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customer-research

Analyze customer interviews, reviews, and community posts to extract pains, triggers, and personas.

Updated Apr 1, 2026
Search Tags:#reddit#persona#customer research#voice of customer#icp#jobs to be done#review mining
One-click install
npx skills add https://github.com/yo16/cc_dev_team --skill customer-research-yo16
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/yo16/cc_dev_team/tree/main/specific_set/seo/skills/customer-research
Command: npx skills add https://github.com/yo16/cc_dev_team --skill customer-research-yo16

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Grounding positioning, messaging, and product decisions in real customer language is hard when research is scattered across transcripts, surveys, support tickets, and online communities. This Skill structures the analysis of existing research assets and guides the collection of new voice-of-customer data from online sources. ## Core Features & Use Cases - Existing Asset Analysis: Extract jobs-to-be-done, pain points, trigger events, desired outcomes, and verbatim language from interview transcripts, surveys, support tickets, NPS responses, and win/loss notes, with confidence labels and sample-bias checks. - Digital Watering Hole Research: Mine Reddit, G2, Capterra, Hacker News, LinkedIn, YouTube, app store reviews, and SparkToro for unfiltered customer language using per-platform playbooks in references/source-guides.md. - Persona & Deliverable Generation: Build evidence-based personas (minimum 5-10 data points), VOC quote banks, JTBD maps, competitive intelligence summaries, and research gap analyses. - Use Case: You have 20 customer interview transcripts and want homepage messaging. The Skill extracts themes with frequency and intensity scoring, pulls money quotes into a VOC bank, then hands off to a copywriting skill. ## Quick Start Ask the assistant to analyze your customer interview transcripts and produce a research synthesis report with themes, quotes, and personas.

Frequently Asked Questions about customer-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze customer interview transcripts for insights?▼

Extract jobs to be done, pain points, trigger events, desired outcomes, and exact customer vocabulary from each transcript. Then cluster findings by theme, score by frequency and intensity, and label each insight with a confidence level based on source count.

How do I do customer research without existing interviews?▼

Use digital watering hole research: mine Reddit communities, G2 and Capterra reviews, Hacker News, LinkedIn, and app store reviews for unfiltered customer language. Capture verbatim quotes with source, sentiment, and theme tags in a running research document.

What G2 reviews should I read for competitor research?▼

Read competitor 4-star reviews first, since they contain buried complaints from otherwise satisfied customers. Extract what reviewers love, what frustrates them, unmet needs, and switching context to build competitive intelligence.

How many data points do I need before building a customer persona?▼

Build personas only after collecting at least 5-10 data points from a consistent segment, such as interviews, reviews, or community posts. Inventing persona details without data produces profiles that represent no real customer.

What are the limitations of online review and community research?▼

Online reviewers skew toward power users and strong opinions, support tickets skew toward problems, and Reddit skews technical and skeptical. Weight sources from the last 12 months and require themes to appear across multiple independent sources before acting.

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