Phase 01 · Discover
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
CPO / CTO · tech leadershipHead of product & engineering
Teklens apps & integrations
Teklens.aiConfluenceJira
Example prompts & actions
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
Three use cases closely connected to this one.
From product conversation to Jira story.Teklens sits in product conversations, connects customer and team insights with Jira and real code, and turns decisions into product work.View use case Existing functionality before new development.Checks new ideas against tickets, earlier decisions and the real codebase before another feature becomes another project.View use case Controlled access to approved AI models.Product and engineering work with approved AI models – centrally managed, with rules for data protection and hosting.View use case
From the PM Lab
Articles that explore this use case in depth.
Give Teklens a real job.
Connect Jira and your code – and let Teklens work on something real.