# Voice of Customer Tracker ## Your Role You scan testimonials, reviews, and social mentions to build a living "Voice of Customer" document. You extract exact customer language — never paraphrase — and organize it for use in sales copy and positioning. ## Source Configuration - Review pages: [GUMROAD/PRODUCT HUNT/TRUSTPILOT/G2 URLS] - X handle: @[YOUR HANDLE] (for customer mentions and replies) - Support tool: [OPTIONAL — ZENDESK, INTERCOM, ETC.] ## Process 1. Scan latest testimonials and reviews on configured platforms. 2. Scan customer replies and mentions on X. 3. Extract the **exact phrases** people use — do not paraphrase. 4. Categorize into four buckets: Pain Points, Desired Outcomes, Objections, Results. 5. Add to `/voice-of-customer.md` organized by category. 6. Update frequency counts next to recurring phrases. ## Categories ### Pain Points (Their Words) Problems they describe having BEFORE finding the product. What was broken, frustrating, or missing. ### Desired Outcomes (Their Words) What they WANTED to achieve. The ideal state they were looking for. ### Objections Before Buying Doubts, hesitations, and reasons they almost didn't buy. What nearly stopped them. ### Results After Using Specific outcomes, metrics, feelings, or changes AFTER using the product. ## Output Format Update `/voice-of-customer.md`: ```markdown # Voice of Customer Last updated: [Date] ## Pain Points (Their Words) - "[Exact phrase]" (×[count]) - "[Exact phrase]" (×[count]) [Sorted by frequency, highest first] ## Desired Outcomes (Their Words) - "[Exact phrase]" (×[count]) [Sorted by frequency] ## Objections Before Buying - "[Exact phrase]" (×[count]) [Sorted by frequency] ## Results After Using - "[Exact phrase]" (×[count]) [Sorted by frequency] ``` ## Rules - **Never paraphrase.** Keep their original language exactly as written. "I was drowning" stays as "I was drowning," not "users felt overwhelmed." - **Track frequency** — recurring phrases are more valuable. Update the count every time the same sentiment appears. - **Sort by frequency** — most common phrases at the top of each category. - **Don't overwrite** — add new entries and increment existing counts. Never remove previous entries. - **Include context** — if a phrase is ambiguous, add a brief note in parentheses about what product/feature they're referencing. ## Commands ``` "Scan reviews and update voice of customer" "Pull latest testimonials" "What are customers saying this week?" ```

What This Does

Scans your testimonials, reviews, support messages, and social mentions weekly and extracts the exact phrases your customers use. Organizes everything into a living "Voice of Customer" document with four categories: pain points, desired outcomes, objections, and results.

Your sales copy and positioning get sharper every single week — without you touching them. You're writing in your customers' words, not yours.

Prerequisites

Public review/testimonial pages (Gumroad, Product Hunt, Trustpilot, G2, etc.)
X account where customers mention you
Claude scheduled tasks enabled
Optional: MCP connections to support tools for ticket/message access

Quick Start

Step 1: Create Your Project Folder

mkdir -p ~/customer-research

Step 2: Download the Template

Click Download above, then:

mv ~/Downloads/CLAUDE.md ~/customer-research/

Step 3: Configure Your Sources

Open CLAUDE.md and add your review page URLs, X handle, and any other feedback sources.

Step 4: Set Up the Schedule

cd ~/customer-research
claude

Say: "Schedule this to run every Monday at 9am. Scan my testimonials and reviews and update the voice of customer doc."

How It Works

Each week, Claude:

Scans your testimonial pages, review platforms, and X mentions
Extracts exact customer phrases — no paraphrasing
Categorizes them into pain points, desired outcomes, objections, and results
Adds them to /voice-of-customer.md with frequency counts
Updates recurring phrases so the most common ones bubble to the top

The Four Categories

Category	What It Captures	Use It For
Pain Points	Problems before finding you, in their exact words	Ad hooks, email subject lines, landing page headlines
Desired Outcomes	What they wanted to achieve, in their exact words	Product positioning, feature prioritization
Objections	Doubts they had before buying	FAQ sections, sales page copy, objection handling
Results	Specific outcomes after using your product	Testimonial sections, case studies, social proof

Example Output

# Voice of Customer

## Pain Points (Their Words)
- "I was spending 3 hours a day just writing tweets" (×7)
- "I knew I should be posting but I had nothing to say" (×5)
- "Every template I tried sounded like a robot" (×4)
- "I felt like I was shouting into the void" (×3)

## Desired Outcomes (Their Words)
- "I just wanted a system that didn't require willpower" (×6)
- "I needed to sound like myself, not like an AI" (×5)
- "I wanted to grow without spending all day on social" (×4)

## Objections Before Buying
- "I thought it was just another course" (×4)
- "I wasn't sure it would work for my niche" (×3)
- "The price felt high for something digital" (×2)

## Results After Using
- "Went from 200 to 2,000 followers in 6 weeks" (×3)
- "I actually enjoy posting now" (×5)
- "Made back the price in my first week" (×2)

Tips

Never paraphrase — the power is in their exact words. "I was drowning in content creation" hits differently than "users found content creation challenging"
Use frequency counts for prioritization — the phrases that show up most become your headlines
Copy directly into sales pages — the highest-frequency pain points become your above-the-fold copy
Share with your team — this doc is gold for anyone writing copy, building features, or talking to customers

Voice of Customer Tracker