Phase 01 · Discover

Bug statistics

How it works

Before the release, in the backlog: bug clustering across all sources shows where reported defects pile up and which components sit behind them – so architecture and feature improvements start where it counts. The difference to Incident clustering in Operate: this is about bugs in the backlog before the release; that one is about incidents from running operations.

Clusters bugs across all sources
Shows recurring failure spots in the code
Prioritises architecture and feature improvements by impact

Roles

Product ManagerEngineer

Teklens apps & integrations

Teklens.aiJira

Example prompts

Copy one of the following prompts and paste it into the Teklens chat. Adapt the details to your use case.

Where does the product fail most often according to the bug clusters?

Cluster the open bugs by component and show me the three biggest problem areas.

Related use cases

More use cases from the same phase of the cycle.

Customer insightsClusters scattered customer signals from every source and turns them into prioritised product opportunities.View use case Duplicate & relatedness sweepFinds duplicate and related ideas and bugs across the whole backlog – linked to the code they touch.View use case Code-grounded estimationThe first rough triage in Discover: effort, risk and complexity for every incoming idea – estimated against the real code.View use case

From the PM Lab

Articles that explore this use case in depth.

Try Teklens now

Software product management × code intelligence: your context becomes reasoned priorities and build-ready specs.

Start the demo Talk to a founder