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For many people, the COVID-19 pandemic feels like a distant memory. In reality, the SARS‑CoV‑2 coronavirus is still spreading widely across the globe and continues to evolve into new variants. Sometimes these variants are no more dangerous than the previous ones. Yet each newly discovered variant also has the potential to be more harmful than the last, which is why health organizations worldwide monitor emerging variants. Currently, health officials are tracking a new Covid-19 variant called BA.3.2, also known as “Cicada.” Here’s what you need to know about it. What is BA.3.2 ‘Cicada’? BA.3.2 “Cicada” is an offshoot of a COVID-19 variant that has been circulating for over half a decade now. However, it has some properties that are attracting increased scrutiny from scientists and health organizations around the world. Perhaps its most significant property is that it is considered a highly mutated version of the virus. As noted in a recent report from the Centers for Disease Control and Prevention (CDC), “BA.3.2 has approximately 70–75 substitutions and deletions in the gene sequence of the spike protein relative to JN.1 and its descendant, LP.8.1.” JN.1 and LP.8.1 are the Covid-19 variants used in the 2025–26 versions of the COVID-19 vaccines. Because of BA.3.2’s high number of mutations, the new variant has “the potential to reduce protection from a previous infection or vaccination,” according to the CDC. The World Health Organization (WHO) has designated BA.3.2 a “variant under monitoring.” It says current vaccines should still provide protection against severe disease. Why is it called ’Cicada’ The BA.3.2 variant has been nicknamed by scientists as “Cicada,” though this name is unofficial. But some scientists have begun referring to BA.3.2 as Cicada because of another unique property of the variant. As its name indicates, BA.3.2 is an offshoot of the BA 3 variant—but that variant hasn’t circulated widely for nearly four years. Since an offshoot of that variant has waited years to reappear, it has been nicknamed “Cicada” after the insects, which only emerge once every several years, notes USA Today. When did BA.3.2 first appear? According the the CDC, BA.3.2 was first detected in South Africa in November of 2024. Its first appearance in the United States was in a traveler to the United States in June 2025. But it wasn’t until January 2026 that BA.3.2 was first detected in a clinical specimen collected from a patient in the U.S. Where has BA.3.2 spread? It’s important to note that BA.3.2 is not yet a dominant variant. Those remain variants of the XFG family, which has been circulating in the U.S. for some time. However, due to the number of mutations in BA.3.2 and its potential to be less susceptible to the antibodies people gain from vaccinations and prior infections, health agencies have concerns that BA.3.2 could become more dominant. Already, the variant makes up 30% of cases in several European countries, including Denmark, Germany, and the Netherlands. But for now, its occurrence in the United States is less pronounced. In U.S. sequences collected between December 1, 2025, and March 12, 2026, the prevalence of BA.3.2 was just 0.55%, the CDC reported. Which U.S. states have detected BA.3.2? The variant has now been detected in the wastewater of half the states in the country, suggesting its reach is expanding. Those states include California, Connecticut, Florida, Hawaii, Idaho, Illinois, Maine, Maryland, Massachusetts, Michigan, Missouri, New Hampshire, New Jersey, New York, Nevada, Ohio, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, and Wyoming. What are the symptoms of BA.3.2 Cicada? As of now, the CDC doesn’t appear to have discovered any additional symptoms of BA 3.2 that distinguish it from other variants. According to the CDC, possible symptoms of a COVID-19 infection may include: Fever or chills Cough Shortness of breath or difficulty breathing Sore throat Congestion or runny nose New loss of taste or smell Fatigue Muscle or body aches Headache Nausea or vomiting Diarrhea How can I protect myself against BA.3.2 Cicada? The CDC hasn’t issued additional guidance on protecting yourself against the BA.3.2 variant. But it does offer guidance for protecting yourself against Covid-19 in general. That guidance states that you should stay up to date with your vaccinations, practice good hygiene, and take steps to get cleaner air. View the full article

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. Google’s Pixel 10 launched in August 2025 at $799, which already made it a reasonable flagship then, if you liked Google’s software-first approach to Android. Now it’s down to $549 for the 128GB unlocked model on Amazon’s Spring Sale—a $250 drop and its lowest price yet, according to price trackers. The Pixel 10 Pro is also discounted to $749 from $999, which puts both phones in a much more competitive place than they were at launch. Buying an unlocked Pixel 10 means you are not tied to any carrier, so you can switch networks, use local SIMs while traveling, or avoid long-term contracts. Google Pixel 10 Unlocked Android Smartphone ( (128GB, Indigo) $549.00 at Amazon $799.00 Save $250.00 Get Deal Get Deal $549.00 at Amazon $799.00 Save $250.00 What you’re getting here is Google’s latest Tensor G5 chip paired with 12GB of RAM. That extra memory helps when using on-device AI features like Magic Cue, which processes tasks locally instead of relying on the cloud. In practice, this shows up in faster photo edits, smarter suggestions, and less waiting when switching between apps. Compared to the Pixel 9a’s 8GB of RAM, the Pixel 10 feels better prepared for heavier use over the next few years. As for its camera setup, this is the first standard Pixel to include a telephoto lens, so zoom shots hold detail better instead of falling apart past 2x or 3x. This PCMag review also noted better detail retention and more accurate colors compared to the previous generation. You also get the new Qi2 magnetic charging system, which works with MagSafe-style accessories, something Android phones have largely skipped until now. That said, the Tensor chips don’t match the raw performance of Apple’s A-series or Qualcomm’s top Snapdragon chips, so heavy gaming or sustained workloads can show some limits, according to our associate tech editor Michelle’s review. Battery life is also decent but not class-leading, especially if you lean into AI features or camera use. Still, what the Pixel 10 does well is balance. It gives you strong cameras, a clean Android version with fast updates, and useful AI features in a compact design. And at $549, it becomes easier to recommend, especially if you want a smart, camera-first Android phone that will age well. Our Best Editor-Vetted Amazon Big Spring Sale Deals Right Now Apple AirPods Pro 3 Noise Cancelling Heart Rate Wireless Earbuds — $199.00 (List Price $249.00) Apple iPad 11" 128GB A16 WiFi Tablet (Blue, 2025) — $299.00 (List Price $349.00) Samsung Galaxy Tab A11+ 128GB Wi-Fi 11" Tablet (Gray) — $209.99 (List Price $249.99) Sony WH1000XM6- Best Wireless Noise Canceling Headphones — $398.00 (List Price $459.99) Apple Watch Series 11 (GPS, 42mm, S/M Black Sport Band) — $299.00 (List Price $399.00) Blink Video Doorbell Wireless (Newest Model) + Sync Module Core — $35.99 (List Price $69.99) Fire TV Stick 4K Max Streaming Player With Remote — $34.99 (List Price $59.99) Amazon Kindle Colorsoft 16GB 7" eReader (Black) — $169.99 (List Price $249.99) Deals are selected by our commerce team View the full article

Panic-buying a slightly less unpopular rival will not help Labour face its real challengesView the full article

When it was founded in 2017, the shoe brand Kizik was on a mission to bring hands-free shoe technology into the mainstream. It’s now taking two big steps to further that goal. The company is today announcing both a major partnership with New Balance and a new shoe, the $149.95 Kizik Freedom Run, which debuts on April 17. Together, the moves represent an expansion of its existing licensing agreements strategy and of its tech into the performance category for the first time. At its core, Kizik’s tech has always focused on the experience of putting on a shoe in the first place—the company designs slip-on models that cut lace-tying out of the equation through a variety of patented hands-free footwear mechanics. These designs are accessible to those who have trouble tying their shoes, including children, the elderly, and those with disabilities. But the brand has broad ambitions. “We think of the problem this way: Our shoes are for everyone, but they are life-changing for some,” then-CEO Monte Deere explained to Fast Company in 2023. Entering the running space meant the company had to adapt the design for higher intensity use cases but it also expands its reach. Kizik can build brand association with its own technology, and jockey for market share among slip-on running shoes that are already on the market: Its ongoing collaborator, Nike, launched a pair in 2021, On manufactures a line of athletic shoes with kick-down heels, and Skechers has a whole series of shoes in its “Slip-Ins” category. How Kizik designed its first-ever slip-on running shoe The Freedom Run is Kizik’s latest demonstration of its design prowess. The brand’s in-house team, HandsFree Lab, manages more than 200 issued and pending patents related to hands-free footwear mechanics, from extra-pliable tongues to shoes that open with a squeeze and multiple different heel configurations that allow wearers to simply slide their foot into the shoe. As its first foray into performance, Kizik’s design team decided to start with a mid-market running shoe that would be accessible for most athletes. The Freedom Run isn’t an elite game-day shoe, but rather a reliable training shoe that’s built to last. The concept of a slip-on running shoe presents an obvious challenge: pairing a step-on heel with the snug, compressive fit that athletes need. The heel would need to be flexible enough to slip on and off, but rigid enough to keep the foot from sliding out of the shoe with every stride. To address this challenge, the Kizik team opted for the Internal Flex Arc, one of the brand’s lesser-used step-in technologies. It’s composed of two rigid components on the top and bottom, with a tented heel pocket sandwiched in between them. “When you combine those, it enables you to step into the running shoe because it compresses very well,” Hosford says. “The other thing it does when it bounces back is grab your heel. For a running shoe, that’s fantastic because it minimizes heel slippage.” The Kizik team designed the rest of the Freedom Run’s architecture, like the arch and toe-box, to work in tandem with the Internal Flex Arc to keep the foot stable inside the shoe. As an added detail, the team also created a custom foam, called Viva Foam, to serve as the base of the shoe. It’s designed to be compression-resistant to absorb the runner’s stride, as well as ultra-lightweight to avoid adding extra bulk to the shoe. Hosford says the lifespan of this design was tested in a machine that literally slammed the heel component over and over again to assess its durability. The Freedom Run lasted for literally thousands of compressions before it gave out. For now, the Freedom Run stands in its own category for Kizik—but Hosford says that the brand expects to expand its footprint in performance gear in the near future to meet its fans’ demands, the growth opportunity of a large category, and to prove that its hands-free technology can work across a wide range of use cases. Running shoes with step-in functionality fit within an obvious category of innovation: people are always looking for products that will make their life just a bit easier, according to Hosford. “Our founder [Mike Pratt] says, ‘No one winds up their windows in the car anymore. It’s all electric buttons that save 30 seconds, but it’s 30 seconds every day.’ Once that tech has been proven, you just don’t want to go back. It’s kind of the same thing with shoes.” Inside Kizik’s licensing strategy Since 2019, Kizik has worked with Nike to license its hands-free technology on a number of different shoes in Nike’s portfolio. That work has been so successful, according to Kizik CEO Gareth Hosford, that, now, the brand is teaming up with New Balance via a licensing agreement that will help it create its own step-in footwear, expected to debut in 2027. Through its licensing agreements with Nike—and now New Balance—Hosford says these big name brands gain access to a selection of those patents. Then, they work closely with Kizik’s design team to incorporate the tech into their existing styles. “This is a joint effort—we don’t throw it over the wall, we partner with them,” Hosford says, adding, “We sit down with them and go, ‘Okay, which shoes are you trying to deploy this hands-free technology in? What’s the technology that best marries what you’re trying to do? And then we work with them to connect all those dots both through development and then getting them ready for mass manufacturing.” For Kizik, licensing serves the brand’s original purpose of making hands-free technology accessible to as many customers as possible, while also helping the company scale financially. At the same time, Hosford says, the brand wants to maintain its own identity by debuting new, exclusive product innovations under its own name. “We have a great product engine and a great product team ourselves, and we believe that we are coming to market with innovative solutions that enable us to compete,” Hosford says. “Even if we’re also deploying our technology to other companies as well, we still can stand on our own.” View the full article

