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Hiring and Onboarding Remote Employees

Best practices for recruiting, hiring, and training remote employees.

 

  1. Jira is a powerhouse for software development, but it’s rarely a central tool for other teams. Stakeholders typically spend more time looking at spreadsheets or slide decks than they do Jira issues. Team leads spend just as much time in Jira as in the tools everyone else uses. Developers spend almost no time in Jira, focusing their work on coding tools and repositories like GitHub. Now imagine getting all these people to collaborate on a software development project. That’s where Jira integrations come in. They standardize data from Jira in other tools, as well as feed your Jira issues with additional context from these other platforms. Here’s why you need a J…

  2. “There has to be a better way to do this.” That frustration is at the heart of many workflows. It happens when you need to copy data from one tool into another. It happens when a deliverable you’re waiting on to start your work falls through the cracks. It happens when projects go over budget because essential tasks ended up requiring much more work than anticipated. Workflow automation won’t eliminate all that frustration, but it can make a good chunk of it disappear. Whether you’re drowning in manual data entry, constantly switching between disconnected tools, or looking to scale your team’s productivity, workflow automation can transform the way you work. T…

  3. 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.…

  4. You hired two L2 agents. Built better training documentation. Restructured your escalation tiers. Six months later, you’re staring at the same dashboard number: 28% escalation rate. Your manager wants to know why engineering is still underwater with tickets. You’ve tried everything the ITSM (IT Service Management) playbooks recommend (more people, better processes, clearer criteria) and the number hasn’t moved. Here’s what’s actually happening: You’re measuring volume and speed. You’re missing what shows where things break. Traditional escalation metrics track outcomes (how many tickets escalated, how fast they moved). But escalations fail at structural breakpoint…

  5. 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 …

  6. 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…

  7. 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…

  8. You close the ServiceNow ticket at 4:17 PM, finally. Customer issue resolved after three hours of back-and-forth, all fields updated, status set to Closed. You switch tabs to check engineering’s progress on the underlying bug in Jira. The ticket is still marked “Waiting for Support.” The last comment is from yesterday: “Need more info from customer.” You closed that loop three hours ago. Your engineering team never saw the update. Now you’re typing an explanation to the customer about why the fix took two days longer than it should have. Your support team averages four-hour resolution times. Your engineering team averages a six-hour turnaround on escalations. But …

  9. 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…

  10. Need to move data between NetSuite and Smartsheet? Maybe you have teams working primarily in Smartsheet, but need to see their work represented in NetSuite? Or is Smartsheet your reporting tool of choice for NetSuite work? In this guide, you’ll find the following four methods for connecting Smartsheet with NetSuite: Manually exporting data between Smartsheet and NetSuite Using Smartsheet Data Shuttle Using automation tools Syncing Smartsheet and NetSuite with Unito First method: Manually exporting data between Smartsheet and NetSuite Both NetSuite and Smartsheet allow users to manually export data from specific parts of their workspace or the …

  11. You’re at your desk reviewing last week’s ticket metrics, coffee cooling beside your monitor, and one number looks good: 4.5 hours average time to escalation. That means your L1 team tried everything before passing tickets up, right? Then you drill into a resolved incident. Engineering fixed it in 10 minutes. API timeout error (something they’d seen three times that day already). Your L1 agent spent 4 hours troubleshooting (restarted services, checked configurations, walked the user through cache clearing). Standard fixes for connectivity problems. Engineering recognized the pattern immediately and applied a known workaround. Where did those 4 hours create value? …

  12. Your support AI routes a high-value customer to the basic tier queue. Not because the AI is poorly trained, but because it can’t see the CRM data showing their account status. The customer waits 20 minutes for an agent who immediately needs to escalate. You check the ticket later and see what went wrong: the AI made its routing decision using only what existed in the support platform. Everything else such as the account value, the renewal date, and the previous escalations live in systems the AI couldn’t access. ChatGPT works brilliantly because you give it complete context within the conversation. You describe the problem, provide background, and clarify details in r…

  13. 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…

  14. 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 …

  15. 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…

  16. Here’s everything you need to know about setting up an integration to sync Rovo with Salesforce work items with 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: Rovo and Salesforce Use cases: AI agent integration, record syncing Great for: Project managers, IT teams, software developers. Unito’s integration for Rovo and Salesforce allows users of any technical background, from project managers to software devel…

  17. Data makes for better decisions, more effective projects, and stronger alignment across your organization. With Smartsheet as the powerhouse for that data, you get visibility on valuable work, seamless collaboration, and deep reporting. But the data you need isn’t always in Smartsheet. That’s when you need a software integration. Smartsheet offers its own integrations through Smartsheet Bridge, allowing you to bridge the gap between this essential tool and other platforms. Unito’s Smartsheet integration, meanwhile, creates a two-way flow between Smartsheet and other tools, powering smoother collaboration across tools. Here’s your guide to picking the right option …

  18. When teams use different tools, someone has to keep data consistent. In a one-way sync, changes flow from a source system to a destination. The source stays authoritative, and the destination just receives updates. Bidirectional sync works differently. Changes flow in both directions. When data is updated in System A, it’s automatically updated in System B. When someone modifies System B, the change flows back to System A. The distinction matters because modern organizations rarely have a single source of truth for everyone. Engineering works in Jira. Product management works in roadmap tools. Customer success works in CRMs. Each team needs access to shared informatio…

  19. 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…

  20. Agile methodologies assume teams have visibility into work status, priorities, and blockers. That assumption breaks down when different teams use different tools. Product management lives in one platform, engineering in another, design in a third. Each team optimized for their workflow, but the optimization created silos that agile practices struggle to bridge. The typical response is mandating a single tool. This rarely works. Teams chose their tools for reasons that don’t disappear because someone issued a policy. Engineers prefer Jira for its developer-centric features. Product managers prefer roadmap tools that think in outcomes rather than tickets. Designers need…

  21. In this guide, you’ll find everything you need to know about setting up an integration to sync Rovo with Asana using an automated flow from Unito. This integration supports Asana tasks, projects, and portfolios. Since Unito is a completely customizable platform with a no-code interface, you can set up this integration without any technical resources or extensive routine maintenance. No troubleshooting complex automations or relying on expensive consultants, either. Overview Tools: Rovo and Asana Use cases: AI agent integration, record syncing Great for: Project managers, IT teams, software developers. Unito’s integration for Rovo and Asana allows users o…

  22. Tools like Azure DevOps offer software development teams what they need to do their best work, but they rarely exist in isolation. Developers work on escalated requests from customer success agents sent from CRM tools. Team leads plan sprints based on information from project management tools, while stakeholders might want reports in spreadsheets or other tools. That’s why Azure DevOps integration is so important; it standardizes context across tools. Here’s how. What is Azure DevOps? Azure DevOps is a cloud-based platform for software development, helping software teams manage everything from planning to project management and actual code development. Teams ca…

  23. 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…

  24. 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…

  25. Not every ticket gets resolved on the first try. Difficult issues, technical questions, and situations out of your control can all lead to a ticket needing to be escalated to a leader or a completely different team. That’s why having a robust, documented ticket escalation workflow is so important. Without this workflow, every ticket has the potential to balloon into a massive, costly issue. So how do you get this workflow under control? How do you measure its effectiveness? Here’s Unito’s guide to this essential workflow. What is ticket escalation? Ticket escalation is a process through which tickets that need additional expertise or authority are routed to…





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