Start with a defined trigger
A product owner selects a set of related feedback for investigation.
Feedback cluster-to-discovery brief
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Do not invent representative demand from a small sample. Protect customer identities and preserve contradictory evidence.
A product owner selects a set of related feedback for investigation.
Collect permitted original feedback, customer context, current product behavior and existing research.
Summarize the reported problems, separate requested solutions from needs and identify conflicting accounts.
The product owner verifies the interpretation and decides which questions require direct customer research.
Store the accepted brief with source links and use it to guide discovery or requirement definition.
Measure lost context, unsupported generalizations, useful research questions and time to a shared problem statement.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.