prompt

User Success Story Mining Brief

Create interview guides and analysis frameworks to extract authentic, quantified success stories from customer interactions.

Updated July 2026
The prompt
Design a success story extraction program for {{customer_segment}} using {{data_source}}:

1. **Interview Guide** (8-10 questions targeting):
   - Situation before our product
   - Specific metrics/KPIs they tracked
   - Implementation challenges & how we helped
   - Measurable results (avoid vague "improved")
   - Unexpected wins or side benefits

2. **Qualification Criteria**: Checklist to identify story-worthy wins (minimum {{min_metric}} improvement)

3. **Story Structure Template**: {{story_angle}} (e.g., cost-reduction, efficiency, revenue growth)

4. **Analysis Framework**: How to extract quotes, metrics, and narrative arcs for writing

5. **Content Output Formats**: Case study, 60-second testimonial video, LinkedIn narrative, webinar example

Provide sample questions and a scoring matrix to prioritize which customers to interview.
Did it work? Rate this prompt

Variables

Customer type or vertical
Data source: CRM, NPS surveys, support tickets
Minimum improvement threshold (e.g., 20%)
Primary success metric (ROI/efficiency/time)

Details

Author

AI Khazna

License

—

Security

—

Type

prompt

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