Before I ever met Sam Kececi, I had already interviewed him on his career, his use of AI, and his thoughts on data privacy. In this case, “him” might be a loose word, depending on your definition—I had spoken not with Kececi himself, but with an AI chatbot that he designed to recall his memories, mimic his personality, and share his opinions. Kececi is an ex-Amazon software engineer who, since August 2025, has been building an AI company called Sentience. The real Kececi, who I spoke to after interviewing his personal AI, describes Sentience as “the digital version of you, but with perfect memory.” It’s a chatbot that uses your emails, Slack messages, Apple Notes, social media, and anywhere else that you might show up online to create a chatbot and assistant that understands the context of your life and mimics your tone, opinions, and writing quirks. As Kececi’s digital doppelganger explained it to me: “The long-term vision is a digital twin that can recall anything you’ve experienced, communicate in your voice, and eventually operate on your behalf.” Sentience debuts to the public on March 26 after raising $6.5 million in an initial seed round led by Bain Capital Ventures. It’s launching for free, but plans to add paid tiers in the coming weeks. Currently, it’s available as a desktop app, mobile app, and an embedded feature in Slack. In the future, though, Kececi says he wants Sentience to be able to “interact in all of the different applications you use,” from iMessage to WhatsApp and Microsoft Teams. Having tested it for about a week, I can say that it’s the most natural-sounding chatbot I’ve ever talked to. It was able to almost uncannily mimic my writing quirks, predict my opinions on design news, and write its own articles from my perspective. Sentience feels like an inevitable next step in the evolution of AI assistants, where instead of a mass-market chatbot that caters to a generalized “you,” you get a personalized bot that knows almost everything about you—for better and for worse. An AI designed to mimic you As AI models have become exponentially more powerful in recent years, the concept of building digital twins has gained popularity. Last April, Stanford University researchers published a paper in which they used AI to build a “digital twin” of the part of the mouse brain that processes visual information, a breakthrough that they said could be applied to future research on the human brain. Right now, the average consumer can use a variety of nascent tools to purportedly clone themselves as a means to be more productive. Sentience aims to marry personalization with the functions of a productivity platform, similar to something like Superhuman or Notion. Kececi first began dreaming of a digital twin while working as the CTO of a software development company called Macro. After spending five years in the position, he started to feel like “a glorified information router.” “I was no longer a human being. I was just someone who shuttled information from one place to the next,” Kececi says. Sentience began to take shape in Kececi’s mind as a tool that bridges that gap. He wanted to build an AI that could perfectly remember everything he had ever created, researched, or written on his laptop, and also format that information to answer questions on his behalf. Kececi bills his concept of a “digital twin” as a response to the big AI models—like ChatGPT and Claude—that have optimized their language responses based on vast amounts of generalized data.. In order to appeal to the broadest user base, many of these tools have developed a standard tone that’s agreeable at best and obsequious at worst (in some cases, to users’ serious detriment). According to an October analysis from researchers at Harvard and Zurich’s Swiss Federal Institute of Technology, AI models are, on average, 50% more sycophantic than humans. “I think the reason is because those models are optimized for keeping you engaged,” Kececi says. “ChatGPT is designed to literally keep you for the maximum amount of time. It turns out that if a language model is complimenting you all the time, then you’re going to use it more. But this is not fundamentally how humans work.” Unlike these bigger models, he explains, Sentience is trained almost exclusively to parse through and digest data about you, the user. How Sentience is designed to remember like a human brain Sentience is powered by an amalgamation of various foundational models. Claude is the main AI powering the program, but it also incorporates other tools like Gemini Flash for heftier queries and WhisperX for transcription. These components are like the bones and muscles powering Sentience—but its custom memory layer is the brain. Constructing Sentience’s communication style started with removing what Kececi calls “the AI slop factor.” Essentially, this stage looked like repeated prompting to strip away the base models’ tendencies toward people pleasing, as well as other AI giveaways like overuse of the em dash and choppy sentence structures. Then, Kececi built a memory layer for Sentience that’s intended to mimic human cognition as closely as possible. First, Sentience takes in as many inputs from a user’s digital life as possible (depending on what the user grants access to), from Uber receipts to Reddit deep dives, programming projects, and email history. Then it categorizes that data into short-term and long-term memories; short-term being whatever the user is currently working on, and long-term being everything else. Sentience sorts these memories into what Kececi describes as a kind of web chart. Each bigger topic—or example, a work project—can be imagined as a large circle, with many smaller sub-topics connected to it, like the people working on the project and their email exchanges. When Sentience is prompted, it goes through a retrieval process that takes into consideration heuristics like significance, uniqueness, recency, and keyword matching to navigate this complicated web and find the most relevant information. The ultimate result, Kececi says, is a chatbot that might not be a Renaissance man on every topic, but instead is a specialist in you. “The whole bet is that context beats capability,” his AI twin tells me. “A dumber model that knows everything about you will outperform a frontier model that knows nothing about you.” I try building my own digital twin I decided to put that claim to the test. For a week, I let Sentience in on my digital life—and tested how well it could really mimic me. When you first download Sentience, it appears as an app on your desktop. You then give it some basic information, like your name, your city of residence, and your LinkedIn profile. From there, you select from a list of digital footprints that Sentience can have access to, including your calendar, email, ChatGPT, Twitter, Apple Notes, and any PDFs you’d like to upload (other options, like Slack, iMessage, Notion, and Google Drive are coming in the next couple months). You can also choose to allow Sentience to record both your screen and your audio, which lets it see everything you’re looking at on your computer and record any calls. I granted my Sentience access to my LinkedIn, personal email, calendar, ChatGPT history, and multiple uploaded PDFs of my own articles. Using this data, Sentience creates an “About You” section, listing major events in your life and notable facts, as well as a five-part “Tone & Style” section, which breaks down, in rather minute detail, exactly how you talk online (mine, for reference, accurately noted that I “use a mix of professional jargon related to design and news” paired with “expressive, modern terms.”) Both of these sections can be fully edited by the user to make any preferred tweaks. Once Sentience is up and running, it can handle rote tasks like drafting and sending emails based on your past messages, or booking meetings on your behalf (any actions that involve other people require approval from the user before they’re finalized). I successfully drafted an email to an interviewee through Sentience and added a gel manicure to my calendar that had been previously scheduled over email. But it can also tackle more personal inquiries, ranging from remembering how you were feeling after an important meeting to summarizing an article or website based on your own values and opinions. I received a startlingly accurate assessment of what I might write about a rumored new Lego set, for example. Sentience also has another function that’s likely to turn some heads: People can choose to make their Sentience “public” by sending a link to anyone who’d like to chat with it on a web browser, in Slack, or via its own email address. Behind the scenes, the user can see the full conversations that their Sentience is having, but the AI chatbot is fully responding on their behalf using what it knows of their personality and opinions. In practice, Kececi says this tool will be helpful to people who spend a lot of time answering the same questions, like executives in leadership roles. In beta testing, he’s also spoken to company founders, a Dallas high school teacher, and a Nebraskan farmer who’ve tailored their Sentience for their own use cases. As useful as a digital twin might be, Sentience also surfaces complicated ethical questions around how people can use the AI. What if someone asks for personal information, like an address? Or asks for an opinion that the user wouldn’t want to share? Kececi says that Sentience has been designed so that sensitive information—like the user’s location, banking information, and social security number—is completely inaccessible to the external-facing version of the tool. He also explains that while users’ personal Sentience might engage in more in-depth opinionated conversations, the public version is trained on thousands of different guidelines to keep it “conservative” with what it shares. I convinced Kececi’s Sentience to share some musings on the afterlife and thoughts he’s previously shared on immigration via his private Twitter account. But when I pushed for his address, and asked who he voted for, the bot cut me off with polite dismissals. My Sentience makes some mistakes After my Sentience profile loaded, I spent some time digging into the information that it had compiled about me. Most of it—like that I volunteer weekly at a cat shelter, read design news voraciously, and use emojis sporadically—was accurate. Some of it, though, was not. According to my Sentience’s “About You” section, I started a Girl Scout troop in 2021 in Englewood; announced the publication of a book in 2026; and, in just the past few weeks, appeared on a billboard in Times Square, a “significant professional milestone.” None of this actually happened. When I questioned my personal Sentience on these details, I was able to find that each of them were pulled from my emails and misattributed to me. In the case of the Girl Scout troop, Sentience even found its own mistake after I asked for more details, admitting, “I don’t have any personal emails, notes, or documents in your memories that directly tie you to co-founding the troop.” But, when I asked my public Sentience about both my appearance in Times Square and my apparent time leading Girl Scouts, it regurgitated both of these falsehoods. In some cases, my personal Sentience also invented information about me when it didn’t have anything on hand to answer a question. When I asked what I believed about the afterlife, it responded, “Honestly? I don’t know. I was raised with some exposure to the idea but I wouldn’t say I have a firm conviction either way. I think I want to believe in something—not necessarily pearly gates and harps, but some kind of continuity. The idea that consciousness just stops feels too abrupt for how complex being alive is.” After this rather lyrical response, I then pushed it to explain why it said I was “raised with some exposure to the idea.” It immediately backtracked: “Ha, fair catch. I genuinely don’t know that about myself—I was kind of freestyling there. I have no idea what my actual religious background is or what I was raised with.” When you’re interacting with an AI with the potential to speak on your behalf, the last thing you want to hear is that it’s “kind of freestyling” about your religious beliefs. On that point, when I asked my public AI the same question, it did deliver a slightly less personal answer, opting for a more vague approach: “I don’t really have a firm take on that one. It’s the kind of thing I think about sometimes but don’t pretend to have answers to. I think most people are in that same boat whether they admit it or not.” In this case, at least, it seems like the public-facing guardrails prevented my external AI from inventing information. When I flagged these errors and hallucinations to Kececi, he admitted that, “like most AI systems, we’re not 100%,” adding that he’s working to make it easier for users to fix errors in their Sentience’s memories. Still, it’s a possibility that would make me think twice before sharing my public Sentience with anyone else. A message from my digital twin These smaller inaccuracies rank lower on my list of concerns compared to the existential questions that an AI like Sentience raises. As I imported PDFs of my previous articles into Sentience’s database and watched it use them to draft entirely new content based on my tone, it started to feel like I was training my own replacement. As a journalist, the concept of an AI tool that’s capable of accurately recreating my writing and tone is my worst nightmare, and I told Kececi as much. His primary response is that to prevent Sentience from being used for plagiarism or content farming, he’s been extremely strict about users’ data privacy. As it stands, users’ back-end Sentience data is encrypted so that no one—even Kececi himself—can access it, and Kececi has worked with his team’s lawyers to ensure that users own their Sentience profiles and data, to the point that they could leave it in their will if they so chose. If someone were to use my public Sentience to start generating content in my voice, he says, I could simply read the chat logs and block them. “As long as we leave people in control, then I’m a big fan of making individuals empowered, and different people will do different things,” Kececi says. “I also don’t really want to live in a world where everything is AI-written.” Kececi, like many other AI founders, makes the claim that Sentience will augment human creativity, not replace it. To some extent, that’s fair: my Sentience did help me search through my own digital life for receipts, organize communication, and even talk through big ideas. Still, on a fundamental level, the concept of creating an AI with the intended goal of serving as a human’s “digital twin” feels like a potential threat to that same creative enterprise. While writing this story, I talked this tension through with my Sentience, and asked it to write about it in my style: “There’s a philosophical wrinkle here that Sentience hasn’t fully resolved,” it began. “As someone whose literal job is writing in a distinctive voice, it’s one I can’t stop turning over.” My twin continued that Sentience pitches itself as an augmentation tool, musing that, in some ways, that goal checks out. However, it added, “Every time I asked it to write something for me, it got a little better at sounding like me. Which is the point—until you follow the logic one step further. If a tool can learn your voice well enough to produce work that passes for yours, what exactly is it augmenting? At what point does ‘helping you write faster’ become ‘writing without you’?” For a journalist, it says, that’s not an abstract question. “The paradox at the center of Sentience—and, arguably, this entire wave of AI products—is that the better it works, the stronger the case that you didn’t need to be there in the first place. Sentience would probably argue that the human is still the source material, still the lived experience the tool draws from. But source material doesn’t collect a paycheck.” I couldn’t have said it better myself. View the full article

