You need customer stories for your website, case studies for sales, testimonials for ads. But asking customers to write testimonials is like pulling teeth. What if you could extract them from conversations you’re already having? This guide shows you how to mine customer calls for authentic stories, quotes, and case study material.Documentation Index
Fetch the complete documentation index at: https://docs.buildbetter.ai/llms.txt
Use this file to discover all available pages before exploring further.
The Content Problem
Traditional approach:- 📧 Email customer: “Can you write a testimonial?”
- 🦗 Crickets (customers are busy)
- ⏰ 2 weeks later, get generic “great product” quote
- 😐 Not compelling, doesn’t convert
What You’ll Achieve
With BuildBetter:- ✅ Extract success stories from customer calls automatically
- ✅ Find authentic quotes (in customer’s own words)
- ✅ Identify ROI and specific outcomes mentioned
- ✅ Build case studies without lengthy customer interviews
- ✅ Create content pipeline that never runs dry
Time saved: Traditional case study: 10+ hours. With BuildBetter: 2 hours (mostly writing, not gathering).
Step 1: Find Your Best Stories
[screenshot: Signals filtered for success stories and positive sentiment]Filter for Success Moments
- Go to Signals
- Filter:
- Type: Praise or Success
- Sentiment: Positive or Very Positive
- Contains: “saved”, “ROI”, “results”, “love”
Step 2: Extract Authentic Quotes
[screenshot: Call playback showing customer quote with timestamp]Get Exact Customer Quotes
For each story:
- Click on the signal
- Click timestamp to jump to moment
- Listen to exact quote in customer’s voice
- Copy verbatim quote (BuildBetter shows transcript)
Step 3: Create Case Studies
[screenshot: Generated case study document]Generate Case Study Outline
Query: “Create a case study for [Customer Name] based on our conversations. Include: their problem, solution, results, and quotes.”Example output:
Step 4: Build Content Pipeline
[screenshot: Content calendar generated from customer stories]Monthly Content Extraction
First Monday of each month:
- Review last month’s customer calls
- Filter for positive moments
- Extract 3-5 quotes
- Draft social posts / blog ideas
Real Uses
Social Proof:- Website testimonials (direct quotes)
- Landing page trust signals
- Social media posts
- Case studies for specific industries
- ROI proof points
- Competitive positioning
- Blog posts (“How [Customer] achieved X”)
- Email campaigns
- Video testimonials (ask permission to use clips)
Next Steps
ICP Understanding
Use customer language for messaging
Content Generation
Scale content creation from insights (stub)
To be expanded: Full content coming soon with case study templates, permission email templates, and content calendar workflows.