# Audience Personas

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

- Skill: `ootto-ai/audience-personas` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ootto-ai/audience-personas`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ootto-ai/audience-personas/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: Ootto-AI (https://skillmd.com/u/ootto-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ootto-ai/audience-personas

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# 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.