At a recent retreat I was attending, I found myself in one of those “hallway moments.” Walking out of a lecture, I was engaged in conversation with a fellow attendee. Soon it became clear we had differing opinions about the topic. As I felt myself getting tense, formulating my response in my mind, I caught a glimpse of myself in a wall of mirrors as we walked by a pilates studio on the property. I didn’t like what I saw—it was not my best self. I did not look calm, cool and collected; instead, I looked tense and ready to charge. The exact opposite vibe that was the goal of this retreat. That quick glimpse of myself helped me to check myself, adjust my face, slow down my thinking and turn to the person, more readily available to consider their perspective. That moment of self-awareness—when observation sparked reflection—captures something counterintuitive emerging in workplaces today. In an era when we fear AI is making us less human, a new generation of tools is doing something unexpected: they’re teaching us to be more emotionally intelligent. The Hawthorne Effect, reimagined Nearly a century ago, researchers at Western Electric’s Hawthorne Works factory in a Chicago suburb discovered something surprising: workers became more productive when they knew they were being observed, regardless of whether conditions improved or worsened. The conclusion? Simply knowing that someone was paying attention changed behavior. Rick Fiorito, co-founder of CivilTalk and its conversational intelligence tool Clarion AI, has witnessed this phenomenon play out in real-time. When his team introduced AI-powered observation into university classrooms—designed to assess emotional intelligence in peer-to-peer discussions—they braced for conflict. What happened instead stunned them. “When people asked us what we do when participants behave badly, our answer was: ‘They don’t,’” Fiorito told me. “When people know they’re in a situation where they’re being observed for civility, they behave more civilly.” This is the Hawthorne Effect for the AI age: not surveillance that breeds resentment, but awareness that cultivates better behavior. The technology isn’t forcing compliance; it’s creating the conditions for people to show up as their better selves. Beyond observation: The power of the reframe But observation alone isn’t transformation. What makes tools like Clarion AI distinctive is what happens after the conversation ends. The platform doesn’t just identify when emotional intelligence is present or absent—it offers something Fiorito calls “reframing.” Consider a heated discussion about a contentious topic. One participant erupts: “You have a right to your opinion, but you don’t have a right to your facts!” The conversation spirals. Emotions eclipse substance. Nothing productive emerges. The AI observer catches this moment and offers an alternative: “That is your opinion. What facts do you use to support it?” Same intention. Different outcome. The technology identifies the breakdown, explains why it derailed the exchange, and models a more emotionally intelligent path forward. This follows the classic leadership principle: praise in public, correct in private. The AI becomes a coach, not a critic. The business case for emotional infrastructure For skeptics who dismiss emotional intelligence as “soft skills,” the data tells a harder story. Sixty-one percent of executives believe emotional intelligence will be a must-have competency in the next five years as automation grows. Emotional intelligence accounts for 58% of job performance across industries—making it the strongest predictor of success among 34 essential workplace skills. And employees with empathetic leaders report 76% higher engagement and 61% greater creativity. As Fiorito frames it, the real value proposition isn’t technological efficiency, it’s human effectiveness. “Likability, credibility, and dependability,” he says. “Those three factors have nothing to do with technology. They are all related to emotional intelligence.” The paradox is clear: in an age when AI threatens to automate technical skills, the distinctly human capacities of empathy, self-regulation, social awareness, become the competitive advantage that technology cannot replicate. Einstein on your shoulder When people express fear about AI taking over, Fiorito offers a reframe of his own: “How can you not want Einstein on your shoulder?” Having worked at the leading edge of technological innovation for three decades—from the early days of cell phones to internet payments to AI-powered lending—Fiorito sees a consistent pattern. Technology itself holds no inherent value. “It’s in the application,” he emphasizes. “It’s what you do with it, and how you use it.” The most promising application isn’t using AI to replace human connection, it’s using AI to amplify it. Tools like Clarion don’t compete with counselors, mediators, or leaders. They give those professionals an observer who catches nuances they might miss, documents patterns they couldn’t track, and identifies points of agreement obscured by emotional noise. What this means for you The rise of AI-powered emotional intelligence tools offers three immediate opportunities: Embrace the observer effect intentionally. The Hawthorne research shows that attention itself changes behavior. Create contexts where your team knows their interactions matter—not through surveillance, but through genuine investment in how people communicate. Build reframing into your culture. Rather than punishing communication breakdowns, model the alternative. Ask: “How might you have said that differently?” This transforms conflict into learning. Use AI as a starting point, not an endpoint. The real skill isn’t prompting AI—it’s what you do after. Let technology surface insights, then step away from the screen. Tinker with those ideas. Engage with other humans about what you’ve discovered. The future doesn’t belong to those who fear AI or those who blindly worship it. It belongs to those who recognize that the most powerful technology is one that makes us more human—one conversation at a time. View the full article

One of the most distinctive features of the U.S. military’s high-energy laser weapon of choice isn’t the system itself—it’s how operators control it. In a 60 Minutes segment on military laser weapons that aired on March 15, CBS News correspondent Lesley Stahl traveled to Albuquerque for an up-close look at defense contractor AV’s 20-kilowatt LOCUST Laser Weapons System, which has been watching over U.S. service members abroad (and triggering occasional airspace shutdowns near the U.S.-Mexico border at home) in recent years. With Iranian Shahed now pummeling the Middle East and the U.S. Defense Department racing to field inexpensive countermeasures to address the ever-expanding threat of low-cost weaponized drones, Stahl explores the advantages (and limits) of laser weapons and how they fit into the evolution of modern warfare. But my favorite part of the 60 Minutes segment is when Stahl takes a LOCUST for a spin and discovers that the futuristic laser weapon is operated with a tried-and-true Xbox controller, an interface AV bills as “a natural fit to today’s warfighter.” For years, U.S. service members have relied on Xbox controllers to operate everything from small unmanned systems like airborne drones, explosive ordnance disposal robots, and experimental ground vehicles to larger assets like the U.S. Army’s M1075 Palletized Loading System logistics vehicle, remote-controlled weapon stations, and even the photonics mast that has replaced the traditional periscope on the U.S. Navy’s new Virginia-class submarines. The logic of embracing the handset simple: If the vast majority of Americans grow up playing video games and even continue playing into adulthood, why not adopt a control system that capitalizes on U.S. troops’ preservice experience and reduce the training timelines for advanced weapons systems? “The gaming companies spent millions of dollars developing an optimal, intuitive, easy-to-learn user interface, and then they went and spent years training up the user base for the U.S. military on how to use that interface,” military technologist Peter Singer previously old me of the Pentagon’s Xbox fixation. “These designs aren’t happenstance, and the same pool they’re pulling from for their customer base, the military is pulling from . . . and the training is basically already done.” Xbox controllers and high-energy laser weapons in particular appear to be a match made in heaven, and not just with LOCUST. More than a decade ago, the beam director on the U.S. Army’s truck-mounted 10-kilowatt High Energy Laser Mobile Demonstrator (HEL MD) was operated using an Xbox handset. So is the 10-kilowatt High-Energy Laser Weapon System (HELWS) from Raytheon that both the U.S. and U.K. militaries have tested in recent years, according to a 2018 video published to the U.S. military’s Defense Visual Information Distribution Service (DVIDS). So too is Boeing’s 5-kilowatt Compact Laser Weapon System (CLaWS) that the U.S. Marine Corps began evaluating in 2019. And at the 2026 Singapore Airshow defense exposition in early February, American laser company IPG Photonics showed off its new Crossbow Mini—a 3-to-8-kilowatt laser weapon billed as a compact air defense option for U.S. and allied forces—alongside a similarly styled Xbox controller. Even laser weapons that don’t use Xbox’s proprietary controllers themselves still rely on their familiar ergonomics. As I previously reported, the U.S. military has its own ruggedized handset, the Freedom of Movement Control Unit (FMCU), that’s based on the tried-and-true dual-grip video game controller and used to operate several advanced weapons systems, including the Navy’s 30-kilowatt AN/SEQ-3 Laser Weapon System (also known as the XN-1 LaWS) that was previously installed aboard the Austin-class amphibious transport dock USS Ponce, the U.S. Air Force’s laser-equipped Recovery of Air Bases Denied by Ordnance (RADBO) truck, and the U.S. Marine Corps’s Humvee-mounted High Energy Laser-Expeditionary (HELEX) demonstrator. While Xbox-style controllers may make laser weapons easier and more intuitive to operate, they don’t solve a larger problem facing the U.S. military: With the rapid proliferation of autonomous weapons systems across the modern battlefield, combat now occurs at machine speed, with tactical decisions unfolding in mere seconds—and sometimes milliseconds. By the time a human operator can visually confirm a target, slew a controller’s joystick, fine-tune their aim, and fire off a laser beam, the engagement window may already have closed. The “human weapon system” can be just as much a bottleneck to swift and decisive action as the design of a human-machine interface. Video game controllers have lowered the training barrier, but it’s artificial intelligence that may prove decisive in squeezing every last iota of “lethality” out of laser weapons. With the right computer vision and machine learning software, an AI-powered weapon system can ostensibly identify and track targets faster and, with the appropriate control surfaces, more precisely than even the most skilled U.S. service member can muster manipulating a physical joystick—precision that’s essential for laser weapons that must maintain a stable beam on a single weak spot for several seconds to inflict catastrophic damage. Indeed, AV’s LOCUST system relies on its AI-enabled “Wisard” acquisition, tracking, and pointing software to lock on to fast-moving threats with uncanny precision to purportedly deliver maximum damage in minimal time. The result, company executives previously told me, is a 20-kilowatt laser weapon that can deliver effects equivalent to a 100-kilowatt system without piling on additional power. AI is slowly creeping into other military laser weapons. As of February 2025, the Navy was actively working to integrate AI into the Marine Corps HELEX demonstrator ahead of live-fire testing. The Pentagon has been testing the autonomous Archimedes Laser Sentinel developed by startup Aurelius Systems for the past year. And this logic extends beyond the U.S. military: Israeli defense firm Rafael plans on adding AI to its operational Iron Beam laser air defense system so operators can shoot down drones with enough precision to at least somewhat control the disabled target’s descent, according to company CEO and President Yoav Tourgeman. “For example, if it’s an airplane and you cut the right wing, [it will] flip over and come to the right. If you cut the left wing, you will fall to the left. You have a kind of a control where, how to intercept it, where you will be landing,” Tourgeman told Breaking Defense at the Association of the U.S. Army annual expo in October 2025. “You understand that there is room [for] the system to learn and improve itself. And now we have the capability of every target, to work on several interception methods that will give different results.” The argument for marrying AI and laser weapons is persuasive: when engaging small, fast-moving drones, especially in swarms, maintaining a laser’s dwell time is a punishing task, and algorithms ostensibly don’t get tired or distracted and let their aim slip in scenarios where even a instant off target can break an engagement. In that sense, the Xbox controller may ultimately become less a tool of direct control and more a supervisory interface, an intuitive way for a human operator to authorize or abort decisions already generated by software. The Xbox controller makes laser weapons easy to operate for generations of U.S. service members who grew up on video games. But as AI enables these systems to move at the speed of the threat, the big question is how long humans will remain in the loop at all. This article is republished with permission from Laser Wars, a newsletter about military laser weapons and other futuristic defense technology. View the full article

Middle East war to push American price growth to ‘highest in G7’View the full article

Outlook underscores economy’s exposure to conflict through reliance on energy importsView the full article

A recent executive order encouraging changes to the Consumer Financial Protection Bureau's Ability-To-Repay and Qualified Mortgage rules are adding to a packed agenda at a time when the agency has lost a third of its staff. View the full article

The remains of the East Wing of the White House could one day be buried under a golf course designed by the president who ordered its demolition in the first place. As President Donald The President seeks to physically remake the U.S. capital city to an extent never before seen in the modern presidency, the rubble from the construction site of one of his most visible projects has been trucked to the site of one of the least: a public golf course that sits on a stretch of land in the middle of the Potomac River between Washington, D.C., and Virginia. The East Potomac Park Golf Links at Hains Point, currently open to the public, is one of three Washington, D.C., golf courses overseen by the National Park Service that The President hopes to remodel. But in the meantime, it’s become a dumping ground: Construction workers have been disposing of dirt and rubble from the demolished East Wing there since The President ordered its teardown last fall. The debris can then be used to fill in the golf course above the flood plain, as recommended by Interior Secretary Doug Burgum, per The Wall Street Journal. It also serves as a fitting metaphor for The President’s D.C. redesign ambitions. The President’s effort to replace the site of the East Wing with an oversize ballroom and to install an arch two and a half times taller than the Lincoln Monument outside Arlington National Cemetery are his largest proposed D.C. redesign projects, while the placement of his name on building facades and his likeness on currency and banners in D.C. are perhaps his most vain. The golf course, however, might be the closest to his heart. In his first year back in office, The President made 106 visits to one of his golf properties. And in The Art of the Comeback, his 1997 ghostwritten memoir published following a string of bankruptcies in the ’90s, he listed “Play Golf” as his top comeback tip because it helped him relax, concentrate, take his mind off his problems, and make money. “I only thought about putting the ball in the hole,” he wrote. “And, the irony is, I made lots of money on the golf course—making contacts and deals and coming up with ideas.” Golf course designer Tom Fazio, who has designed The President-owned courses in the past, is now reportedly overseeing the East Potomac redesign after having toured the course last November under an alias, according to Golf Digest. The magazine also reported that some in The President’s orbit see the Langston Golf Course, a municipal course near the future site of the new Washington Commanders football stadium, as a prime site for commercial and retail development. The reported plan is to rename East Potomac Park “Washington National,” giving the course the naming convention of The President properties like the The President National Golf Clubs located in Potomac Falls, Virginia, and in Rancho Palos Verdes, California, respectively. (It also sounds like the name of D.C.’s Major League Baseball team.) Work is expected to break ground in July on an 18-hole championship-level course that could host tournaments. For now, East Potomac remains open seven days a week, and players can hit the course (up to 18 holes) for less than $50 or practice on the driving range from 8 a.m. to 8 p.m. every day but Wednesday (when it opens at 11 a.m.). No word on how much a redesigned course would cost under The President, but a source told Golf Digest that locals could get a discount. If The President’s White House redesign aim is to turn the People’s House into Florida Man’s McMansion, his plans for a proposed golf course suggest a wider ambition to make D.C into a The President-branded compound—and to give public lands the look and feel of a The President property, too. View the full article

