audience-personas

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Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.

Code & Development 28 stars 5 forks Updated 2 weeks ago MIT

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Quality Score: 84/100

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Skill Content

# Audience Personas Turn supplied customer evidence into grounded audience segments. Use it when a marketer has interviews, comments, reviews, or CRM notes and needs to decide who a message is for. It is not for inventing demographics, market size, or personas from intuition. ## 1. Establish the evidence Ask for the source, date range, decision owner, offer, and desired audience action. Keep direct quotes separate from summaries and name material that is missing. ## 2. Group observable patterns Cluster the evidence by job-to-be-done, desired outcome, objection, exact language, and trigger. Cite the source for each cluster. Do not manufacture a segment just to reach a round number. ## 3. Produce a usable segment For each evidence-backed segment, return its job, language, objections, useful message angles, and the question it is already asking. Label confidence and unresolved questions. ## 4. Hold claims for review Flag any demographic statement, outcome claim, or customer quote that needs approval before public use. ## Hard rules - Do not infer demographics, income, identity, or intent not present in the source. - Do not turn one loud comment into a market-wide claim. - Keep observed language distinct from suggested copy. - If evidence is thin, ask for more comments, reviews, or interviews. ## Failure modes | Symptom | Cause | Fix | |---|---|---| | Generic personas | source has no concrete language | ask for verbatim comments or interviews | | False certainty | in...

Details

Author
Ootto-AI
Repository
Ootto-AI/claude-content-skills
Created
2 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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