voice-of-customer-miner

Mine public reviews and forums for unmet needs, competitor weaknesses, and switching triggers with quoted evidence.

6.8k|818|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill voice-of-customer-miner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice-of-customer-miner
Source: https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/voice-of-customer-miner
Command: npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill voice-of-customer-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams often wait weeks for interview cycles before hearing real customer language, and generic competitive research lacks quoted evidence. This Skill mines public review sites, app stores, Reddit, and forums to surface unmet needs, competitor weak points, and switching triggers in customers' own words — fast, but with every theme labeled as a hypothesis to validate.

Core Features & Use Cases

  • Structured voice mining: Runs a search plan, source sweep, verbatim capture, and need-theming workflow across review sites (G2, Capterra, TrustRadius), app stores, and community forums.
  • Evidence discipline: Requires real quoted verbatims with URLs, honest frequency labels (recurring, concentrated, isolated), and per-source bias notes — never fabricated quotes.
  • Decision-ready output: Produces a Voice-of-Customer Snapshot with need themes, competitor weak points, switching triggers, opportunity hypotheses, and assumptions to validate in interviews.
  • Use Case: Before planning a Q1 bet on a migration tool, mine the reviews of two competitors to learn what their customers are angriest about, then feed the weaknesses into a battle card and the themes into discovery interviews.

Quick Start

Ask the agent to mine voice-of-customer for a named competitor set and the decision it should inform, for example: mine voice-of-customer for Competitor A and Competitor B focused on onboarding to inform our Q1 migration-tool bet.

Frequently Asked Questions about voice-of-customer-miner

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

FAQPage Schema
How do I mine customer reviews for unmet needs?

Define whose voice to mine (yours, a competitor's, or a set) and the decision it informs, then sweep review sites, app stores, and forums for short quoted verbatims with URLs. Cluster quotes by the underlying need rather than the feature complained about, and label each theme's frequency honestly.

What sources should I use for voice-of-customer research?

Use B2B review sites like G2, Capterra, and TrustRadius, plus app stores, Reddit, practitioner forums, and community boards. Each source carries a known skew — reviewers skew negative, vendor communities skew loyal, app stores over-represent update anger — so note the bias per source.

Can public review mining replace customer interviews?

No. Public voice skews toward the angry and vocal, so every mined theme is a hypothesis to validate, not a verdict. The output explicitly routes assumptions into real discovery interviews as its final step.

When should I not use public review mining?

Skip it when the market has no meaningful public footprint, such as early-stage or niche enterprise products — run discovery interviews instead. Also avoid it when you need your own users' voice on private areas or when statistical confidence is required, since this is qualitative theming.

How do I avoid fabricating customer quotes in research?

Apply the rule that anything in quote marks must be a real excerpt at a real URL — never paraphrase into quotes or invent ratings, review counts, or reviewer roles. Verbatim laundering is treated as the cardinal sin of this workflow.