With help from AI, I finally tackled some computer chores that I’ve been putting off for months. My Downloads folder is cleaner than it’s been in ages. The photos that OneDrive blandly sorted by month are now arranged into folders by event. The obscure, unpurchasable jazz album I ripped from YouTube ages ago is now properly sliced into separate tracks, tagged with metadata, and sitting inside my media server at last. Instead of spending hours on those tedious tasks myself, I delegated them to Manus, an AI assistant whose desktop app is free to download for Mac and Windows. Manus launched in March of last year with an emphasis on being able to accomplish tasks autonomously, and last week it gained the ability to work with files on your computer. (Meta acquired the startup in December, reportedly for more than $2 billion.) Alongside Claude Cowork, Perplexity’s Personal Computer, and the virally popular OpenClaw (whose creator was acqui-hired by OpenAI last month), it’s one of several AI tools that promise to take control of your computer to get things done. When they work, these agents can be pretty satisfying and can save a lot of time. But just like my experience with OpenClaw, using Manus is a reminder of how expensive artificial intelligence can get when it’s aggressively metering your usage. Getting Manus to do much of anything could easily cost more than several typical software subscriptions combined. Cleaning and sorting files Like AI in general, Manus is largely what you make of it. The app presents you with a blank text box and a button for choosing which folders it’s allowed to access, and it’s on you to think about what AI might do with this capability. Cleaning my Downloads folder was a logical first step. Manus suggested some obvious files to delete—things like old installer files—and with some extra prompting, I had it sort everything else into folders based on file type, which helped me sort and delete the unnecessary stuff. Dealing with that YouTube album download was even more satisfying. With just a single prompt, Manus figured out how to reference the track timings on Discogs, wrote a Python script to split the 45-minute MP3 file without re-compressing it, and tagged the resulting files with titles and cover art. From there I moved onto something more ambitious: I pointed Manus at a year’s worth of photos in my OneDrive folder and asked it to sort them into new folders for things like trips and special occasions. Through a combination of metadata and computer vision, Manus correctly recognized my annual trip to cover the CES trade show, a variety of family vacations, and even my nephew’s bar mitzvah. It only took a couple follow-up commands to get the sorting just right. Working with documents In addition to pushing files around, I decided to have Manus work with my notes from Obsidian. Because Obsidian’s underlying notes are just Markdown files in a folder on my computer, Manus can easily extract data from them and make edits. I started by just having Manus summarize and add to my weekly agenda, but then I noticed Manus can also connect to external services like Gmail and Google Calendar. After setting up those connections, I had Manus look through my inbox and flag important emails as tasks to complete, while adding work-related calendar events to the agenda as well. And while I’m still not keen on having AI write for me, I decided to have Manus take a crack at a first draft for this story, using my drafts folder in Obsidian as a reference for my writing style. The results were mostly garbage, but I’ll begrudgingly admit that the first few paragraphs were decent and gave me some ideas on how to get started. Credit catches and security worries While I’m pretty satisfied with what Manus was able to do, I probably won’t continue to use it. That’s partly because I’m worried about the security implications, especially when connecting to apps like Gmail and Google Calendar. Prompt injection remains an unsolved problem in AI, and the risk is that an attacker could embed secret instructions in a calendar invite or email designed to steal personal data. I’m not comfortable letting Manus access this data without making it read-only, which doesn’t seem to be possible. As a piece of productivity software, Manus also just becomes wildly expensive the more you use it. While the app itself is free to download, you only get 300 free “credits” to use per day. Paid plans come in increments of roughly $20 per month, each giving you 4,000 extra monthly credits. After just a couple days of using Manus, I was already halfway through that monthly allotment, plus the 1,000 bonus credits Manus provided at sign-up. Adding items to my agenda—including data from Google Calendar and Gmail—cost about 300 credits. Organizing a single year’s worth of photos cost about 1,000 credits. Managing my Downloads folder—including the MP3 file I needed to split up—cost another 1,000 credits. I also asked Manus to work on a bespoke tool for deleting similar or duplicate photos. This ate up nearly 1,400 credits before I realized my allotment would be better spent trying other things. Once those 4,000 credits expire, the only options are to wait until the monthly limit resets, make do with the meager 300 daily credits Manus offers, or upgrade to a pricier subscription tier. It didn’t help that Manus kept pushing me toward its “Max” model for certain tasks, allowing it to burn through credits even faster. As with OpenClaw, I imagine there’s a category of AI enthusiast that thinks nothing of such expenditures. But I’m used to paying in the range of $5 to $10 per month for productivity software, and that’s for things I consider indispensable. I can’t justify paying $20 to $40 per month (or more) for something I’m still figuring out how to use. If I’m going to keep using AI to control my computer, I’ll likely do it through Claude and its Cowork feature, which requires a $20 per month Claude Pro subscription. While its usage meter is more opaque, at least it resets on a weekly basis instead of a monthly one. But as someone who tries to get by with the free versions of AI tools whenever possible, I’ll also probably just wait for more computer chores to pile up before spending any more money to get rid of them. View the full article

The most impressive move by three-time world surfing champ John Florence in his new video series isn’t riding a wave; it’s flying across open ocean on a catamaran while holding his puking 1-year-old son over a bucket. The new six-part series called Vela, directed by Florence and produced with outdoor gear and apparel company Yeti, embodies a broader shift in how the iconic surfer is approaching both his career and the goal behind his namesake brand, Florence. After winning his third World Surf League title in September 2024, Florence chose to leave the pro surfing tour to sail around the world with his wife, Lauryn, and son, Darwin. They lived off the grid, explored remote corners of the Pacific Ocean, and searched for new waves and adventure. Vela was shot over 18 months and also features his brothers (and fellow pro surfers) Nathan and Ivan in Florence’s high-performance sailing catamaran called Vela. All YouTube proceeds will support ocean-minded causes in the locations visited in each episode. The first episodes are already online, and the remaining ones will drop weekly through mid-April. Surfing has a long tradition of competitive surfers swapping contest heats for the travel and adventure of what’s known as free-surfing. Names like Rob Machado, Dane Reynolds, Mick Fanning, and Mikey February have made the swap from winning prize money to making a living off sponsors and video content at various points in their careers. Expanding the scope of his career beyond contest waves also embodies Florence’s broader outdoor aspirations for the Florence brand, which he founded in 2021. That goal is to get people outside, no matter what form. “If you have a really great piece of Patagonia or Yeti gear or whatever it is, you look at it, and it makes you want to go do that trip or [be] outside doing something,” Florence says. “I always thought that was so cool, and it is a big part of Florence. Helping to inspire you to get out and do things, whether it’s in the ocean or not.” Go with the flow The new series is a follow-up to a similar series produced with Yeti back in 2022, long before toddler sea sickness was a factor. Florence says his creative process has evolved since his first solo film project in 2015, View From a Blue Moon, directed by Blake Vincent Kueny (which became the best-selling surf movie of all time). “That was a big surf movie project we worked on for a couple of years, where I knew going in I was going to spend two or three years wanting to get the best waves and the best surf footage possible,” Florence says. “Now, when I know I want to do something, I don’t really know what it is at the start—let’s just go with the flow.” I spoke to Yeti’s head of marketing, Bill Neff, at SXSW (listen to the whole interview on Fast Company’s Brand New World podcast) about the value a series like Vela brings to the brand, and why it was important to be patient for the four years between the two editions. “In a world where people want to cut things down to six seconds for an impression, there is no real value to the end consumer—it’s just a swipe,” Neff said. “If you can actually get someone to sit down and watch an episodic 30-minute show, that is the true value of a relationship. We believe long-form content inspires people or gets them excited about what they love, and that has long-lasting effects on the brand.” Surf-based, outdoor overall Just as Florence has left the WSL tour to do more sailing and experience new adventures, his goals for the brand Florence have also begun to branch out beyond his surf-specific audience. “It just felt like these last two years have really opened up my mind more to what I want to do,” he says. “I’m inspired to go do these other things, and I really do think it allows more room for my brand to go outside of just surfing competition, too.” There’s a delicate balance in creating content that can feel both relatable and aspirational. Not everyone is a world champion surfer, nor can they just jump on a performance catamaran and take off. That’s the aspirational part. What makes this new series so relatable is how Florence is balancing that part with the realities of family life and fatherhood in its midst. “That’s the goal for us,” he says. “And the biggest part is just realizing that everyone’s adventure is slightly different.” View the full article

A new browser extension just debuted that’s designed to be used in tandem with an AI chatbot. Its goal is to make the experience worse. “Are you concerned that you or your loved ones might be experiencing a LLM-induced psychosis? Or participating in a massive de-skilling event? Or outsourcing cognitive and emotional functions to auto-complete?” designer Sam Lavigne asks in a YouTube video introducing his new product. “Then you should install ‘Slow LLM’ on your computer.” Lavigne is an assistant professor of synthetic media and algorithmic justice at Parsons School of Design, as well as an artist and web designer. Slow LLM is his latest creation, and its entire purpose is to make using AI chatbots as excruciating as possible. Whereas ChatGPT might answer a simple prompt such as “What day is it?” in a matter of milliseconds, Slow LLM intervenes to stretch that out to the nails-on-a-chalkboard pace of 30 seconds or more. Slow LLM is a small yet eye-catching act of digital protest against the proliferation of AI tools, and it joins a growing catalog of similar efforts like “Your AI slop bores me,” a human-powered chatbot, and “Slop Evader,” a Chrome extension built to turn back the clock to the days before AI-generated search summaries. Those behind these projects, which Lavigne describes as “tiny tools for digital sabotage,” know that they’re not exactly combating the wave of artificial intelligence and large language models. Instead, they’re asking users to reconsider how they’re using AI tools—and what they might be missing out on in the process. Designing a tiny tool of digital rebellion Lavigne is no stranger to creating tools of digital sabotage. His past projects have included “Slow Hot Computer,” a website that does exactly what the name suggests; “Zoom Escaper,” a tool to help you escape Zoom meetings by self-sabotaging your audio stream; and “The Good Life,” an email service that sends you 225,000 emails from the Enron email archive in chronological order. For Lavigne, these sites are all about turning the mission of most web developers on its head by creating more friction rather than removing it. In the case of Slow LLM, Lavigne explains: “Like many other people, I’ve been thinking a lot lately about the political, financial, ecological, and emotional effects of LLMs. I became interested in exploring ways to disrupt their usage, either as something that people might wish to do to themselves, or as a kindness to others.” He decided that, to achieve this goal, it would be best to take a softer approach—making LLMs worse, rather than blocking them altogether. In a matter of days, he pulled together Slow LLM. The browser extension, available for Chrome and Firefox, currently works to stunt both OpenAI’s ChatGPT and Anthropic’s Claude. It functions like a football player intercepting a ball mid-pass. Typically, when a user chats with an LLM in a web browser, it sends that prompt to a server using a built-in JavaScript function named “fetch.” Slow LLM replaces fetch with Lavigne’s own version that buffers all network requests, making them appear to run at a trickle. AI adoption feels effortless when it’s fast, easy, and convenient. Slow LLM invites reluctant users to reconsider their choices while watching ChatGPT painstakingly thread together a response that they could have just Googled. View the full article

