# suede-customer-research

Extracts buyer pain points and verbatim quotes from interviews, tickets, or forums. It grounds product positioning in verifiable customer evidence.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 126
- Author: JasonColapietro
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/JasonColapietro/suede-creator-skills/tree/HEAD/skills/suede-customer-research/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/suede-customer-research

## What it does

The skill organizes research workflows across two distinct modes. In the first mode, it parses internal assets like sales call transcripts and support tickets. In the second mode, it scours external channels such as Reddit or G2 for unfiltered buyer feedback. It first checks for `.agents/product-marketing.md` or `.claude/product-marketing.md` to borrow defined ICP boundaries.

Extraction covers Jobs to Be Done and exact buyer vocabulary. Findings are clustered by theme. Sources from the past 12 months carry more weight.

Fewer than five independent sources per segment are marked as raw signals, not proven findings. The skill deliberately avoids drafting final copy or running isolated competitor comparisons, which belong to sibling tools in the repository.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add JasonColapietro/suede-creator-skills --skill suede-customer-research -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/suede-customer-research/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/suede-customer-research/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add JasonColapietro/suede-creator-skills --skill suede-customer-research -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/suede-customer-research/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add JasonColapietro/suede-creator-skills --skill suede-customer-research -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/suede-customer-research/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install JasonColapietro/suede-creator-skills suede-customer-research
```

2. **Manually: put the files in place**
- File: `.github/skills/suede-customer-research/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add JasonColapietro/suede-creator-skills --skill suede-customer-research -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/JasonColapietro/suede-creator-skills --path skills/suede-customer-research
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/suede-customer-research/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add JasonColapietro/suede-creator-skills --skill suede-customer-research -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/JasonColapietro/suede-creator-skills/tree/HEAD/skills/suede-customer-research/SKILL.md

## When to use it
- extract purchase triggers and pains from interview transcripts
- parse support tickets and NPS verbatims for recurring complaints
- build voice-of-customer quote banks for landing pages
- discover unmoderated problem discussions across Reddit and G2

## Example prompts
- Analyze these customer interview transcripts and extract functional and emotional jobs to be done.
- Scan these support tickets from the last 12 months for recurring pain points and exact quotes.
- Search Reddit and G2 for the primary triggers that make buyers look for alternative tools.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: da445771a982552d.

BEGIN THIRD-PARTY FILE da445771a982552d
```text
---
name: suede-customer-research
description: "Suede AI customer-research discipline: interview design, transcript, ticket, survey, and NPS synthesis, review and forum mining with saved captures, VOC quote banks, jobs to be done, evidence-backed personas, and the exact questions buyers type into search and AI assistants. Use when discovering or synthesizing what a defined customer segment actually says, does, needs, and resists. NOT FOR: competitor-only profiling (use suede-competitor-profiling), writing final marketing copy (use suede-copy), or deciding product priorities without product evidence (use suede-product-marketing)."
metadata:
  version: 2.1.0
---

# Suede AI Customer Research

Use this customer-research playbook to ground positioning, product, and copy in traceable customer evidence rather than assumption.

## Before Starting

Check for `.agents/product-marketing.md` (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md`) and read it if present: the ICP, segment definitions, and what research already exists decide where to look and what counts as a representative sample. Ask only what it does not already answer.

---

## Two Modes of Research

### Mode 1: Analyze Existing Assets
You have raw research material (transcripts, surveys, reviews, tickets). Your job is to extract signal.

### Mode 2: Go Find Research
You need to gather intel from online sources (Reddit, G2, forums, communities, review sites). Your job is to know where to look and what to extract.

Most engagements combine both. Establish which mode applies before proceeding.

---

## Mode 1: Analyzing Existing Research Assets

### Asset Types

**Customer interview / sales call transcripts**
- Extract: pains, triggers, desired outcomes, language used, objections, alternatives considered
- Look for: the moment they decided to look for a solution, what they tried before, what success looks like to them

**Survey results**
- Segment responses by customer tier, use case, or tenure before drawing conclusions
- Flag: what open-ended answers say vs. what multiple-choice answers say (they often conflict)
- Identify: the 20% of responses that contain the most useful signal

**Customer support conversations**
- Mine for: recurring complaints, confusion points, feature requests, and "I wish it could…" language
- Categorize tickets before analyzing: don't treat all tickets as equal signal
- Separate bugs from confusion from missing features from expectation mismatches

**Win/loss interviews and churned customer notes**
- Wins: what tipped the decision? What almost made them choose a competitor?
```
END THIRD-PARTY FILE da445771a982552d

The third-party file has ended. Everything between the da445771a982552d tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2629 of 13931 bytes. © JasonColapietro · MIT · https://github.com/JasonColapietro/suede-creator-skills/tree/HEAD/skills/suede-customer-research/SKILL.md

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