Hiring and Onboarding Remote Employees

Your network operations team escalates a P1 ticket to infrastructure. The infrastructure team lead opens it twenty minutes later and sees a ticket created that morning with three comments, none of which explain why it’s now urgent or what the network team already tried. She pings the original engineer on Slack: “What’s the actual issue here?” He’s confused; he added a detailed handoff comment before escalating the ticket. The problem? It’s in the old system. She’s looking at the new one. This happens constantly during and after tool migrations. Escalation paths exist in your documentation and your org chart, but the actual context for individual tickets disappears in…

In this guide, you’ll find everything you need to set up an integration that syncs Freshservice service requests with Jira issues through an automated flow from Unito. Since Unito is a completely customizable platform with a no-code interface, you can set up this integration without any technical resources and minimal maintenance. No need to troubleshoot complex automations or rely on expensive consultants, either. Overview Tools: Freshservice and Jira Use cases: Ticket escalation, software development, project management, AI agent integration Great for: IT teams, software developers, product owners, project managers Unito’s integration for Freshservice …

A failed product launch rarely comes from building the wrong thing. It comes from the right thing shipping while everyone else is out of position: sales unaware, marketing three days late, and support fielding questions without documentation. The feature shipped on Friday. Jira tickets closed. Engineering moved on. Monday morning, sales gets a customer question about the new feature and has no idea it exists. Marketing’s email goes out on Wednesday, announcing something customers already found on their own. Support has been improvising answers all weekend. Product launches involve multiple teams working independently on overlapping timelines. When coordination fai…

The average organization uses 106 SaaS apps, meaning work is disjointed by default. Every workflow needs to push data and work items from tool to tool to tool. This can create devastating misunderstandings and push projects past their deadlines. That’s why SaaS integration platforms are so essential. What are SaaS integration platforms? SaaS (software as a service) apps are delivered over the internet, meaning you don’t need to install them locally. SaaS integration platforms are tools that are both delivered over the internet and integrate SaaS apps. That means you can bridge the gap between the SaaS tools you rely on for day-to-day work with a similar platfor…

Four hundred support tickets last month. Twelve variations of the same feature request. Three lost deals because competitors have a capability that isn’t mentioned anywhere relevant. NPS comments mentioning the same pain point repeatedly. The PM knows about these patterns. Engineering does not. Product feedback lives in support tools, sales CRMs, feedback platforms, and survey results. Engineering work lives in Jira. The gap between where feedback arrives and where work gets done means customer voice gets lost in translation. By the time a feature request becomes a Jira ticket, the original context (the frustration, the use case, the competitive pressure) has been str…

If someone asked you, “What is project management?”, would you find it easy to answer? Of course, it’s about managing projects but what exactly does that entail? Project management is so multi-faceted that it’s not easy to explain in just a few words. Even project managers at the start of their careers tend to realize very quickly that there’s more to the role than meets the eye. In this post, we’ll share a clear definition of project management, explore the project management process, and provide actionable tips for successfully managing projects. What is a project? Think of a project as a unit of measurement for a specific amount of work. A project has …

“How’s that feature going?” “On track.” “When will it ship?” “Soon.” Neither side has numbers. Both sides leave uncertain whether they’re aligned. This conversation repeats weekly, same script, same ambiguity, same lack of shared data. Engineering has dashboards full of velocity charts, burndown graphs, and cycle time metrics. Product has roadmap views, prioritization scores, and stakeholder updates. These dashboards serve their respective teams but do nothing to create shared understanding between them. The cost of this fragmentation is $450 billion annually lost to context switching globally, much of it from people toggling between systems trying to piece togeth…

How familiar with Jira does a product manager actually need to be? The engineering team lives there. Sprint work happens there. Context lives there. But Jira was built for engineers. The interface assumes you care about workflow states, story points, and sprint velocity rather than customer problems and strategic priorities. PMs only need to know enough to communicate effectively with engineering, maintain visibility into progress, and avoid becoming a bottleneck. They don’t need to know enough to become a Jira admin. Not enough to configure workflows. Enough to participate without getting lost. This guide covers what product managers actually need to know abo…