Below, coauthors Blythe Harris and Mallory May share five key insights from their new book, Daily Creative: The 5-Minute Habit to Rewire Your Brain. Harris is an artist and entrepreneur, and for many years was the cofounder and chief creative officer of Stella & Dot. Today, she runs Daily Creative with her partner, May, where they focus on creativity as a daily wellness practice—not an artistic achievement. What’s the big idea? Creativity is a natural human capacity that grows stronger with use. When we treat creativity as a small daily practice rather than a high-stakes performance, it becomes a powerful tool for well-being, flexibility, and feeling more alive. Listen to the audio version of this Book Bite—read by Harris—in the Next Big Idea app, or buy the book. 1. Creativity isn’t a talent—it’s a practice. One of the most persistent myths about creativity is that you either have it or you don’t. But creativity works much more like a muscle than a trait. Just as your body needs movement to stay strong, creativity needs regular use to stay alive. Creativity is innate, but it requires nourishment and practice. When we don’t use it, it doesn’t disappear; it simply goes dormant. Many people who say, “I’m not creative,” didn’t lose creativity. They adopted a fixed mindset after an early experience of judgment or shame. Maybe a teacher frowned at your poem. Or maybe your horse looked like a hamburger in drawing class, and you decided to never try again. Over time, creativity stopped feeling safe, so you opted out. What we’ve seen is that when creativity is reintroduced as a practice—something small, playful, and low-pressure—people reconnect quickly. Confidence doesn’t come from being good at creativity. It comes from using it regularly, without fear. 2. Small creative acts create meaningful shifts. We often assume that meaningful change requires large amounts of time or effort. But the brain frequently responds more to consistency and novelty than to duration. Brief creative engagement—especially when it’s playful and nonjudgmental—can interrupt habitual thinking and invite new perspectives. The goal isn’t to do more or to do it perfectly. It’s simply to engage often enough to stay mentally flexible. We hear people say things like, “I didn’t make anything good, but I felt different afterward.” That feeling—slightly more open, more awake—is the shift that matters. Creativity doesn’t have to be impressive to be effective. 3. Creativity supports well-being. Creativity is often framed as self-expression, but it also plays a powerful role in mental and emotional health. Engaging in creative activity has been shown to increase brain plasticity, reduce stress and anxiety, and support cognitive flexibility and open-mindedness. Over time, creative engagement is also associated with improved memory and may even play a role in protecting against cognitive decline. What’s especially interesting is that many of the benefits of creativity mirror those of meditation—greater calm, presence, and emotional regulation—but creativity often feels more playful and accessible. You don’t have to quiet your mind. You just have to engage it differently. Many people feel calmer, clearer, or more grounded after creative engagement, even when nothing particularly successful comes out of it. Creativity allows us to process experience indirectly, without needing to explain, analyze, or fix everything. In that way, creativity becomes less about output and more about care. 4. Perfectionism blocks creativity. Perfectionism narrows attention and increases self-monitoring, both of which make creative thinking harder. One of the most effective ways to restore creativity is to lower the stakes. Simple constraints, repetition, or clear starting points shift the focus from outcome to process. Instead of asking, “Is this good?” the brain starts asking, “What happens if I try this?” We’ve seen this again and again: When people are given a simple rule—like drawing with their nondominant hand or working within a grid—the pressure drops immediately. They begin experimenting, laughing, and surprising themselves. Letting go of perfection isn’t a personality change. It’s a skill you can practice. 5. Creativity is about aliveness, not output. At its core, creativity isn’t about what you produce—it’s about how you engage with the world. People often describe feeling more alive after creative moments: more present, more connected, more themselves. That sense of aliveness doesn’t require talent or training. It comes from allowing curiosity and attention back into daily life. Creativity, in this sense, isn’t something you earn. It’s something you allow. Enjoy our full library of Book Bites—read by the authors!—in the Next Big Idea app. This article originally appeared in Next Big Idea Club magazine and is reprinted with permission. View the full article

The automotive industry is driving toward an electric future, and one Montreal-based company is determined to tow the recreational vehicle market along with it. Taiga Motors has spent the last decade building out production capacity to deliver fully electric snowmobiles and Jet Ski-like personal watercraft that they believe can go toe-to-toe with gas-powered alternatives. As with electric cars, the ride is designed to feel smoother, faster, and whisper-quiet, filling an unaddressed niche in the motor sports vehicle category. “If you’re on the water, all you hear is the wind and the waves. And if you’re on the snow, you hardly hear anything—just that track spinning through the snow at incredible speeds,” says Taiga Motors cofounder and CEO Sam Bruneau. The company itself, however, has had anything but a smooth journey. After riding the wave of the SPAC boom in 2021—when hundreds of companies went public by merging with publicly listed shell companies, bypassing the traditional IPO process—which put its value into the hundreds of millions of dollars, pandemic-related manufacturing delays pushed it to the cliff’s edge. Taiga has been only able to traverse the many economic and technical rough patches it’s faced, according to Bruneau, because the market is so eager for a smoother, quieter, and cleaner alternative to the noisy, polluting, gas-guzzling recreational vehicles on the snow and water today. Silent Engine, Invisible Barriers By designing their snowmobiles and watercraft from scratch, the company is able to introduce a few game-changing features that make the ride not only smoother, but also safer and more accessible. For example, they can be monitored by a mobile app that allows owners and fleet operators to manage battery life, set speed limits, and map out precise geographical boundaries. If riders venture beyond those invisible borders, the vehicle automatically slows to a crawl until it’s back in the designated zone. As a result, fleet operators and resort owners from the Caribbean Sea to the Italian Alps are reversing existing bans on recreational vehicles in areas that were previously too close to ecologically protected zones and heavily populated areas. “If you think of beachfronts and keeping safe distances from swimmers, or just at home, if you have a teenager that’s going out in the watercraft, [owners] can create speed-limiting zones and keep them away from dangerous areas,” Bruneau says. “If you’re a tour operator, you can do the same with your customers to prevent, for example, collisions between snowmobilers and skiers at mountain resorts.” Saving Money by Saving the Environment Taiga’s Nomad Sport edition snowmobile offers 90 horsepower, starting at about $19,000, while its Nomad Performance model offers 120 horsepower, starting at about $22,000. Both offer 62 miles of range and can be recharged using conventional home or public EV-charging stations. Gas-powered alternatives, by comparison, typically range from about $12,000 to $22,000, putting Taiga’s electric offering on par with other premium products in the category. “There’s also major cost savings in these vehicles on fuel and maintenance,” Bruneau says. “We work with over 100 ski resorts around the world, and they’ll break even compared to lower-cost gas models within two years—so they’re saving several thousands of dollars by switching to electric.” Given the long-term cost savings potential for vehicles that are in heavy use, the company has unsurprisingly found a bigger market among resorts and tour operators than individual customers. One of those tour operators, based in the Italian Alps, recently partnered with Uber to offer snowmobile rides between venues during the recent Olympic Games in Cortina, including an electric snowmobile option that features Taiga’s products. “It’s pretty cool, and something that we want to explore and maybe replicate in other areas, because part of our mission is to make snowmobiles more accessible,” Bruneau says. Small Vehicles, Large Footprint Though recreational products represent a small fraction of the overall vehicle market, the smaller scale has allowed the industry to avoid many of the regulations that limit vehicle emissions. As a result, some snowmobiles and recreational watercraft engines spew up to 40 times more pollutants than the average gas-powered car, according to some estimates, and those pollutants often go directly into waterways and groundwater deposits. “A big ski resort with a tour operation might have 200 snowmobiles operating all winter-round, which is [the same emissions as] 8,000 cars operating day in and day out,” Bruneau says. “To electrify 8,000 cars in one town is a pretty ambitious mandate. To electrify 200 snowmobiles that you’ll save money on and provide a better user and guest experience is a lot easier.” Taiga has also introduced three electric watercraft, which start at about $21,000. Its highest-end model, the limited-edition Orca Carbon, features 160 horsepower, with two hours of run time on a single charge. Its price starts at about $26,000. All of the company’s products also feature bidirectional charging, meaning that its high-capacity battery packs can sell unused energy back to the grid. “We’re going to soon have a standard outlet on the vehicle so you can plug in any appliance,” Bruneau says. “That’s a pretty big game changer, especially for the snowmobile, because you suddenly have this large mobile battery pack that you can drive into the mountains or a cottage—even [use for] backup power for your house—without needing a gas generator.” Stalling Out Bruneau and two McGill University classmates, Paul Achard and Gabriel Bernatchez, founded Taiga in 2015 and modeled it after Tesla—which didn’t just replace the combustion engine, but reinvented vehicle manufacturing from the ground up. “It’s a lot of extra front-end work,” Bruneau says. “But there’s a bigger payoff in the long term if you can vertically integrate, develop everything from a clean sheet to really offer the best performance at the best cost, and be built out efficiently at scale.” After designing and building a prototype electric snowmobile from their shared Montreal apartment and hauling it to ski resorts around North America in a rented pickup truck, the cofounders secured their first orders and set up production in Quebec. As it gained momentum, Taiga was approached by a special purpose acquisition company (SPAC) that offered to take the company public in 2021, which put its market capitalization at more than $350 million. “We hit some supply chain disruptions right after going public,” Bruneau says. “We were working with some big automotive suppliers for some of our key chips, and we just got a call one day saying: ‘Hey, Ford is taking these, because you can’t really compete with [their volume], and we had to adapt.’” In the ensuing years, consumer spending on both electric vehicles and recreational vehicles went downhill: Brands like Yamaha exited the snowmobile market entirely, and automakers like GM and Ford have since watered down their prior EV commitments. In early 2024, Taiga was forced to cut all but 70 of its staff—down from a peak of about 300—and file for creditor protection, leaving its early investors and deposit-paying customers in the lurch. In October of that year, the brand was pulled from the brink by British electric boat entrepreneur and investor Stewart Wilkinson. “In the startup and EV hardware space, a lot of it is just about timing, persistence, and the perseverance to weather any storm,” Bruneau says. “If you can build the best product that people really want, you’ll be able to shift the market eventually.” View the full article

Meetings look neutral on the calendar. Everyone’s calendar is stamped with the same blue 30-minute block. Everyone gets a seat at the table, and—supposedly—the same shot to contribute. But the moment you click “Join,” the pecking order kicks in. Meetings are where power is put on display, credit is scooped up, and the rules of who speaks and who doesn’t are enforced. If you want to understand how inequality festers inside an organization, start watching what happens in your meetings. At a time when women’s representation in the workplace has stagnated and their presence in senior leadership positions is slipping, we need to look closer at the everyday behaviors that keep the deck stacked. Meetings are one of the biggest offenders. They impose hidden taxes on women that chip away at influence, visibility, and career advancement. 1. The labor tax: Who gets stuck with the grunt work? Someone has to do the grunt work that keeps meetings running: book the room, chase down agenda items, take notes, and send the recap. It’s important work. It’s also often low-status, mostly invisible, and rarely rewarded. It probably won’t get you promoted or make you look strategic. Too often, women are the ones expected to pick it up. Research shows that in mixed-gender groups, women volunteered for these “non-promotable tasks” 48% more often than men. But in single-gender groups, the gap disappeared, and men and women volunteered at equal rates. It’s not that women are drawn to grunt work. It’s that the expectation kicks in when men are in the room. Every time a woman takes notes or sends the follow-up, she’s doing the work that keeps the meeting on track while someone else gets the airtime, the visibility, and the career upside. That’s the labor tax: invisible, unpaid, and piling up throughout a woman’s career. 2. The visibility tax: Who gets seen as a leader? Meetings have a nasty habit of confusing airtime with leadership. Researchers call it the Babble Hypothesis. One study found that for every additional 39 seconds of speaking, the speaker earned an extra “vote” as the group’s leader. Men got a bonus just for being male—roughly one additional vote. But the problem goes beyond hogging airtime. Women get interrupted, talked over, or ignored. Men interrupt 33% more often when speaking with a woman than with another man. Even female Supreme Court justices are three times more likely to be interrupted by their male colleagues. And when women do break through, their ideas can get repackaged and credited to someone else, a move so common it has its own name: bro-propriation. Women aren’t just fighting to get a word in. They’re fighting to keep what they said from being claimed by whoever says it louder, says it later, or simply has more status in the room. 3. The cognitive tax: Who leaves the meeting depleted? Women walk a tightrope in meetings: be confident, but not too confident. Assertive, but not abrasive. Warm, but still authoritative. For women, every meeting comes loaded with mental gymnastics. How direct can I be? Should I push back? Am I being ignored, or should I say it again? They’re not just doing the work of the meeting. They’re managing tone, reading power dynamics, and dodging penalties. That double duty drains the attention and energy that should go to the real work. Virtual meetings add to the cognitive tax. Women are more than twice as likely to experience Zoom fatigue. One of the biggest culprits is what researchers call “mirror anxiety,” or the strain of staring at your own face on screen. For many women, who are more likely to be judged on how they look than on what they say, they’re not showing up to one meeting. They’re showing up to two: one with their colleagues, and one with their own hypercritical reflection. Stop taxing women for bad meeting design The lazy “solution” is to shove the burden back on women. Speak up more. Push back when interrupted. Claim your ideas. But that doesn’t fix the meeting. It just makes women work harder inside a broken one. The better answer is to redesign the meeting itself. Start by cutting the number of meetings. Executives say that nearly half could be eliminated with no negative consequences. Every unnecessary meeting is another chance for women to get stuck taking notes, get interrupted, or burn through another hour of Zoom fatigue. Fewer meetings mean fewer opportunities for the taxes to pile up. For the meetings that survive, fix what they reward. Build more written and asynchronous communication into your communication system. Jeff Bezos banned PowerPoint from Amazon’s senior leadership meetings and replaced decks with six-page memos read silently before discussion. A big motivation was to curb sloppy thinking. He once said, “There is no way to write a six-page, narratively structured memo and not have clear thinking.” A strong writing culture also neutralizes the fastest talkers and the smoothest ones. Too many meetings reward speed, charisma, and volume. Better ones reward preparation, idea quality, and clarity. Then look hard at who is doing the invisible work. Stop asking for volunteers. Women are more likely than men to step forward and pick up the grunt work, especially in mixed-gender groups. Rotate the invisible work instead. And recognize and reward it. Work that your organization can’t function without shouldn’t come with a career penalty. Finally, consider who gets the airtime in your meetings. Most meetings have an informal pecking order that settles within the first few minutes: who sits at the head of the table, who speaks first, who gets eye contact from the leader, who gets asked for input. Invite women to speak first. Go around the room so contributions aren’t driven by confidence or status. Encourage the meeting leader to name the source of ideas in real time (“That builds on Sarah’s point from earlier”). When credit is claimed out loud and in the moment, it’s less likely to drift toward the highest-status person in the room. And try leveraging AI to monitor airtime, not as surveillance, but as a learning tool. When teams understand who’s gobbling up airtime and who isn’t, the patterns become harder to ignore and harder to excuse. Remember, your meetings aren’t neutral. Until leaders stop assuming their meetings are fair, women will keep paying the tax—and your organization will pay for it, too. View the full article

