customer-research

Analyze transcripts, mine online reviews, and synthesize customer research into personas and JTBD reports.

1|Updated Aug 17, 2026
One-click install
npx skills add https://github.com/NalinDalal/skillset --skill customer-research-nalindalal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/NalinDalal/skillset/tree/main/skills/business/customer-research
Command: npx skills add https://github.com/NalinDalal/skillset --skill customer-research-nalindalal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Teams struggle to turn scattered customer feedback—interview transcripts, surveys, support tickets, and online reviews—into actionable insights about pains, triggers, and desired outcomes. ## Core Features & Use Cases - Three Research Modes: Analyze existing assets (transcripts, surveys, tickets), mine online signal (Reddit, G2, forums), or run primary research (interviews, PMF surveys). - Structured Extraction Framework: Pull jobs-to-be-done, pain points, trigger events, desired outcomes, and verbatim customer language from every source. - Persona & Deliverable Generation: Produce synthesis reports, VOC quote banks, personas, JTBD maps, and competitive intelligence summaries with confidence-level labeling. - Use Case: You have 20 sales call transcripts and want to understand why prospects churn. The Skill extracts recurring pains and triggers, clusters them by theme, scores frequency and intensity, and delivers a synthesis report with money quotes. ## Quick Start Analyze these customer interview transcripts and build a persona document with top pains, triggers, and verbatim 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, exact customer vocabulary, and alternatives considered from each transcript. Then cluster findings by theme, score frequency and intensity, and label each insight with a confidence level.

What is the best way to build customer personas without review data?▼

Walk outward through proxy sources: start with your product differentiator, then mine direct competitors' reviews, comparable marketplace products, and adjacent brands. Tag each persona with its proxy source and require at least 5 to 10 data points per segment.

How does the Sean Ellis PMF survey work?▼

Ask customers how they would feel if they could no longer use your product. The benchmark for product-market fit is 40% answering very disappointed; Superhuman reached 58% using this method.

Where should I mine customer feedback online for B2B SaaS?▼

Start with G2 and Capterra reviews for product-category language, then use Reddit role-specific subreddits, Hacker News, and LinkedIn for raw unfiltered signal. Capture verbatim quotes with source, date, sentiment, and theme tags.

What are the limitations of online review mining for customer research?▼

Online reviewers skew toward power users with strong opinions, support tickets skew toward problems, and Reddit skews technical and skeptical. Weight sources from the last 12 months and never draw conclusions from fewer than 5 independent data points per segment.