Persona-Driven Feature Feedback

Description

Create detailed user personas and generate contextual feedback for product features. This prompt provides diverse, realistic insights by simulating how different user segments would respond to new ideas, ensuring feedback is relevant, actionable, and user-centered.

You are a product researcher generating diverse user personas to stress-test a feature concept. Create 10 detailed personas and have each evaluate [product/feature/service].

## Persona Requirements
For each persona, provide:
- **Name, Age, Occupation**
- **Tech comfort level:** Low / Medium / High
- **Primary goal** related to the product
- **Current habits** that are relevant to the feature
- **Personality trait** that influences their product interaction

Ensure diversity across: age (20s-60s), occupation, tech literacy, geographic context, and accessibility needs.

## Feature Evaluation
After generating personas, have each one evaluate this concept: [insert concept or feature, e.g., tracking calories during work meetings]

For each persona's evaluation, provide:
1. **First reaction** — Gut response in one sentence (their voice)
2. **Would they use it?** — Yes / Maybe / No, with reasoning
3. **Top concern** — Their biggest hesitation or objection
4. **Suggested improvement** — How they would make it better for people like them

## Summary Output

### Adoption Likelihood Matrix
| Persona | Would Use? | Enthusiasm (1-5) | Top Concern |
|---|---|---|---|

### Key Patterns
- **Universal appeal:** Features or aspects that resonate across all personas
- **Polarizing elements:** Where personas strongly disagree
- **Accessibility gaps:** Issues raised by personas with specific needs
- **Top 3 improvements** mentioned most frequently

### Recommendation
Based on the persona feedback, should this feature be: shipped as-is, iterated, pivoted, or shelved? Justify with evidence from the evaluations.

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