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customer-research

Analyze customer transcripts, surveys, and reviews to extract needs and pain points.

Updated Mar 25, 2026
Search Tags:#messaging#analysis#personas#interviews#customer-research#online-research#voc
One-click install
npx skills add https://github.com/MileniumTick/skills --skill customer-research-mileniumtick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/MileniumTick/skills/tree/main/skills/customer-research
Command: npx skills add https://github.com/MileniumTick/skills --skill customer-research-mileniumtick

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you uncover what customers actually think, feel, and struggle with — so that product messaging, positioning, and UX are grounded in real-world language and needs.

Core Features & Use Cases

  • Mode 1: Analyze Existing Assets — extract Jobs to Be Done, Pain Points, Trigger Events, Desired Outcomes, Language/Vocabulary, and Alternatives Considered from transcripts, surveys, tickets, and reviews.
  • Mode 2: Digital Watering Hole Research — gather intelligence from online sources (Reddit, G2/Capterra reviews, forums, LinkedIn, indie communities, and social platforms) to surface unfiltered customer signals.
  • Synthesis & Output — cluster themes, score frequency and intensity, segment by profile, surface "money quotes," and support outputs like VOC quote banks or personas for downstream messaging and product work.
  • Guardrails & Quality — apply recency weighting, bias checks, and confidence labels to signal reliability and guide prioritization.
  • Deliverables & Use Cases — inform copywriting, page CRO, product design, and strategy with grounded customer language.

Quick Start

Read the product-marketing context if present, choose Mode 1 or Mode 2, and apply the extraction framework to generate actionable customer insights.

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 pain points from customer interviews and support tickets?▼

To extract jobs to be done and pain points from customer interviews and support tickets, apply a structured analysis framework to your existing assets. This reveals true customer needs, desired outcomes, and trigger events from your internal data.

Can I analyze Reddit threads and G2 reviews for unfiltered customer research?▼

Yes, you can analyze Reddit threads and G2 reviews for unfiltered customer research by conducting digital watering hole research. This gathers external signals from forums, social platforms, and review sites to surface unfiltered customer language and alternatives considered.

What's the best way to turn customer survey responses into personas and VOC quote banks?▼

The best way to turn customer survey responses into personas and VOC quote banks is to cluster themes, score frequency and intensity, and segment by profile. This synthesis surfaces money quotes for downstream product and messaging work.

Does customer research analysis work with unstructured text from online communities?▼

Yes, customer research analysis works with unstructured text from online communities. It gathers intelligence from digital watering holes like forums and social platforms, applying recency weighting and bias checks to guide prioritization and signal reliability.

How do I apply confidence scoring to voice of customer research data?▼

To apply confidence scoring to voice of customer research data, cluster themes and evaluate frequency and intensity. Apply recency weighting and bias checks to label reliability, which guides prioritization of customer insights for product messaging.

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