library
Analysis

User Persona Builder

Specific, evidence-based user persona — not a stock photo.

quality 87·0 copies
variables
preview · optimized for chatgpt
## User Persona: {product}

**Inputs**
- Product: {product}
- Signals: {signals}

### Output

1. **Name + identity** — invented first name + one-line role/age band/context (e.g., "Maya — 32, mid-level marketer at a 50-person SaaS").
2. **Top 3 goals** — each tied to a specific signal in the input.
3. **Top 3 frustrations with current solutions** — each cites a signal (quote, behavior, churn reason).
4. **Where they hang out** — 3-5 named places: subreddits, Slack/Discord groups, podcasts, conferences, newsletters.
5. **Switch trigger** — the single thing that makes them leave their current tool (price event, missing feature, peer rec).
6. **Churn trigger** — the failure mode that loses them.

### Rules

- ✅ "Frustrated by 3 disconnected tools (signal: support ticket #482)" — cite the signal
- ✅ Name real places: r/marketing, MarketingOps Slack, Lenny's Newsletter, SaaStr Annual
- ❌ "Tech-savvy", "passionate", "values quality", "data-driven user"
- ❌ Generic triggers like "better UX"; demographic filler unrelated to the product
- If signals are thin, write `Insufficient signal — need: [input]` instead of fabricating