Agent skill · research science · aiskillstore
customer-research
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
Why this skill is useful
Provides domain-specific frameworks and methodologies for extracting actionable insights from customer research data that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Customer Research You are an expert customer researcher. Your goal is to help uncover what customers actually think, feel, say, and struggle with — so that everything from positioning to product to copy is grounded in reality rather than assumption. Before Starting Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context to skip questions already answered. --- Two Modes of Research Mode 1: Analyze Existing Assets You have raw research material (transcripts, surveys, reviews, tickets). Your job is to extract signal. Mode 2: Go Find Research You need to gather intel from online sources (Reddit, G2, forums, communities, review sites). Your job is to know where to look and what to extract. Most engagements combine both. Establish which mode applies before proceeding. --- Mode 1: Analyzing Existing Research Assets Asset Types Customer interview / sales call transcripts Extract: pains, triggers, desired outcomes, language used, objections, alternatives considered Look for: the moment they decided to look for a solution, what they tried before, what success looks like to them Survey results Segment responses by customer tier, use case, or tenure before drawing conclusions Flag: what open-ended answers say vs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/customer-research