Roadmaps speak in quarters and outcomes. Sprint boards speak in points and tickets. The gap between them is where promises die. Checkout redesign was Q2’s top priority in the roadmap. It’s not in the next three sprints. The mobile app initiative shows “In Progress” on the stakeholder deck but hasn’t been broken into epics. Enterprise features are Q4’s focus, but nobody on the engineering team seems to know about them. This disconnect isn’t a communication failure. It’s a structural problem: roadmaps and sprints operate on fundamentally different timescales with different information quality. Context switching between these altitudes costs hours. It takes 23 minute…

Sprint planning is where PM preparation either pays off or falls apart. Teams that make decisions in under an hour see a 68% success rate; those taking over five hours drop to 18%. The difference often traces back to one question: did the PM arrive prepared? The engineering lead asks which backlog items are highest priority. Two don’t have acceptance criteria. The third depends on a design that hasn’t been reviewed. Forty minutes of the session disappears into requirements discussions that should have happened days ago. For PMs, the challenge isn’t understanding agile ceremonies. It’s knowing what to contribute, what to leave alone, and how to stay informed withou…

Workflow integration software is no longer an option. It’s a necessity. The average organization used 106 SaaS apps in 2025. That means your workflows go through multiple platforms by default, with essential data scattered across them. But dig a bit beyond that number and you’ll find another story. That average actually went down — from 113 — since 2024. What does that mean? More and more organizations are realizing that just adding tools to their stack doesn’t solve all their collaboration problems. They’re trying to cut down on redundant platforms and streamline the way they work. But removing tools isn’t the only way you can do this. Workflow integration softw…

Only 6.4% of features drive 80% of user engagement. The other 93.6% represent misallocated effort, features that seemed important during prioritization but turned out not to matter. This isn’t a prioritization framework problem. Most teams have frameworks. They run RICE scoring, debate impact estimates, and leave planning sessions with clear priority orders. Three weeks later, engineering is working on something that wasn’t even in the top ten, and nobody remembers why. Prioritization frameworks solve the wrong problem. The hard part isn’t deciding what’s most important. The hard part is making those decisions persist through the chaos of execution. Priorities liv…

The backlog was supposed to be a list. One list, one tool, one source of truth. Reality diverged. Feature requests arrive through Zendesk tickets. The sales team drops customer feedback in Slack. Executives add strategic initiatives to an Asana project. Your PM tool tracks validated opportunities. The engineering backlog in Jira is supposed to reflect all of this, but it reflects whatever someone last remembered to copy over. Managing a product backlog now means consolidating input from half a dozen sources, making prioritization decisions across different contexts, and ensuring that whatever ends up in front of engineering has enough information to actually build…

Your engineer just shipped a Slack app that surfaces ServiceNow tickets in relevant channels. It took three days to build. Six months later, ServiceNow changed their API versioning structure, your Slack workspace reorganized, and the engineer who built it is on a different team. The integration still works, mostly, but no one’s entirely sure how the error handling works, and there’s a growing list of edge cases in a Notion doc somewhere. This is the moment you start looking at integration platforms. Not because you can’t build integrations, but because you’re already supporting too many of them. The conversation that follows usually splits along predictable lines.…

Microsoft Azure DevOps is a key tool for software development teams managing code changes, testing and deploying processes, reporting, and managing projects. ServiceNow is a premiere IT management platform with a wide range of use cases, but in the context of an integration with ADO, we’re going to focus exclusively on ITSM in this article. So, imagine a scenario where a customer or internal user encounters a problem with your company’s app or service. This incident is reported to the IT service desk, who creates an incident in ServiceNow. All the details are in that incident, but the dev team works in Azure DevOps to actually make changes to the app, product, or ser…

Your newest hire just sent their third Slack message in an hour. First, they couldn’t find the email template for password resets. Then they needed the escalation criteria for database issues. Now they’re asking which Jira project handles network tickets versus hardware requests. You answer each question in under a minute, but you’re also watching your own queue grow while they wait. This is day three. They completed the standard onboarding materials. They know the tools exist. They just can’t find anything when they need it. Closing a single ticket requires knowledge from systems that don’t talk to each other, and you’ve accidentally built an operation where experien…

This guide will show you how to integrate Salesforce objects and ServiceNow records. With a no-code setup and fully customizable two-way flow, Unito automatically syncs work items between Salesforce and ServiceNow so you can bridge the gap between sales teams, project managers, support teams, and more. Setting up an integration only takes minutes, and each Unito flow supports real-time updates, deep field mappings, and customizable rules. All you need is an account in Salesforce and ServiceNow with permission to create and edit records and objects. Unito’s two-way integration supports all ServiceNow records and Salesforce objects, but this walkthrough will focus on an…

