Your Jira team isn't slow.
It's waiting.
30–60% of every sprint is spent waiting — not coding, not reviewing, not shipping. Time in Status shows you exactly where your tickets stop moving, so you can fix the real bottlenecks.
Jira tracks everything.
But not where work actually stalls.
Standard Jira reports show you what happened. Time in Status shows
you why your delivery slows down — the invisible gaps between statuses
where tickets silently age.
Of cycle time is waiting
On average, a ticket spends more than half its life sitting in queues — not being worked on. Review queues, backlog pile-ups, approval holds.
Longer than estimated
Teams consistently underestimate cycle time because they're measuring active work — not the full journey from creation to deployment.
Visibility in standard reports
Jira's built-in reports show velocity and burndown. None of them tell you which status transition is the bottleneck destroying your SLAs.
Install from Atlassian Marketplace in one click. Time in Status reads your existing issue history — nothing to configure, no data to export.
Every ticket, every transition, broken down by day. Filter by assignee, sprint, issue type, or date range. Identify exactly where tickets are spending the most time.
Sort by wait time to surface the worst offenders. See which statuses are consistently holding up delivery — and for which team members.
Set a baseline, make a process change, compare before and after. Cycle time and SLA trend charts show whether your fixes are working.
Stop arguing in retros.
Start with the data.
The Sprint Report gives your team everything they need for a productive
retrospective — completed work, scope changes, velocity trends, and
carryover — generated in seconds.
After one sprint cycle with Time in Status, we found 4.2 days stuck in code review. Something we'd been blaming on engineers for months."
Our retros used to be an hour of debate. Now we open the Sprint Report, look at the data, and spend 45 minutes actually improving things."
We cut cycle time by 3 days in two sprints. Turned out QA was waiting an average of 2.1 days for a single reviewer to become available."
See how your cycle time
compares to industry benchmarks
A free 8-page benchmark report synthesising research from DORA, LinearB, Haystack, Atlassian and McKinsey across 10,000+ engineering teams. See what healthy cycle time looks like — and exactly where most Jira teams lose time.