With the high career costs associated with motherhood, and in a challenging economy, more young women are choosing to put work ahead of love and family. According to a recent survey of 1,000 American working mothers by online resume builder Zety, 76% have been explicitly advised to delay having children until they’re more established in their careers, and 57% postponed motherhood for that reason. “I hate that advice, because we should be living in a world where no matter what you’re doing outside of work, you should be able to achieve your career goals,” says Zety career expert Jasmine Escalera. “Yes, it is sound advice, but it’s advice people feel they need to give because of the work culture we have here in the United States.” The study found that working moms face a slew of career challenges that prevent them from achieving their career potential while starting a family. For example, 84% said their pregnancy was seen as an inconvenience at work, and 81% were asked to return from maternity leave early. The vast majority, 87%, say that becoming a mother negatively impacted their careers. Furthermore, 59% say it altered their career path and 31% say it inspired them to find a job with more flexibility or reduced hours. Half also chose not to have more than one child due to the work challenges they confronted having their first, and another 37% delayed having more children for the same reason. “For women in particular, becoming pregnant, having children, starting a family significantly negatively impacts their careers,” Escalera says. “The data we saw was incredibly staggering in terms of how women are implicitly—and in many cases explicitly—being told that being a mom is going to negatively impact them in the workplace, and they have to choose one.” A Clear Choice for Most Young Women For as long as women have been in the workforce, they’ve been told they can’t “have it all,” and need to choose between career and family. Gen Z, however, may be the first to come to a broad consensus, with the majority picking economic independence over love, marriage and parenthood. In a recent survey of 2,000 women aged 20 to 28 by essay writing service EduBirdie, 59% ranked professional and financial success ahead of finding love and starting a family. Furthermore, 88% of respondents considered themselves ambitious, and 25% believed they had to choose between their professional ambitions and love life. Overall, 30% said they either didn’t want kids in the future or weren’t sure. “This generation does not pursue family as the main goal, but sees the financial aspect and their career as the first step towards settling down and starting a family,” says EduBirdie data lead Ksenia Hubska. “These young women have the choice, and they decide to focus on their careers first, and only if they feel financially secure do they think about starting families.” Hubska explains that in today’s world—and economy—financial independence is a key consideration for young women. “They don’t co-depend, they’re not looking for a husband that takes care of them and their kids,” she says. “It’s about me creating my own life with a partner who has their own life.” More Anxieties, and Options Young women are struggling to establish their careers in a challenging job market and are concerned that their love or family lives could exacerbate that challenge, with 48% citing financial stress as a major concern. However, many are also choosing to delay starting a family because they have options that didn’t exist for women of prior generations, with advancements in fertility treatment enabling them to hit snooze on the biological clock. According to the survey 11% have or plan to freeze their eggs, and another 20% are saving up to do so. “It’s genius, if you ask me,” says Hubska. “I never thought of it as an option at that age, but now girls are saving for it.” Hubska explains that many Gen Z women grew up watching their mothers struggle to balance their careers and caregiving responsibilities. As they enter adulthood, many are looking for an alternative that doesn’t rely on others. In fact, 71% of respondents admitted to judging those who rely on others for financial support, and a third said they would not ask a loved one for financial assistance during an emergency. “It’s a different approach to the same challenge, and a more creative one,” Hubska says. “It’s about financial independence, which they value a lot.” American women face more obstacles America may be the world’s biggest economy, but it’s trailing peer nations when it comes to extending those opportunities to female workers—especially those that want to start a family. In a global ranking of 16 advanced economies conducted by gender equality data provider Equileap—which analyzes gender-related policies at nearly 3,400 public companies with revenues over $2 billion—the United States placed second last, ahead of only Japan. The study evaluated companies across 21 gender equity indicators, including gender balance at various levels of leadership, the gender pay gap, freedom from abuse and sexual harassment, flexibility and parental leave policies. In 2023, the United States had 17 companies featured in the annual ranking’s top 100. Last year, the country had just 11 top 100 honorees. Now there are just 7 spots occupied by American brands. “There are two reasons; one is that the threshold to make the top 100 list has gone up,” says the report’s co-author and the corporate communication and insights manager for Equileap parent company Denominator, Clara Sánchez. “But also, because U.S. companies are decreasing their gender equality scores.” The top ranked country in 2026 was Spain, whose companies averaged a score of 60 out of 100, followed by France at 59, with Italy and Norway tying for third at 58. American businesses, meanwhile, achieved an average score of 45, down from 44 in 2025. “We talk about the leaking pipeline, and we see at different layers in the workplace,” Sánchez says. “In the U.S. 32% of workers are women, but just 25% are executives, and the research says that maternity leave makes a big impact.” The lack of women in executive leadership in the United States, the gender wage gap, the lack of paid maternity leave and the career penalties that come with starting a family has broader implications. According to a study conducted by Denominator, companies that provide at least 14 weeks of paid maternity leave generate 21% higher revenues, have 13% higher market capitalizations, and earn 9% greater net incomes. “In a country like the U.S., where there’s no statutory parental leave, and where job security is not guaranteed by the state,” says Sánchez, “I’m not surprised that women are thinking twice [about motherhood].” View the full article

