Research a Customer Persona from Scratch
Build a research-backed customer persona in 90 minutes, using real community data, not guesswork, to sharpen your product positioning and copy.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Mine Reddit and Forums for Voice-of-Customer
Use Perplexity to search relevant subreddits, forums, and review sites for your product category. Ask it to extract the most common complaints, desires, and phrases real customers use.
Step 2
Analyze Reviews at Scale
Feed 20–30 Amazon, G2, or Capterra reviews for your product category into Claude. Ask it to identify patterns in why people buy, what they love, and what frustrates them.
Step 3
Synthesize Into a Persona
Ask Claude to synthesize all findings into a persona document: name, job title, daily workflow, goals, pain points, and the exact language they use to describe their problem.
Step 4
Write the Messaging Framework
Use the persona to write 5 value propositions and 3 headline options using ChatGPT. Run them by the persona's actual language to ensure they resonate.
Step 5
Validate with Research
Use Consensus or Elicit to find any research studies that validate or challenge your persona assumptions. Add key findings to the persona document.
Time Required
1–1.5 hrs
Expected Result
A detailed persona document with demographics, goals, pain points, buying triggers, objections, and direct quotes from real customers.
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