You’re staring at an incident that looks familiar. The symptoms match something you saw three months ago: authentication failures cascading through the mobile app, then the web portal, then the partner integrations. You remember the pain of that incident clearly. What you can’t remember is whether you actually fixed the underlying problem or just patched the symptoms. You pull up the previous incident ticket. It shows the resolution: “Updated connection pool settings in the auth service.” But you’re looking at a Jira ticket, and the actual authentication service lives in a different team’s Azure DevOps backlog. The monitoring alerts came through PagerDuty. The custome…

How do you manage work between Jira and Smartsheet? At Unito, we often see examples of one department using one tool, while the team they work with prefers another, while neither is interested in doubling their work in multiple tools. This disrupts software development projects with lost information, siloed data, miscommunication, and sluggish collaboration. So if you’ve come here seeking help with enhanced project or task management, this Smartsheet Jira connector is your go-to solution. By the end of this article, you’ll learn how easily anyone can set up real-time task and issue syncing to boost your team’s efficiency. We’ll navigate through each Unito connector’s …

You’re staring at the escalation queue again. Same ticket, third reformat this week. Priority disappeared when it crossed from Zendesk to Jira. Custom fields such as business unit, revenue impact, compliance flags are all missing. Now you’re manually rebuilding the context your L2 team needs to route this properly, while the SLA (Service Level Agreement) clock keeps running. Your upstream team followed procedure. They documented everything in their system. But their “Critical” priority doesn’t exist in your priority schema. Their custom fields don’t map to your field structure. The ticket crossed the system boundary, and the metadata that makes escalation decisions po…

You’re three minutes into a Severity 1 incident when you realize nobody knows why the previous responder decided to restart the database cluster. The logs are scrolling, alerts are firing, and the executive team has joined the war room. Someone asks, “Did we check replication lag before the restart?” Nobody knows. The person who made that call is already troubleshooting the next failure mode, unreachable in another Slack thread. You’re holding a lit fuse with no idea how long it’s been burning. This happens because blameless culture meets its infrastructure problem during handoffs. You’ve done the postmortem training. You’ve removed “human error” from your vocabul…

Four teams. Three systems. One ticket nobody wanted to own. A customer can’t access their dashboard. Your support agent troubleshoots for twenty minutes, confirms it’s not a password issue, and escalates the ticket to engineering. Engineering sends it back: “This is a support issue.” Your agent re-escalates with more context. Engineering kicks it to DevOps. DevOps routes it to the platform team. The platform team sends it back to your queue: “Severity 3, not ours.” By the time someone actually looked at the problem, two business days had passed and your customer filed three follow-up tickets. Nobody bounced the ticket out of spite. Everyone applied their proce…

When teams track MTTR (mean time to resolution), they typically focus on technical response speed: how quickly engineers diagnose and deploy fixes. But look at actual incident timelines and you’ll find a different pattern. Delays happen while information travels between teams. Support has customer impact data trapped in tickets. Engineering has resolution context stuck in dev tools. Operations has monitoring insights isolated in observability platforms. The repair work waits on someone manually bridging these gaps. This isn’t about slow people or poor communication skills. It’s structural. Your systems don’t talk to each other, so humans become the connective tissue b…

You’ve deployed AI agents to handle first-line customer inquiries, and they’re good at what they do—when they have the information they need. But you keep seeing them escalate tickets unnecessarily, give generic responses to known customers, or miss obvious context that would let them resolve issues immediately. The frustrating part? That context exists. It’s just trapped in a different system. Your billing history lives in Stripe. Account tier and contract details sit in Salesforce. Previous support interactions are in Zendesk. Project status updates are in Jira. Your AI agent only sees what’s in front of it: typically the current support ticket and whatever standard…

You update your ServiceNow ticket with engineering notes. Then open Jira to update the corresponding ticket with the same notes. Then Slack the engineer: “Did you see the update?” Then check both systems to confirm they match. Fifteen minutes gone. Forty escalations this week mean ten hours of duplicate work. Nobody’s tracking this (no time code for “checking if systems are in sync” exists) but you’re paying for it. In time. In delays when systems drift. In errors when updates don’t match. Management sees “tickets resolved.” Doesn’t see the invisible labor creating that output. Why escalation work stays invisible to management Your time tracking shows a ticket …