Voice of the Customer (VoC) analysis is a method for gathering and interpreting customer feedback from various channels, like surveys and social media. It transforms this feedback into useful insights that can drive product and service improvements. Comprehending VoC is crucial, as it helps businesses align their offerings with customer expectations, enhancing satisfaction and loyalty. As you explore this topic, you’ll discover key strategies for implementing effective VoC programs and the impact they can have on business success. Key Takeaways Voice of the Customer (VoC) analysis captures and transforms customer feedback into actionable insights for product and service enhancements. It helps businesses identify customer pain points, aligning offerings with expectations to boost satisfaction and retention. VoC programs can lead to significant improvements in customer retention, with studies showing up to a 55% increase. Utilizing structured surveys and sentiment analysis tools allows for effective data collection and interpretation of customer sentiments. Proactively addressing customer feedback can reduce complaints by up to 30%, enhancing overall customer satisfaction and loyalty. Understanding Voice of the Customer Analysis Voice of the Customer (VoC) analysis is a crucial process that helps organizations grasp customer feedback from various interactions, such as surveys, interviews, and social media. This analysis encompasses diverse data sources, transforming unstructured input into actionable insights that improve products and services. By utilizing voice of customer analytics, businesses gain a thorough view of customer sentiments and experiences, allowing them to identify pain points effectively. Systematically collecting voice of customer feedback enables organizations to prioritize improvements that greatly impact the customer experience. The insights derived from VoC analysis play a critical role in boosting customer satisfaction, loyalty, and retention. Companies that implement effective VoC programs often witness a 55% boost in customer retention and experience faster revenue growth. The Importance of Customer Feedback Customer feedback is crucial for making informed business decisions and identifying areas for improvement. By actively seeking input from your clients, you can uncover valuable insights that drive advancements in your products and services. This process not merely boosts customer satisfaction but likewise helps you stay competitive in a swiftly changing market. Enhancing Business Decisions Effective business decisions hinge on comprehension of what customers truly want, which is where customer feedback comes into play. By utilizing VoC analytics and voice of customer metrics, you can capture valuable insights that reveal customer sentiments and expectations. This data helps align your product and service offerings with what your customers desire, leading to improved satisfaction. Companies that act on this feedback often experience a 55% boost in customer retention, as engaged customers feel valued. Additionally, integrating these insights improves customer satisfaction scores (CSAT) and drives higher sales and profitability. By addressing root causes of customer pain points, you can proactively mitigate issues that might lead to churn, eventually accelerating your revenue growth. Identifying Improvement Opportunities Although businesses often rely on their internal assessments to gauge performance, tapping into customer feedback is crucial for pinpointing improvement opportunities. Voice of the customer analysis (VoC) reveals pain points and areas where your products or services fall short, enabling you to prioritize upgrades effectively. Companies that actively seek and act on VOC feedback can see a retention boost of up to 55%, highlighting the significance of customer insights on loyalty. This analysis uncovers hidden friction points that traditional methods might miss, allowing for thorough improvements. By systematically tracking sentiment shifts over time, you can adapt your strategies to meet evolving customer needs, eventually driving satisfaction and revenue growth when you leverage VoC data effectively. How VoC Enhances Customer Experience Grasping customer feedback is essential for any business aiming to improve its customer experience. By implementing a robust voice of the customer program, you can effectively capture insights across various channels. This feedback helps you identify pain points and prioritize high-impact improvements, such as user interface upgrades that directly influence customer satisfaction and loyalty. Companies that actively use VoC metrics, like Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT), can track improvements over time, nurturing long-term loyalty among customers. Strong VoC programs have been linked to significant increases in customer retention and faster revenue growth, highlighting the importance of acting on customer insights. Additionally, by comprehending what your customers value most, you can tailor your products and services, finally resulting in higher satisfaction scores and a better overall experience for your clientele. Key Methods for Collecting VoC Data To effectively collect Voice of the Customer (VoC) data, you can utilize a mix of structured surveys and unstructured insights. Effective survey techniques, like NPS and CSAT, help you gather quantitative feedback, whereas analyzing unstructured insights from social media and customer conversations can reveal deeper customer sentiments. Effective Survey Techniques Collecting Voice of the Customer (VoC) data effectively hinges on employing the right survey techniques that provide meaningful insights into customer experiences. Utilizing various voice of customer methods is vital; for instance, post-interaction surveys can gauge satisfaction immediately after customer service engagements. A balanced mix of closed-ended questions, like Net Promoter Score, and open-ended questions can yield both quantitative metrics and qualitative insights. Consider implementing mobile-friendly surveys, as over 50% of responses come from mobile devices. Keep surveys short, ideally 5-10 questions, to avoid respondent fatigue. Moreover, leveraging voice of the customer software and social media listening tools enables you to capture unsolicited feedback and real-time sentiments, offering a thorough view of customer experiences beyond formal surveys. Analyzing Unstructured Insights Though traditional surveys provide valuable data, analyzing unstructured insights is crucial for gaining a deeper comprehension of customer sentiments. By collecting qualitative feedback from sources like open-ended survey responses, social media comments, and call transcripts, you can capture the true emotions of your customers. Techniques such as sentiment analysis and text analytics help identify common themes and emotional tones within this unstructured data, revealing pain points and expectations more thoroughly. Voice of customer tools, including social listening platforms, enable real-time monitoring of opinions across various channels. Furthermore, customer interviews and focus groups gather rich qualitative insights that structured surveys might overlook. Integrating findings from both structured and unstructured VoC data allows you to improve your products and services effectively. Analyzing Customer Sentiment Comprehending customer sentiment is crucial for businesses aiming to improve their service and products. Analyzing customer sentiment involves evaluating feedback to gauge the emotional tone of interactions. This data can be classified as positive, negative, or neutral, providing insights into overall customer satisfaction. By employing sentiment analysis tools that utilize Natural Language Processing (NLP), companies can identify patterns in customer emotions over time. Here’s a quick overview of key aspects of sentiment analysis: Aspect Description Impact Definition Evaluates emotional tone of customer feedback Guides service improvements Tools Used Natural Language Processing (NLP) Detects sentiment patterns Key Metrics Net Promoter Score (NPS), Customer Satisfaction Score (CSAT) Correlates feelings with loyalty Benefits Increases customer satisfaction by addressing concerns Reduces churn by up to 15% Strategy Integration Aligns with voice of the customer strategy Improves overall customer experience Identifying Customer Needs and Pain Points To improve customer satisfaction and loyalty, identifying their needs and pain points is key. Utilizing voice of customer techniques like surveys, interviews, and social media feedback, you can systematically gather insights about customer experiences and expectations. This approach reveals common themes and recurring issues, enabling you to prioritize improvements based on what matters most to your customers. The benefits of voice of customer analysis are significant; a well-executed program can lead to a 55% increase in customer retention by addressing the main frustrations your customers face. By conducting effective customer needs assessments, you can pinpoint key product attributes that boost satisfaction and align your offerings with customer expectations. Additionally, incorporating sentiment analysis tools allows you to quantify customer emotions, providing a deeper comprehension of how these pain points impact loyalty and retention. The Role of VoC in Brand Loyalty Brand loyalty emerges from a deep comprehension of customer experiences and expectations, which is precisely where Voice of the Customer (VoC) analysis comes into play. A well-structured VoC program captures valuable feedback, allowing you to address concerns effectively, which can lead to a remarkable 55% increase in retention rates. When you actively engage in VoC initiatives, you demonstrate responsiveness to customer needs, thereby enhancing trust and increasing repeat business likelihood. Using voice of customer management software, you can systematically analyze insights that reveal pain points in the customer experience, reducing churn rates and nurturing a more loyal customer base over time. Organizations that act on these insights often see improved Net Promoter Scores (NPS), indicating customers are more likely to recommend your brand. By cultivating brand advocates through effective VoC strategies, you set the stage for accelerated revenue growth, as satisfied customers are enthusiastic to promote your brand within their networks. Measuring the Impact of VoC Programs When businesses implement Voice of the Customer (VoC) programs effectively, they can quantify the direct impact on customer loyalty and retention. By addressing customer feedback, organizations can achieve a 55% increase in retention rates. Engaged customers, who feel their voices are heard, are more likely to renew and even expand their business relationships, leading to faster revenue growth. Integrating VoC analysis with metrics like Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT) allows you to measure improvements more accurately. Prioritizing high-impact areas, such as user interface advancements, can considerably reduce customer churn rates. Furthermore, leveraging voice of customer research helps proactively address pain points, resulting in up to a 30% reduction in complaints. In the end, these measures can boost your VoC sales, showcasing the tangible benefits of implementing well-structured VoC programs in your organization. Challenges in Implementing VoC Analysis Implementing Voice of the Customer (VoC) analysis presents several challenges, including data fragmentation issues and budget constraints. You might find that different departments within your organization collect and store customer feedback separately, making it hard to get a thorough view of customer sentiment. Furthermore, limited budgets can restrict your ability to gather extensive insights, in the end hindering your VoC efforts and their effectiveness. Data Fragmentation Issues Data fragmentation poses significant challenges for organizations working to implement effective Voice of the Customer (VoC) analysis, as it complicates the process of gathering and interpreting customer feedback. When feedback comes from multiple channels without a centralized system, it becomes difficult to form a thorough view of customer sentiment. This fragmentation can lead to inconsistencies and missed actionable insights in your voice of client management program. To tackle these issues, you need to implement centralized systems that aggregate feedback from various sources. Challenge Solution Disparate data sources Centralized feedback systems Lack of visibility Cross-departmental collaboration Inconsistent insights Unified data analysis Poor metric tracking Effective VoC tools Budget Constraints Challenges Budget constraints greatly impact organizations aiming to implement effective Voice of the Customer (VoC) analysis. Limited budgets can restrict the scope of VoC programs, making it tough to collect and analyze data across all customer touchpoints. You might find it challenging to allocate resources for advanced analytics tools, which are essential for interpreting customer feedback accurately. As a result, relying on outdated voice of the customer tools can lead to incomplete data, ultimately hindering your ability to derive actionable insights. Financial constraints often push companies to prioritize short-term gains over long-term VoC initiatives, which can undermine customer satisfaction and loyalty. To address these challenges, consider leveraging existing resources, such as low-cost survey tools, and focus on high-impact areas for improvement based on prioritized customer feedback. Best Practices for Effective VoC Programs A robust Voice of the Customer (VoC) program is essential for organizations looking to improve customer experience and drive business success. To implement effective VoC programs, you should utilize multiple feedback channels, such as surveys, social media, and customer interviews, to gather both quantitative and qualitative insights. Establish a structured voice of the customer framework that follows the Listen → Act → Analyze cycle, guaranteeing feedback is collected, acted upon, and analyzed for strategic improvements. Prioritize insights based on their impact on customer satisfaction and business goals, focusing on issues causing friction for many customers. Use data visualization tools to present VoC findings in an accessible format, helping teams identify trends and prioritize actions. Finally, secure cross-departmental collaboration by sharing VoC insights across teams, preventing data silos and promoting a company-wide commitment to addressing customer needs. These voice of the customer solutions will improve your organization’s overall effectiveness. Integrating Voc Insights Into Business Strategy Voice of the Customer (VoC) insights play a pivotal role in shaping business strategies that truly resonate with customers. By integrating these insights, you can align your products and services with customer needs, potentially increasing retention by 55% and driving revenue growth. VoC insights help you prioritize improvements that matter most, ensuring you tackle high-impact areas effectively and reduce churn risk. Regularly acting on feedback cultivates a culture of responsiveness, elevating trust and loyalty as customers witness their input leading to real changes. Companies utilizing a voice of client management platform often see improved customer satisfaction scores, with direct links between actionable insights and higher Net Promoter Scores (NPS). A structured VoC program promotes cross-departmental collaboration, ensuring feedback insights are shared across teams for a cohesive customer experience. Benefit Impact on Business VoC Integration Method Increased Customer Retention Up to 55% Regular feedback analysis Reduced Churn Risk Focus on high-impact areas Prioritization of improvements Enhanced Customer Satisfaction Higher NPS Cross-departmental sharing Future Trends in Voice of the Customer Analysis As organizations look to the future, the evolution of Voice of the Customer (VoC) analysis is set to transform how businesses engage with their customers. AI-driven tools will enable real-time feedback gathering, improving service delivery and customer experiences. By 2025, significant growth in automated feedback mechanisms will likely replace traditional surveys, giving companies a competitive edge. Innovative methods like social listening and sentiment analysis will help capture unfiltered customer opinions, leading to personalized interactions. Advanced data analytics capabilities, such as Natural Language Processing (NLP), will allow businesses to explore deeper into customer sentiment, providing a more nuanced comprehension of needs and preferences. As organizations implement a thorough voice of customer framework, they’ll establish voice of customer benchmarks that reflect evolving customer expectations. This emphasis on customer-centric approaches will drive market share growth, ensuring businesses adapt to changing behaviors effectively. Case Studies Demonstrating VoC Success Organizations that effectively implement Voice of the Customer (VoC) analysis can see substantial improvements in customer satisfaction and retention. Here are some case studies that illustrate VoC’s impact: A retail chain reduced checkout times with mobile options, boosting customer satisfaction scores by 25%. An Samsung manufacturer redesigned a product feature based on VoC insights, achieving a 15% reduction in customer churn rates. A telecom company improved response times for inquiries using VoC data, decreasing complaints by 30%. A hotel chain improved guest experiences through service enhancements driven by VoC feedback, leading to higher retention rates. An online retailer addressed shipping complaints highlighted in customer feedback, resulting in increased repeat purchases. These examples show how comprehending the voice of the customer defined through effective voice of client management software can lead to tangible business success. Frequently Asked Questions What Is Voice of Customer Analysis? Voice of Customer analysis is the process of gathering and interpreting customer feedback to gain insights into their experiences and expectations. You collect data from various sources, like surveys and social media, to understand customer opinions better. This analysis helps identify pain points and areas needing improvement, guiding business decisions effectively. Why Is the Voice of the Customer Important? The voice of the customer is essential as it provides direct insights into customer preferences and pain points. By actively listening to feedback, you can address issues before they escalate, improving customer satisfaction and loyalty. This proactive approach not only increases retention rates but also informs product and service improvements. Moreover, integrating these insights into your decision-making cultivates a culture of continuous improvement, ensuring your business remains competitive and aligned with customer expectations. Why Is Customer Analysis Important? Customer analysis is essential for improving satisfaction and loyalty. By comprehending customer needs and behaviors, you can make informed decisions that elevate products and services. It helps you identify pain points and key attributes that matter to buyers, ensuring your offerings align with market demands. Effective analysis additionally supports targeted customer experience improvements, leading to better retention and a competitive advantage. In the end, it drives growth by adapting to evolving customer expectations and preferences. What Is the Voice of the Customer Analyst? A Voice of the Customer Analyst collects and interprets customer feedback to improve products and services. You utilize surveys, interviews, and social media to gather valuable insights about customer experiences. Conclusion In summary, Voice of the Customer analysis is crucial for grasping customer needs and experiences. By systematically capturing feedback, you can identify pain points and improve offerings, leading to higher satisfaction and loyalty. Implementing effective VoC programs involves diverse data collection methods and thorough sentiment analysis. Integrating these insights into your business strategy not merely boosts customer experience but also drives revenue growth. As trends evolve, staying updated on VoC practices can guarantee your business remains competitive and responsive to customer expectations. Image via Google Gemini and ArtSmart This article, "What Is Voice of the Customer Analysis and Why It Matters?" was first published on Small Business Trends View the full article

