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Customer Persona From Real Data

Build personas from interviews and analytics, not stereotypes.

What you get: Evidence-based personas with jobs, triggers, objections and channels.

input
output — ChatGPT / Claude
Create 2–3 customer personas for {{product}} using only this evidence: interviews/notes {{interviews}}, survey results {{survey}}, analytics or sales data {{analytics}}.

For each persona: a descriptive name, situation and context, jobs to be done, triggers for buying, desired outcomes, objections and fears, how they search and decide, channels they trust, language they use (quoted), and the evidence supporting each claim. Mark claims with weak evidence. Avoid demographic stereotypes unless the data supports them, and suggest how to validate each persona.