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customer-research

Analyzes interviews, surveys, reviews, and community posts to extract customer insights and personas.

Updated Jul 28, 2026
Search Tags:#positioning#competitive intelligence#persona#customer research#voice of customer#jobs to be done#interview analysis
One-click install
npx skills add https://github.com/christian-byrne/comfy-skills --skill customer-research-christian-byrne
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/christian-byrne/comfy-skills/tree/main/skills/customer-research
Command: npx skills add https://github.com/christian-byrne/comfy-skills --skill customer-research-christian-byrne

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Grounds positioning, product decisions, and copy in real customer evidence instead of assumptions by extracting pains, triggers, desired outcomes, and voice-of-customer language from research assets and online communities. ## Core Features & Use Cases - Existing Asset Analysis: Extracts jobs-to-be-done, pain points, trigger events, and verbatim language from interview transcripts, surveys, support tickets, win/loss notes, and NPS responses. - Digital Watering Hole Research: Guides where to find unfiltered customer language across Reddit, G2, Hacker News, LinkedIn, and review sites based on ICP type. - Persona & Deliverable Generation: Produces research synthesis reports, VOC quote banks, personas, JTBD maps, and competitive intelligence summaries with confidence-labeled insights. - Use Case: You have 20 sales call transcripts and want to rewrite your landing page. The skill extracts recurring pains and exact customer phrases, clusters them by theme, and delivers a quote bank ready for copy. ## Quick Start Analyze these customer interview transcripts and produce a research synthesis report with the top themes and representative quotes.

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 language from each transcript, then cluster findings by theme across interviews. Score themes by frequency and emotional intensity, and label each insight with a confidence level based on source count.

How to do customer research using Reddit and G2 reviews?▼

Choose sources based on your ICP type: G2 and Capterra for product-category feedback, Reddit and YouTube comments for raw language, and LinkedIn or job postings for trigger events. Capture verbatim quotes with source, date, sentiment, and theme tags for each finding.

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

Build personas only after gathering at least 5-10 data points from a consistent segment, such as interviews, reviews, or community posts. Avoid averaging across segments, and leave fields blank rather than inventing details without supporting data.

What is the difference between analyzing surveys and support tickets?▼

Surveys require segmenting responses by tier or use case and comparing open-ended answers against multiple-choice results. Support tickets need categorization into bugs, confusion, missing features, and expectation mismatches before mining for recurring complaints.

When should I weight recent customer feedback more heavily?▼

Weight sources from the last 12 months more heavily because markets shift and older transcripts may reflect a different product or buyer. Also adjust for sample bias, since reviewers skew toward power users and support tickets skew toward problems.

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