Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.
Scanned 9/1/2026
Install to Claude Code
npx -y skills add Ootto-AI/claude-content-skills --skill audience-personas --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: audience-personas
description: Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.
user-invokable: true
argument-hint: "[paste customer evidence]"
license: MIT
metadata: { author: Ootto, version: "1.0.0", category: marketing }
---
# 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 | 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.
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