Phase 01 · DiscoverTeklens match: very high
Code-grounded estimation
How it works
The first filter in Discover: every incoming idea gets a rough triage estimate against the real code – effort, risk, complexity and the experts involved, before the team invests any time. The difference to Feasibility-aware prioritisation: this is the quick first read on each single idea; that one ranks the whole portfolio.
- Estimates effort, risk and complexity based on the real code
- Names the affected experts and components
- Grounds triage and estimation in the code
- Condenses the triage per idea into an estimation widget
Roles
CPO / CTOProduct Manager
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.
Estimate risk, effort and complexity for idea [ID].
Which experts are relevant for [idea]?
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 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.
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Software product management × code intelligence: your context becomes reasoned priorities and build-ready specs.