About audience-personas
A skill for turning supplied customer evidence into grounded audience segments. It is for marketers working with interviews, comments, reviews, or CRM notes, and avoids inventing demographics or unsupported personas.
Key features
- 01Clusters evidence by jobs, outcomes, and objections
- 02Preserves source language and citations
- 03Creates segments with message angles and questions
- 04Labels confidence and unresolved issues
- 05Flags claims and quotes needing review
Use cases
- 01Grouping interview notes into evidence-backed segments
- 02Finding message angles from reviews and comments
- 03Checking customer statements before public use
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ ootto-ai/ claude-content-skills --skill audience-personasAfter installing, type/audience-personasin Claude Code to confirm it loaded.
Details
From the project READMEAudience 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 | inference appears as fact | label it as a hypothesis |
| Too many segments | minor differences treated as groups | merge around the shared job-to-be-done |
Where it sits
social-listening gathers recurring conversation → audience-personas groups it → positioning-audit turns it into a message.