Voice of Customer Miner

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Mine public reviews, app stores, and forums for unmet needs, competitor weaknesses, and switching triggers — with quoted evidence. Use when you want customer voice without waiting on interviews.

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voice-of-customer-miner

Mine public reviews, app stores, and forums for unmet needs, competitor weaknesses, and switching triggers — with quoted evidence. Use when you want customer voice without waiting on interviews.

argument-hint: [whose customer voice, and the decision it informs]
intent: Mine public customer voice for unmet needs, competitor weaknesses, and switching triggers, with real quoted verbatims and labeled inference. Bridges competitive intelligence and discovery: outputs feed JTBD canvases, opportunity solution trees, and battle cards — as hypotheses to validate, not verdicts.
type: workflow
theme: market-intelligence
best_for: Finding what users actually complain about and wish for — yours and competitors' — from the public record, Arming battle cards with competitor weaknesses in customers' own words, Seeding discovery interviews and opportunity trees with evidence-backed hypotheses
scenarios: Mine the reviews of our top two competitors — what are their customers angriest about?, Before the interview cycle starts, what does the public web say our segment's unmet needs are?
estimated_time: 20-35 min per run

Voice-of-Customer Miner

Purpose

Mine public customer voice — review sites, app stores, Reddit and practitioner forums, community boards — for unmet needs, competitor weaknesses, and switching triggers: search plan → source sweep → verbatim capture → need themes → so what → next-step options. This bridges competitive intelligence and discovery: it delivers customers' exact words without waiting on an interview cycle. But public voice skews toward the angry and the vocal, so every theme it surfaces is a hypothesis to validate, never a verdict — the output's last stop is always a real conversation.

Input

Works best with: the product(s) or competitor(s) to mine — yours, a rival's, or a set — and the decision this should inform. Also useful: a theme to focus on (onboarding, pricing, reliability) if you have one; otherwise the sweep runs open.

Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it against the question budget; don't re-ask.

Arriving empty-handed? That works too. The skill opens with at most 3 questions (whose voice, what decision, theme or open sweep) and proceeds on labeled assumptions if they go unanswered.

Example invocation: Mine voice-of-customer for [Competitor A] and [Competitor B], focus on onboarding — informs whether our Q1 bet is a migration tool.

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Voice of Customer Miner

Voice-of-Customer Miner

Purpose

Input

Key Concepts

Application

Output schema (do not reorder)

Final Step (offer exactly 4 options)

Examples

Theme: getting historical data out at contract end

Common Pitfalls

References