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Yvesdefaria
YvesdefariaCOMMUNITY
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customer-research

Analyzes customer interviews, surveys, reviews, and community posts to extract voice-of-customer insights.

Updated Aug 3, 2026
Search Tags:#personas#interviews#customer research#voice of customer#jobs to be done#review mining#pmf survey
One-click install
npx skills add https://github.com/Yvesdefaria/GymLab --skill customer-research-yvesdefaria
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/Yvesdefaria/GymLab/tree/main/.opencode/skills/marketingskills/skills/customer-research
Command: npx skills add https://github.com/Yvesdefaria/GymLab --skill customer-research-yvesdefaria

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 review sites. This Skill structures the entire customer research workflow so insights come from evidence rather than assumption. ## Core Features & Use Cases - Three Research Modes: Analyze existing assets (transcripts, surveys, tickets, NPS), mine online watering holes (Reddit, G2, Hacker News, app stores, SparkToro), or run primary research (interviews and PMF surveys). - Extraction Framework: Pulls jobs-to-be-done, pain points, trigger events, desired outcomes, verbatim language, and alternatives considered, with confidence labels and sample-bias guardrails. - Persona & Deliverable Generation: Builds evidence-based personas (minimum 5-10 data points), VOC quote banks, JTBD maps, and competitive intelligence summaries. - Use Case: You have 20 customer interview transcripts and want messaging for your homepage. The Skill extracts themes, scores them by frequency and intensity, surfaces money quotes, 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 confidence levels.

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, exact customer language, and alternatives considered from each transcript. Then cluster themes across interviews, score by frequency and intensity, and label each insight with a confidence level based on source count.

How to do customer research with no existing data?▼

Start with digital watering hole research: mine Reddit, G2, competitor reviews, and niche communities for unprompted customer language. Then run 5-10 customer interviews using casual outreach, and avoid building personas until you have at least 5-10 data points per segment.

What is the PMF survey and the 40% benchmark?▼

The PMF survey asks users how they would feel if they could no longer use the product. If 40% or more answer very disappointed, you likely have product/market fit; Superhuman reached 58% by segmenting and engineering its roadmap around that cohort.

Which review sites should I mine for competitor research?▼

G2 and Capterra are the primary B2B sources, with competitor 4-star reviews being the highest signal because they contain buried complaints. For consumer products, use app store reviews, Trustpilot, Reddit communities, and YouTube or TikTok comments.

What are the limitations of online review mining?▼

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, require multiple independent sources before drawing conclusions, and prefer first-party interviews when signals conflict.

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