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Module
Module 3 of 4Lesson 2 of 4~12 min

Building a persona grounded in verbatims

Asking AI for a persona without giving it any material produces a believable but invented portrait that can steer a whole team the wrong way. This lesson shows how to anchor a persona in what your users actually said, and how to draw out the assumptions to test before you use it to make decisions.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to have a persona structured from real verbatims, separating what is observed from what is assumed, and list the hypotheses to validate in interviews.

Topics covered

  • user persona
  • AI-generated persona
  • customer verbatims
  • user research
  • product assumptions

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

  1. Turning customer feedback into opportunities
  2. Building a persona grounded in verbatims (this lesson)
  3. Preparing and critiquing an interview guide
  4. 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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