Phase 01 · DiscoverTeklens match: very high
Customer insights
How it works
Scattered customer signals from multiple systems are clustered automatically and turned into prioritised product opportunities – clusters as the input, every source plus code intelligence as the foundation.
- Collects and clusters signals across all connected sources
- Turns idea clusters into feature candidates automatically
- Anchors every candidate to the affected components and the code
- Prioritises by value vs effort, risk and complexity
Roles
Product ManagerCPO / CTO
Teklens apps & integrations
Teklens.aiConfluenceJira
Example prompts
Copy one of the following prompts and paste it into the Teklens chat. Adapt the details to your use case.
Cluster the current customer feedback and show the most relevant opportunities.
Turn the idea cluster [topic] into a feature candidate with code context.
Which clusters touch which components?
Related use cases
More use cases from the same phase of the cycle.
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 Bug statisticsClusters reported bugs in the backlog and shows where defects pile up – the basis for targeted improvements.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.