customer-research

Extract and synthesize customer voice from interviews, surveys, and support tickets.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sapelite/balloon --skill customer-research-sapelite
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/sapelite/balloon/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/sapelite/balloon --skill customer-research-sapelite

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams uncover what customers truly think, feel, and struggle with so that product decisions, positioning, and messaging are grounded in evidence instead of assumptions.

Core Features & Use Cases

  • Customer research synthesis (Mode 1): Extract jobs-to-be-done, pain points, trigger events, desired outcomes, verbatim language, and alternatives from interviews, surveys, support tickets, win/loss notes, and NPS verbatims.
  • Digital watering hole research (Mode 2): Gather qualitative insight from Reddit, G2/Capterra, Hacker News, LinkedIn, forums, YouTube/TikTok comments, and other communities.
  • Research-grade synthesis: Cluster themes, score frequency and intensity, segment findings by customer profile, surface “money quotes,” and flag contradictions with confidence and recency guardrails.
  • Persona and deliverable support: Produce deliverables like theme reports, VOC quote banks, personas, jobs-to-be-done maps, competitive intel summaries, and research gap analyses.

Quick Start

Use the customer-research skill to analyze your research materials or mine relevant online sources for verbatim customer language and ranked themes for messaging or product decisions.

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?

To extract jobs to be done from customer interviews, this skill synthesizes qualitative inputs to reveal pains, triggers, and desired outcomes. It clusters themes using frequency and intensity scoring to surface verbatim language and actionable insights.

What is the best way to mine voice of customer quotes from online reviews?

Mining voice of customer quotes from online reviews involves gathering qualitative data from digital watering holes like Reddit and G2. This skill applies recency weighting and confidence labeling to segment findings and build a reliable VOC quote bank.

Can I build personas using support tickets and NPS verbatims?

You can build personas using support tickets and NPS verbatims by processing them through this skill. It extracts customer profile segments, desired outcomes, and alternatives, flagging contradictions to ensure persona building inputs are grounded in evidence.

How do I conduct competitive review intelligence research for B2B products?

Conducting competitive review intelligence for B2B products requires synthesizing customer language from community sources. This skill applies evidence-guardrails and theme clustering to rank findings, delivering competitive intel summaries and research gap analyses.

Does this customer research approach work for both B2B and B2C scenarios?

This customer research approach works effectively for both B2B and B2C scenarios. It extracts trigger events and desired outcomes across diverse inputs, applying consistent recency weighting and confidence labeling to deliver theme reports.