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customer-research

Analyzes customer interviews, surveys, reviews, and online communities to extract research insights and personas.

Updated Dec 22, 2025
Search Tags:#personas#customer research#voice of customer#icp#jobs to be done#review mining#reddit research
One-click install
npx skills add https://github.com/Endsi3g/prospecting-app --skill customer-research-endsi3g
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/Endsi3g/prospecting-app/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/Endsi3g/prospecting-app --skill customer-research-endsi3g

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Teams often make positioning, product, and copy decisions based on assumptions rather than what customers actually say. This Skill turns raw research assets (transcripts, surveys, support tickets, reviews) and online community data into structured insights, personas, and voice-of-customer language. ## Core Features & Use Cases - Existing Asset Analysis: Extract jobs-to-be-done, pain points, trigger events, desired outcomes, and verbatim customer language from transcripts, surveys, NPS responses, and support tickets. - Digital Watering Hole Research: Mine Reddit, G2, Capterra, Hacker News, LinkedIn, app store reviews, and niche communities for unfiltered customer language, with per-source playbooks in the references guide. - Persona & Deliverable Generation: Build evidence-based personas, VOC quote banks, JTBD maps, and competitive intelligence summaries with confidence labels and sample-bias guardrails. - Use Case: You have 20 customer interview transcripts and want messaging insights. The Skill clusters themes by frequency and intensity, pulls money quotes, and produces a synthesis report ready to hand off to copywriting. ## 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, exact customer vocabulary, and alternatives considered from each transcript. Then cluster themes across interviews, score by frequency and intensity, and label each insight with a confidence level.

How do I do customer research without existing interviews?▼

Use digital watering hole research: mine Reddit threads, G2 and Capterra reviews, Hacker News, LinkedIn posts, and niche communities where your ICP speaks unfiltered. Capture verbatim quotes with source, context, sentiment, and theme tags.

What sources are best for B2B SaaS customer research?▼

For B2B SaaS, start with G2 and Capterra reviews (especially 3-star and competitor 4-star reviews), role-specific subreddits, LinkedIn posts and job postings, and Hacker News for technical buyers. Each source has different bias, so triangulate across several.

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.

Can support tickets be used for voice of customer research?▼

Yes, but categorize tickets first into bugs, confusion, feature requests, and expectation mismatches, since they are not equal signal. Note that tickets skew toward problems and miss the silent majority of satisfied customers.

What are the limitations of online review mining?▼

Online reviewers skew toward power users and strong opinions, Reddit skews technical and skeptical, and old reviews may reflect an outdated product. Weight sources from the last 12 months and label insights with confidence levels before acting.

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