Voice of the Customer (VoC) analysis is a method for gathering and interpreting customer feedback from various channels, like surveys and social media. It transforms this feedback into useful insights that can drive product and service improvements. Comprehending VoC is crucial, as it helps businesses align their offerings with customer expectations, enhancing satisfaction and loyalty. As you explore this topic, you’ll discover key strategies for implementing effective VoC programs and the impact they can have on business success. Key Takeaways Voice of the Customer (VoC) analysis captures and transforms customer feedback into actionable insights for product and service enhancements. It helps businesses identify customer pain points, aligning offerings with expectations to boost satisfaction and retention. VoC programs can lead to significant improvements in customer retention, with studies showing up to a 55% increase. Utilizing structured surveys and sentiment analysis tools allows for effective data collection and interpretation of customer sentiments. Proactively addressing customer feedback can reduce complaints by up to 30%, enhancing overall customer satisfaction and loyalty. Understanding Voice of the Customer Analysis Voice of the Customer (VoC) analysis is a crucial process that helps organizations grasp customer feedback from various interactions, such as surveys, interviews, and social media. This analysis encompasses diverse data sources, transforming unstructured input into actionable insights that improve products and services. By utilizing voice of customer analytics, businesses gain a thorough view of customer sentiments and experiences, allowing them to identify pain points effectively. Systematically collecting voice of customer feedback enables organizations to prioritize improvements that greatly impact the customer experience. The insights derived from VoC analysis play a critical role in boosting customer satisfaction, loyalty, and retention. Companies that implement effective VoC programs often witness a 55% boost in customer retention and experience faster revenue growth. The Importance of Customer Feedback Customer feedback is crucial for making informed business decisions and identifying areas for improvement. By actively seeking input from your clients, you can uncover valuable insights that drive advancements in your products and services. This process not merely boosts customer satisfaction but likewise helps you stay competitive in a swiftly changing market. Enhancing Business Decisions Effective business decisions hinge on comprehension of what customers truly want, which is where customer feedback comes into play. By utilizing VoC analytics and voice of customer metrics, you can capture valuable insights that reveal customer sentiments and expectations. This data helps align your product and service offerings with what your customers desire, leading to improved satisfaction. Companies that act on this feedback often experience a 55% boost in customer retention, as engaged customers feel valued. Additionally, integrating these insights improves customer satisfaction scores (CSAT) and drives higher sales and profitability. By addressing root causes of customer pain points, you can proactively mitigate issues that might lead to churn, eventually accelerating your revenue growth. Identifying Improvement Opportunities Although businesses often rely on their internal assessments to gauge performance, tapping into customer feedback is crucial for pinpointing improvement opportunities. Voice of the customer analysis (VoC) reveals pain points and areas where your products or services fall short, enabling you to prioritize upgrades effectively. Companies that actively seek and act on VOC feedback can see a retention boost of up to 55%, highlighting the significance of customer insights on loyalty. This analysis uncovers hidden friction points that traditional methods might miss, allowing for thorough improvements. By systematically tracking sentiment shifts over time, you can adapt your strategies to meet evolving customer needs, eventually driving satisfaction and revenue growth when you leverage VoC data effectively. How VoC Enhances Customer Experience Grasping customer feedback is essential for any business aiming to improve its customer experience. By implementing a robust voice of the customer program, you can effectively capture insights across various channels. This feedback helps you identify pain points and prioritize high-impact improvements, such as user interface upgrades that directly influence customer satisfaction and loyalty. Companies that actively use VoC metrics, like Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT), can track improvements over time, nurturing long-term loyalty among customers. Strong VoC programs have been linked to significant increases in customer retention and faster revenue growth, highlighting the importance of acting on customer insights. Additionally, by comprehending what your customers value most, you can tailor your products and services, finally resulting in higher satisfaction scores and a better overall experience for your clientele. Key Methods for Collecting VoC Data To effectively collect Voice of the Customer (VoC) data, you can utilize a mix of structured surveys and unstructured insights. Effective survey techniques, like NPS and CSAT, help you gather quantitative feedback, whereas analyzing unstructured insights from social media and customer conversations can reveal deeper customer sentiments. Effective Survey Techniques Collecting Voice of the Customer (VoC) data effectively hinges on employing the right survey techniques that provide meaningful insights into customer experiences. Utilizing various voice of customer methods is vital; for instance, post-interaction surveys can gauge satisfaction immediately after customer service engagements. A balanced mix of closed-ended questions, like Net Promoter Score, and open-ended questions can yield both quantitative metrics and qualitative insights. Consider implementing mobile-friendly surveys, as over 50% of responses come from mobile devices. Keep surveys short, ideally 5-10 questions, to avoid respondent fatigue. Moreover, leveraging voice of the customer software and social media listening tools enables you to capture unsolicited feedback and real-time sentiments, offering a thorough view of customer experiences beyond formal surveys. Analyzing Unstructured Insights Though traditional surveys provide valuable data, analyzing unstructured insights is crucial for gaining a deeper comprehension of customer sentiments. By collecting qualitative feedback from sources like open-ended survey responses, social media comments, and call transcripts, you can capture the true emotions of your customers. Techniques such as sentiment analysis and text analytics help identify common themes and emotional tones within this unstructured data, revealing pain points and expectations more thoroughly. Voice of customer tools, including social listening platforms, enable real-time monitoring of opinions across various channels. Furthermore, customer interviews and focus groups gather rich qualitative insights that structured surveys might overlook. Integrating findings from both structured and unstructured VoC data allows you to improve your products and services effectively. Analyzing Customer Sentiment Comprehending customer sentiment is crucial for businesses aiming to improve their service and products. Analyzing customer sentiment involves evaluating feedback to gauge the emotional tone of interactions. This data can be classified as positive, negative, or neutral, providing insights into overall customer satisfaction. By employing sentiment analysis tools that utilize Natural Language Processing (NLP), companies can identify patterns in customer emotions over time. Here’s a quick overview of key aspects of sentiment analysis: Aspect Description Impact Definition Evaluates emotional tone of customer feedback Guides service improvements Tools Used Natural Language Processing (NLP) Detects sentiment patterns Key Metrics Net Promoter Score (NPS), Customer Satisfaction Score (CSAT) Correlates feelings with loyalty Benefits Increases customer satisfaction by addressing concerns Reduces churn by up to 15% Strategy Integration Aligns with voice of the customer strategy Improves overall customer experience Identifying Customer Needs and Pain Points To improve customer satisfaction and loyalty, identifying their needs and pain points is key. Utilizing voice of customer techniques like surveys, interviews, and social media feedback, you can systematically gather insights about customer experiences and expectations. This approach reveals common themes and recurring issues, enabling you to prioritize improvements based on what matters most to your customers. The benefits of voice of customer analysis are significant; a well-executed program can lead to a 55% increase in customer retention by addressing the main frustrations your customers face. By conducting effective customer needs assessments, you can pinpoint key product attributes that boost satisfaction and align your offerings with customer expectations. Additionally, incorporating sentiment analysis tools allows you to quantify customer emotions, providing a deeper comprehension of how these pain points impact loyalty and retention. The Role of VoC in Brand Loyalty Brand loyalty emerges from a deep comprehension of customer experiences and expectations, which is precisely where Voice of the Customer (VoC) analysis comes into play. A well-structured VoC program captures valuable feedback, allowing you to address concerns effectively, which can lead to a remarkable 55% increase in retention rates. When you actively engage in VoC initiatives, you demonstrate responsiveness to customer needs, thereby enhancing trust and increasing repeat business likelihood. Using voice of customer management software, you can systematically analyze insights that reveal pain points in the customer experience, reducing churn rates and nurturing a more loyal customer base over time. Organizations that act on these insights often see improved Net Promoter Scores (NPS), indicating customers are more likely to recommend your brand. By cultivating brand advocates through effective VoC strategies, you set the stage for accelerated revenue growth, as satisfied customers are enthusiastic to promote your brand within their networks. Measuring the Impact of VoC Programs When businesses implement Voice of the Customer (VoC) programs effectively, they can quantify the direct impact on customer loyalty and retention. By addressing customer feedback, organizations can achieve a 55% increase in retention rates. Engaged customers, who feel their voices are heard, are more likely to renew and even expand their business relationships, leading to faster revenue growth. Integrating VoC analysis with metrics like Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT) allows you to measure improvements more accurately. Prioritizing high-impact areas, such as user interface advancements, can considerably reduce customer churn rates. Furthermore, leveraging voice of customer research helps proactively address pain points, resulting in up to a 30% reduction in complaints. In the end, these measures can boost your VoC sales, showcasing the tangible benefits of implementing well-structured VoC programs in your organization. Challenges in Implementing VoC Analysis Implementing Voice of the Customer (VoC) analysis presents several challenges, including data fragmentation issues and budget constraints. You might find that different departments within your organization collect and store customer feedback separately, making it hard to get a thorough view of customer sentiment. Furthermore, limited budgets can restrict your ability to gather extensive insights, in the end hindering your VoC efforts and their effectiveness. Data Fragmentation Issues Data fragmentation poses significant challenges for organizations working to implement effective Voice of the Customer (VoC) analysis, as it complicates the process of gathering and interpreting customer feedback. When feedback comes from multiple channels without a centralized system, it becomes difficult to form a thorough view of customer sentiment. This fragmentation can lead to inconsistencies and missed actionable insights in your voice of client management program. To tackle these issues, you need to implement centralized systems that aggregate feedback from various sources. Challenge Solution Disparate data sources Centralized feedback systems Lack of visibility Cross-departmental collaboration Inconsistent insights Unified data analysis Poor metric tracking Effective VoC tools Budget Constraints Challenges Budget constraints greatly impact organizations aiming to implement effective Voice of the Customer (VoC) analysis. Limited budgets can restrict the scope of VoC programs, making it tough to collect and analyze data across all customer touchpoints. You might find it challenging to allocate resources for advanced analytics tools, which are essential for interpreting customer feedback accurately. As a result, relying on outdated voice of the customer tools can lead to incomplete data, ultimately hindering your ability to derive actionable insights. Financial constraints often push companies to prioritize short-term gains over long-term VoC initiatives, which can undermine customer satisfaction and loyalty. To address these challenges, consider leveraging existing resources, such as low-cost survey tools, and focus on high-impact areas for improvement based on prioritized customer feedback. Best Practices for Effective VoC Programs A robust Voice of the Customer (VoC) program is essential for organizations looking to improve customer experience and drive business success. To implement effective VoC programs, you should utilize multiple feedback channels, such as surveys, social media, and customer interviews, to gather both quantitative and qualitative insights. Establish a structured voice of the customer framework that follows the Listen → Act → Analyze cycle, guaranteeing feedback is collected, acted upon, and analyzed for strategic improvements. Prioritize insights based on their impact on customer satisfaction and business goals, focusing on issues causing friction for many customers. Use data visualization tools to present VoC findings in an accessible format, helping teams identify trends and prioritize actions. Finally, secure cross-departmental collaboration by sharing VoC insights across teams, preventing data silos and promoting a company-wide commitment to addressing customer needs. These voice of the customer solutions will improve your organization’s overall effectiveness. Integrating Voc Insights Into Business Strategy Voice of the Customer (VoC) insights play a pivotal role in shaping business strategies that truly resonate with customers. By integrating these insights, you can align your products and services with customer needs, potentially increasing retention by 55% and driving revenue growth. VoC insights help you prioritize improvements that matter most, ensuring you tackle high-impact areas effectively and reduce churn risk. Regularly acting on feedback cultivates a culture of responsiveness, elevating trust and loyalty as customers witness their input leading to real changes. Companies utilizing a voice of client management platform often see improved customer satisfaction scores, with direct links between actionable insights and higher Net Promoter Scores (NPS). A structured VoC program promotes cross-departmental collaboration, ensuring feedback insights are shared across teams for a cohesive customer experience. Benefit Impact on Business VoC Integration Method Increased Customer Retention Up to 55% Regular feedback analysis Reduced Churn Risk Focus on high-impact areas Prioritization of improvements Enhanced Customer Satisfaction Higher NPS Cross-departmental sharing Future Trends in Voice of the Customer Analysis As organizations look to the future, the evolution of Voice of the Customer (VoC) analysis is set to transform how businesses engage with their customers. AI-driven tools will enable real-time feedback gathering, improving service delivery and customer experiences. By 2025, significant growth in automated feedback mechanisms will likely replace traditional surveys, giving companies a competitive edge. Innovative methods like social listening and sentiment analysis will help capture unfiltered customer opinions, leading to personalized interactions. Advanced data analytics capabilities, such as Natural Language Processing (NLP), will allow businesses to explore deeper into customer sentiment, providing a more nuanced comprehension of needs and preferences. As organizations implement a thorough voice of customer framework, they’ll establish voice of customer benchmarks that reflect evolving customer expectations. This emphasis on customer-centric approaches will drive market share growth, ensuring businesses adapt to changing behaviors effectively. Case Studies Demonstrating VoC Success Organizations that effectively implement Voice of the Customer (VoC) analysis can see substantial improvements in customer satisfaction and retention. Here are some case studies that illustrate VoC’s impact: A retail chain reduced checkout times with mobile options, boosting customer satisfaction scores by 25%. An Samsung manufacturer redesigned a product feature based on VoC insights, achieving a 15% reduction in customer churn rates. A telecom company improved response times for inquiries using VoC data, decreasing complaints by 30%. A hotel chain improved guest experiences through service enhancements driven by VoC feedback, leading to higher retention rates. An online retailer addressed shipping complaints highlighted in customer feedback, resulting in increased repeat purchases. These examples show how comprehending the voice of the customer defined through effective voice of client management software can lead to tangible business success. Frequently Asked Questions What Is Voice of Customer Analysis? Voice of Customer analysis is the process of gathering and interpreting customer feedback to gain insights into their experiences and expectations. You collect data from various sources, like surveys and social media, to understand customer opinions better. This analysis helps identify pain points and areas needing improvement, guiding business decisions effectively. Why Is the Voice of the Customer Important? The voice of the customer is essential as it provides direct insights into customer preferences and pain points. By actively listening to feedback, you can address issues before they escalate, improving customer satisfaction and loyalty. This proactive approach not only increases retention rates but also informs product and service improvements. Moreover, integrating these insights into your decision-making cultivates a culture of continuous improvement, ensuring your business remains competitive and aligned with customer expectations. Why Is Customer Analysis Important? Customer analysis is essential for improving satisfaction and loyalty. By comprehending customer needs and behaviors, you can make informed decisions that elevate products and services. It helps you identify pain points and key attributes that matter to buyers, ensuring your offerings align with market demands. Effective analysis additionally supports targeted customer experience improvements, leading to better retention and a competitive advantage. In the end, it drives growth by adapting to evolving customer expectations and preferences. What Is the Voice of the Customer Analyst? A Voice of the Customer Analyst collects and interprets customer feedback to improve products and services. You utilize surveys, interviews, and social media to gather valuable insights about customer experiences. Conclusion In summary, Voice of the Customer analysis is crucial for grasping customer needs and experiences. By systematically capturing feedback, you can identify pain points and improve offerings, leading to higher satisfaction and loyalty. Implementing effective VoC programs involves diverse data collection methods and thorough sentiment analysis. Integrating these insights into your business strategy not merely boosts customer experience but also drives revenue growth. As trends evolve, staying updated on VoC practices can guarantee your business remains competitive and responsive to customer expectations. Image via Google Gemini and ArtSmart This article, "What Is Voice of the Customer Analysis and Why It Matters?" was first published on Small Business Trends View the full article

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