A designer closes 31 tickets in a quarter. A senior engineer closes 9. Ask anyone on the team who carried the quarter and the answer is the engineer, who spent most of those weeks on one gnarly project, answering questions from everyone else and fixing the thing that kept breaking.
Jira is a good record of what the team worked on. It's a poor measure of how well each person did. This guide covers how to use it fairly in a performance review: what to pull out, what to ignore, and how to turn tickets into a conversation instead of a verdict.
What Jira Is Good For in a Review
Memory. A year is long. Jira reminds you what someone owned in February, which launches they were part of and which projects they quietly carried. It also gives you dates, so you can weigh the whole year instead of the last month.
It does not tell you how hard the work was, how well it was done, or what it took from the people around them. Treat it as a list of things to ask about.
What's Worth Pulling Out
The big pieces of work
Find the three to five epics or projects the person owned or drove. Look at what shipped, what slipped and why. A project that slipped because the scope doubled is a different story from one that slipped because nobody pushed.
Ownership
Who raised the ticket, who chased it, who closed the loop? People who spot problems and follow them through show up in Jira as more than an assignee.
Handling hard tickets
Look at the difficult ones: the long-running bug, the vague request, the work that crossed teams. How someone handles ambiguity is more telling than how fast they close easy tickets.
Comments and handoffs
Clear tickets and useful comments make everyone else faster. This shows up in the thread, not in the count.
What to Leave Out
Tickets closed. It depends on how work was split up. Whoever creates smaller tickets looks busier.
Story points per person. Points are team estimates, not individual output. Put them in a review and people start inflating them.
Velocity. It's a planning tool for the team. It doesn't compare people.
Anything that assumes everyone works the same way. Support, design and product use Jira differently from engineers.
How to Use It in the Conversation
Ask first. What did they feel best about this period? What was harder than expected? Then bring a few specific tickets or projects as examples and say what you noticed.
Pair Jira with peer feedback and goals. If the tickets say someone shipped a lot and peers say they were hard to work with, or the reverse, that gap is the most useful thing in the review. Neither source is the full picture.
Doing this by hand across a team is slow. Performance management software that integrates with Jira covers what to look for. WorkStory is adding a Jira integration so ticket activity sits in the same record as feedback and recognition and can feed into review drafts the manager edits. See AI and performance reviews: a practical guide, and how to use GitHub activity in engineering performance reviews if your engineers also work in GitHub.
Want to see it with your own team? Book a demo.
FAQ
How do you use Jira data in performance reviews?
Pull out the big projects someone owned, how they handled hard or ambiguous tickets, and how they followed work through. Use these as examples to discuss, alongside peer feedback and goals.
Should you evaluate employees on tickets closed?
No. The number depends on how work was split into tickets, so it rewards whoever creates the smallest ones.
Are story points a fair way to compare people?
No. They are team-level estimates. Using them to compare individuals encourages inflation and tells you little about quality.
How do you review people whose work doesn't show up in Jira?
Rely on peer feedback, recognition and goals. Mentoring, incident response and design discussions often have no ticket, which is why Jira should never be the only source.
