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customer-research

Extract jobs-to-be-done, pain points, and verbatim language from customer research assets.

Updated Apr 6, 2026
Search Tags:#customer research#voice of customer#jobs to be done#persona building#VOC quote bank#review mining#ICP research
One-click install
npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill customer-research-daanteijema-beep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/daanteijema-beep/ai-gids-platform/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill customer-research-daanteijema-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you uncover what customers actually think, feel, say, and struggle with so your decisions about messaging, product, and positioning are grounded in evidence instead of assumptions.

Core Features & Use Cases

  • Analyze existing research assets: Extract jobs-to-be-done, pains, triggers, desired outcomes, alternatives, and exact customer language from interviews, surveys, support conversations, churn notes, and NPS verbatims.
  • Run digital watering hole research: Identify where your ICP is talking (e.g., Reddit, G2/Capterra, forums, review sites, LinkedIn, job postings) and extract verbatim quotes, sentiment, and theme tags from online sources.
  • Synthesize into usable deliverables: Cluster themes, score frequency and intensity, label confidence (high/medium/low), flag contradictions, and generate outputs like a research synthesis report, VOC quote bank, personas, JTBD maps, and competitive intel.

Quick Start

Ask the skill: analyze these customer research assets and extract top themes with representative verbatim quotes, confidence labels, and a recommended deliverable.

Frequently Asked Questions about customer-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract jobs to be done and customer pain points from interview notes and support tickets?▼

To extract jobs to be done and pain points from customer research assets, the Skill analyzes existing interviews, support tickets, and NPS verbatims to identify triggers, desired outcomes, and alternatives. It applies extraction frameworks with confidence labels to synthesize verbatim customer language into actionable themes.

What is digital watering hole mining for voice of customer research?▼

Digital watering hole mining for voice of customer research involves identifying where your ICP is talking on platforms like Reddit, G2, and LinkedIn, then extracting verbatim quotes, sentiment, and theme tags. The Skill automates this online research process to build a VOC quote bank.

How do I build personas from customer review mining and NPS verbatims?▼

You build personas from customer review mining and NPS verbatims by clustering extracted themes, scoring frequency and intensity, and flagging contradictions. The Skill synthesizes this data into JTBD maps and persona deliverables using specific extraction and synthesis frameworks with recency guardrails.

Can I analyze churn and win-loss notes to identify desired outcomes and alternatives?▼

Yes, you can analyze churn and win-loss notes to identify desired outcomes and alternatives. The Skill processes these existing research assets in its analyze-assets mode, extracting exact customer language and labeling confidence levels to ground your product and positioning decisions in evidence.

What's the best way to turn customer survey data into a research synthesis report?▼

The best way to turn customer survey data into a research synthesis report is using a two-mode workflow that extracts jobs-to-be-done and pain points, then clusters themes with confidence and recency guardrails. This approach transforms raw survey input into structured competitive intel and actionable insights.

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