How often should you triage bugs?

Weekly for active products, bi-weekly for stable ones. The goal is to prevent the backlog from growing faster than it's being resolved. If you're adding 30 new bugs a week and closing 10, no triage cadence will save you — the underlying rate mismatch is the real problem.

How do you handle duplicate bug reports in the backlog?

Merge ruthlessly. A duplicate is a data point: five reports of the same bug confirm it's real and help you estimate user impact. When merging, keep the best-documented report as the canonical issue and link the duplicates to it. The recurrence count is useful signal — a bug that's been reported 12 times has different priority than one reported once.

What should you do with bugs you can't reproduce?

Move them to a 'pending reproduction' state, not closed. Set a reminder to check again after the next release. If a bug can't be reproduced after two sprint cycles and no new reports come in, close it with a note explaining the reproduction attempts. Never close a cannot-reproduce bug immediately — the reporter may have seen a real issue that's intermittent.

Should designers be involved in bug triage?

Yes, for any bug that touches the UI. Developers triage for technical impact; designers triage for UX impact. A bug that's trivially easy to fix technically might be causing significant user confusion. A bug that seems serious from a code perspective might be in a flow users never actually take. Both lenses matter.

How to Triage a Bug Backlog Without Losing Your Mind

A 200-item bug backlog is not a list of 200 things to fix. It's a list of 200 items of which maybe 5 need a developer's attention this week, 30 are worth fixing eventually, 50 are duplicates, and the rest are a mix of won't-fix edge cases, environment-specific non-issues, and feature requests that ended up in the wrong queue. The problem is that all 200 look the same until you sort them.

Triage is the sorting process. Done well, it takes 60–90 minutes a week and keeps your backlog actionable. Done badly — or not done at all — it produces a graveyard of stale tickets that nobody trusts and everybody ignores.

The two-axis framework

Every bug can be rated on two dimensions:

User impact: How many users does this affect? How badly? A bug that prevents checkout for 10% of users is critical; a visual misalignment on a rarely-used settings page is low.
Fix confidence: Do you understand the root cause? Can you reproduce it on demand? A bug with a clear stack trace and a known cause has high fix confidence; a bug you've seen once, can't reproduce, and don't understand has low confidence.

Plot these mentally (or literally, in a 2x2 matrix) and the priorities emerge:

High impact, high confidence: Fix this week. These are P0/P1 bugs — real user pain, clear path to a fix. They should never sit for more than one sprint.
High impact, low confidence: Investigate before anything else. You can't fix what you don't understand. Assign a developer to reproduce and root-cause it before estimating.
Low impact, high confidence: Batch into a sprint when the team has capacity. These are good bugs for newer developers to fix — low stakes, clear scope.
Low impact, low confidence: Park or close. If you can't reproduce it and users aren't reporting it repeatedly, the cost of investigation may exceed the benefit.

Before you rate anything: deduplicate

The single highest-leverage action in a bug triage session is merging duplicates. A backlog that looks like 200 bugs often becomes 120 after deduplication. More importantly, the merged duplicates give you data: a bug reported by 8 different users in 3 different ways is telling you something a single report never could.

When merging, keep the most reproducible report as the canonical ticket. Add a comment listing the duplicates and their recurrence count. That number — 8 independent reports vs. 1 — changes priority more than almost any other factor.

Running a triage session

A triage session should be short and focused. 60 minutes, once a week, with two people: one who understands the user (PM or support lead) and one who understands the code (lead developer or tech lead). More than that and you're in a meeting; fewer than two perspectives and you'll miss half the signal.

The agenda:

New bugs (20 min): Every bug filed since the last session gets rated and placed. Don't debate — if you disagree on priority, pick higher and move on. You can adjust later.
Pending investigation (15 min): Check the status of high-impact, low-confidence bugs. Did someone reproduce them? Do they need more information from the reporter?
Backlog health check (10 min): Are any bugs aging past 90 days with no progress? Either escalate them or close them. Stale bugs accumulate like technical debt — they create the illusion of work without any of the value.
Adjust priorities (15 min): Anything that changed since last week? A customer complaint, a spike in support tickets, a new data point? Re-rate accordingly.

The output of a triage session is not resolved tickets. It's a sorted list. Developers shouldn't be in the room — this is planning work, not implementation work.

When to close a bug without fixing it

Not every bug should be fixed. Closing a bug is a legitimate outcome, not a failure. Close when:

It's a won't-fix: The fix is riskier than the bug, the affected users are too few, or the behaviour is intentional (and the bug is actually a feature request).
It's cannot reproduce after two cycles: Set a policy — if a bug can't be reproduced after two sprint cycles and no new reports come in, close it with a detailed note explaining your reproduction attempts. Leave a tag so it can be re-opened if another report comes in.
It's superseded: The feature that contained the bug was removed or replaced in a subsequent release.

Every closure should include a reason. 'Closed: won't fix' with no explanation trains your team to stop trusting the bug tracker. 'Closed: cannot reproduce after 3 weeks and 4 attempts in Chrome 126, Safari 17, and Firefox 128 on macOS — will reopen if a reproducible case surfaces' trains your team that the tracker is reliable.

Metrics that tell you if triage is working

Two numbers tell you everything:

Bug inflow vs. outflow: If you're closing more bugs than you're opening (net negative), triage is working. If the backlog grows every week, you have a capacity problem, not a triage problem.
Mean age of P0/P1 bugs: Critical bugs should be closed within days, not weeks. If your critical bugs are aging past 10 days, something is wrong with either the prioritization or the team's capacity to act on it.

Track these in whatever tool you use. A backlog you can't measure is a backlog you can't manage.