Turning customer feedback into opportunities
Having AI summarize dozens of customer comments saves hours, as long as you can trust every theme it pulls out. You learn to go from a raw pile of feedback to opportunities you can trace back to verbatims, and to know what such a synthesis cannot tell you before you bring it to a roadmap review.
Lesson objective
By the end of this lesson, you will be able to have a body of user feedback grouped into themes and opportunities, with each theme tied to verbatims you have checked, and explain what the synthesis does not tell you.
Topics covered
- customer feedback synthesis
- feedback analysis
- product opportunities
- user verbatims
- product discovery
Where it fits
Prompting on your PM deliverables
How do you apply these methods to discovery and delivery without losing fidelity to the data?
Lessons in this module
- Turning customer feedback into opportunities (this lesson)
- Building a persona grounded in verbatims
- Preparing and critiquing an interview guide
- Writing and challenging user stories
What you will learn in this module
This lesson is part of the course Prompting for Product Managers: delegate, describe, verify
- Evaluate an AI output (content, process, behavior) against explicit criteria, then improve it through targeted iterations.
- Produce PM deliverables with AI (feedback synthesis, persona, interview guide, user stories) from real data, and check that they are faithful to it.
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