Customer Story Builder

Turn raw customer signal into a polished case study — plus every derivative format you need. One input (messy transcript or quote), all outputs (case study, one-pager, social snippet, deck slide).

Core principle: The best customer stories already exist in your support tickets, Slack channels, and call recordings. You just need to extract and structure them.

When to Use

• "Turn this customer interview into a case study"
• "We have a great Slack quote from customer] — help me build a story around it"
• "Write a case study for customer]"
• "I need social proof assets from customer win]"
• "Package this customer result for the sales team"

Phase 0: Intake

Customer Context

1. Customer name — Can we use their name publicly? (Named vs. anonymous)
2. Company description — Industry, size, stage (1 sentence)
3. Customer role/title — Who's the champion?
4. How long have they been a customer?

Raw Input (provide any/all)

1. Interview transcript — Full or partial transcript from a customer call
2. Slack/email quotes — Specific messages where they praised the product
3. Survey responses — NPS comments, CSAT feedback
4. Support ticket excerpts — Before/after of a problem solved
5. Review excerpts — G2, Capterra, Trustpilot quotes
6. Metrics — Any numbers: time saved, revenue impact, efficiency gains, before/after

Story Angle

1. Primary use case — What were they using the product for?
2. Key transformation — What changed? (The "before → after" in one sentence)
3. Output formats needed — Full case study, one-pager, social snippet, sales slide, or all?

Phase 1: Extract Story Elements

From the raw inputs, identify and extract:

The Problem (Before)

• What was the customer's situation before using the product?
• What specific pain were they experiencing?
• What had they tried before? (Manual process, competitor, nothing)
• How bad was it? (Quantify if possible — hours wasted, money lost, deals missed)

The Decision (Why You)

• Why did they choose your product?
• What alternatives did they consider?
• What was the deciding factor?

The Solution (How)

• Which specific features/capabilities did they use?
• How did they implement it? (Timeline, effort)
• Any surprising use cases or creative applications?

The Result (After)

• Hard metrics — numbers, percentages, time saved, revenue gained
• Soft outcomes — confidence, team morale, process improvements
• Before/after comparison — the transformation in concrete terms

Best Quotes

Pull the 3-5 strongest verbatim quotes from the raw input:

• Hero quote — the single most powerful statement (for headlines)
• Problem quote — describes the pain vividly
• Result quote — describes the outcome with specificity
• Recommendation quote — would they recommend? Why?

Phase 2: Generate Story Outputs

Output 1: Full Case Study (800-1200 words)

markdown
# [Headline: Outcome-driven, not product-driven]
*[Subhead: Customer name + one-line result]*

---

## About [Customer]

[2-3 sentences: company, industry, size, what they do]

## The Challenge

[2-3 paragraphs: What was the problem? Why did it matter? What had they tried?]

> "[Problem quote]"
> — [Name], [Title] at [Company]

## Why [Your Product]

[1-2 paragraphs: How did they find you? What made them choose you?]

## The Solution

[2-3 paragraphs: How did they use the product? Which capabilities mattered most?]

> "[Solution/experience quote]"

## The Results

[Results summary with metric callouts]

### Key Metrics
- **[Metric 1]:** [Number + context]
- **[Metric 2]:** [Number + context]
- **[Metric 3]:** [Number + context]

> "[Result quote]"

## What's Next

[1 paragraph: Future plans, expansion, what they're excited about]

---

**Industry:** [X] | **Company size:** [X] | **Use case:** [X] | **Product:** [X]

Output 2: One-Pager (Sales Leave-Behind)

markdown
# [Customer Name]: [Headline Result]

**Challenge:** [2 sentences]
**Solution:** [2 sentences — what they use and how]
**Results:**
- [Metric 1]
- [Metric 2]
- [Metric 3]

> "[Hero quote]"
> — [Name], [Title]

[CTA: Learn more / Request a demo]

Output 3: Social Proof Snippets

For website testimonial section:

"[Short, punchy quote — max 2 sentences]"
— [Name], [Title] at [Company]
[Result: X% improvement in Y]

For LinkedIn post:

[Customer Name] just shared their results:

→ [Metric 1]
→ [Metric 2]
→ [Metric 3]

"[Quote]"

Here's their story: [link]

For cold email insert:

[Company in their industry] saw [key metric] after switching to [Product].

"[Short quote about the result]" — [Name], [Title]

Output 4: Sales Deck Slide Content

Slide title: "[Customer] — [Key Result]"

Left side:
- Challenge: [1 line]
- Solution: [1 line]
- Result: [1 line with metric]

Right side:
> "[Hero quote]"
— [Name], [Title]

[Customer logo]

Output 5: Metric Callout Cards

For website or marketing collateral:

[BIG NUMBER]
[Label — e.g., "hours saved per week"]
— [Customer Name]

Generate 2-3 of these from the strongest metrics.

Phase 3: Story Quality Check

Before finalizing, verify:

• ] Specificity — Are results concrete, not vague? ("3x pipeline" > "improved results")
• ] Credibility — Is the customer named? Is the metric believable?
• ] Relevance — Does this story match your ICP? Will prospects see themselves?
• ] Permission — Flag if customer approval is needed before publishing
• ] Freshness — Are the results recent? (>12 months old = less impactful)

Phase 4: Output

Save all assets to clients/<client-name>/product-marketing/customer-stories/[customer-slug]/:

• case-study-full.md — Complete case study
• one-pager.md — Sales leave-behind
• social-snippets.md — All social proof formats
• slide-content.md — Deck slide content
• raw-inputs.md — Original source material (for reference)

Cost

| Component | Cost | |-----------|------| | All story generation | Free (LLM reasoning) | | Total | Free |

Tools Required

None. Pure reasoning skill. Takes raw text input and produces structured outputs.

Trigger Phrases

• "Turn this transcript into a case study"
• "Build a customer story for customer]"
• "Package customer]'s results as social proof"
• "Run customer story builder for customer]"