Because metrics alone don’t solve problems. But combined, they tell a story.
Modern teams don’t need more dashboards or disconnected charts—they need clarity. Clarity about where work gets stuck, why delays happen, and how to improve delivery without guesswork.
That’s exactly what happens when you bring together three powerful but often siloed reports:
🔹 Time in Status – How long did an issue stay in each phase?
🔹 Transition Count – How many times did it bounce between statuses?
🔹 Status Entrance Date – When did it enter key stages?
Individually, these metrics offer useful signals. But together, they unlock patterns, root causes, and opportunities to streamline your workflow. Teams can spot inefficiencies, defend delivery timelines with data, and continuously improve, not just react.
In this article, we will walk through five real-world use cases where combining these insights turns routine reporting into a strategic advantage.
The Problem: Work keeps piling up in “QA” or “Review,” and no one’s sure why. You’re missing deadlines, and the backlog just keeps growing.
The Solution:
The Outcome: Stop guessing. Identify which team needs support, adjust the workload, and meet deadlines with fewer surprises.
The Problem: Customers or internal teams complain about delays, but it is unclear which part of the process is causing them.
The Solution:
The Outcome: Build trust with transparent timelines. Automate SLA audits and proactively flag at-risk tickets before escalations happen.
The Problem: Some tickets feel like they’re stuck in a Groundhog Day loop — always “In Progress” or endlessly bouncing between teams.
The Solution:
The Outcome: Uncover process friction and fix the root cause — whether it’s unclear acceptance criteria, flaky QA, or poor requirements.
The Problem: Performance conversations are often based on opinions rather than facts. One team is always blamed—fairly or not.
The Solution:
The Outcome: Lead with facts, not finger-pointing. Utilize objective data to balance workloads and enhance team collaboration.
The Problem: After an incident or delivery delay, retrospectives are vague. No one knows exactly what happened or when it occurred.
The Solution:
The Outcome: Tell the whole story—without blame. Find gaps, improve processes, and reduce future incident response time.
To bring these insights to life, you'll need tools that go beyond Jira’s built-in capabilities. For example, we use the Time in Status app by the SaaSJet team — it includes all the key reports mentioned above. Let’s walk through a few ways to generate and visualize these reports so you can start making smarter decisions with your workflow data.
First, generate a report with all the necessary settings - work items period, report period, selection of the task scopes required for the investigation, etc. And, of course, select the type of report - in the example, we started with Time in Status.
Next, be sure to save this report to a preset so that you can load the report in one click in the future.
Then create each type of report in turn and explore the data by simply switching between them in the presets.
Create a new dashboard and add a gadget from the Time in Status app to it.
Next, set up the display of the three reports mentioned above step by step.
This way, you can track the necessary metrics on a single dashboard and always stay informed about your team's performance.
Using Jira automation, you can transmit the date of the status change and record the status from which the transition took place.
You can set up such automations to track key critical statuses in your workflows. Next, use the Columns manager functionality to add these fields to the report.
Tracking Time in Status, Transition Count, and Status Entrance Dates isn’t just about metrics — it’s about visibility, accountability, and improvement. When you combine these three data points, you go beyond surface-level reporting to truly understand how work flows (or gets stuck) in your team.
With the right tools — like the Time in Status app by SaaSJet — generating these insights becomes simple and scalable. Use them to drive smarter decisions, improve delivery, and build a more predictable, high-performing workflow.
Because when your data tells a clear story, your team can write better outcomes.
Iryna Komarnitska_SaaSJet_
Product Marketer
SaaSJet
Ukraine
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