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name: startup-review-mining description: > THE GOLD MINE: Systematic extraction of pain points, feature gaps, switching triggers, and opportunities from ALL review sources (G2, Capterra, TrustRadius, App Store, Play Store, Reddit, Hacker News, Twitter/X, ProductHunt, GitHub Issues, support forums). Goes beyond UI/UX to cover pricing friction, support failures, integration nightmares, and value gaps.

Review Mining Skill - The Gold Mine

This skill extracts real customer pain from reviews and testimonials - unfiltered, authentic, and actionable. Reviews are where customers complain about problems they'll pay to solve.

Key Distinction from software-ux-research:

• software-ux-research = UI/UX pain points only
• startup-review-mining (this skill) = ALL pain dimensions (pricing, support, integration, performance, onboarding, value gaps)

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When to Use This Skill

Invoke when users ask for:

• Pain point extraction from reviews (any source)
• Competitive weakness analysis
• Feature gap identification
• Switching trigger analysis (why customers leave competitors)
• Market opportunity discovery through customer complaints
• Review sentiment analysis across platforms
• B2B software evaluation (G2, Capterra, TrustRadius)
• B2C app analysis (App Store, Play Store)
• Community sentiment (Reddit, HN, Twitter/X)
• Support pain patterns (forums, tickets, Stack Overflow)

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Quick Reference Table

Mining Task	Source Category	Template	Output
Full Review Mining	All sources	review-mining-report.md	Comprehensive pain analysis
B2B Software	G2, Capterra, TrustRadius	b2b-review-extraction.md	Enterprise pain points
B2C Apps	App Store, Play Store	b2c-review-extraction.md	Consumer pain points
Tech Communities	Reddit, HN, ProductHunt	community-sentiment.md	Technical sentiment
Competitor Weakness	Cross-platform	competitor-weakness-matrix.md	Competitive gaps
Switching Triggers	All sources	switching-trigger-analysis.md	Why customers leave
Feature Requests	All sources	feature-request-aggregator.md	Unmet needs
Opportunity Mapping	All sources	opportunity-from-reviews.md	Actionable opportunities

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The 7 Pain Dimensions

Reviews reveal pain across 7 dimensions - not just UI/UX:

Dimension	What to Look For	Example Signals
1. UI/UX Pain	Usability, navigation, design	"confusing interface", "hard to find", "ugly design"
2. Pricing Pain	Cost, billing, contracts	"too expensive", "hidden fees", "locked in contract"
3. Support Pain	Response time, resolution quality	"slow support", "unhelpful", "no documentation"
4. Integration Pain	API complexity, data migration	"can't connect to X", "migration nightmare", "no API"
5. Performance Pain	Speed, reliability, uptime	"slow", "crashes", "downtime", "buggy"
6. Onboarding Pain	Setup complexity, time-to-value	"took weeks to set up", "steep learning curve"
7. Value Pain	Feature gaps, unmet jobs	"missing X feature", "can't do Y", "not what I needed"

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Decision Tree: Choosing Mining Approach

Review Mining Need: [What do you want to learn?]
    |
    +-- Finding pain points in a market?
    |   +-- B2B software? → G2 + Capterra + TrustRadius (resources/source-by-source-extraction.md#b2b)
    |   +-- Consumer app? → App Store + Play Store (resources/source-by-source-extraction.md#b2c)
    |   +-- Developer tool? → GitHub Issues + Stack Overflow + HN (resources/source-by-source-extraction.md#tech)
    |
    +-- Analyzing specific competitors?
    |   +-- Direct comparison? → Competitor Weakness Matrix (templates/competitor-weakness-matrix.md)
    |   +-- Why customers switch? → Switching Trigger Analysis (templates/switching-trigger-analysis.md)
    |   +-- Feature gaps? → Feature Request Aggregator (templates/feature-request-aggregator.md)
    |
    +-- Finding opportunities?
    |   +-- Quick wins (<2 weeks)? → Opportunity Template (templates/opportunity-from-reviews.md#quick-wins)
    |   +-- Medium bets (2-8 weeks)? → Opportunity Template (templates/opportunity-from-reviews.md#medium)
    |   +-- Big differentiation? → Opportunity Template (templates/opportunity-from-reviews.md#big-bets)
    |
    +-- Understanding sentiment?
    |   +-- Real-time complaints? → Twitter/X monitoring (resources/source-by-source-extraction.md#social)
    |   +-- Community opinion? → Reddit + HN (resources/source-by-source-extraction.md#community)
    |   +-- Launch feedback? → ProductHunt (resources/source-by-source-extraction.md#producthunt)
    |
    +-- Comprehensive analysis?
        +-- Full market research? → Review Mining Report (templates/review-mining-report.md)

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Review Sources (Complete Guide)

Tier 1: Very High Signal (Start Here)

Source	Type	Best For	How to Access
G2	B2B Reviews	Enterprise software pain	g2.com/products/[name]/reviews
TrustRadius	B2B Reviews	In-depth technical reviews	trustradius.com/products/[name]/reviews
App Store	B2C Reviews	iOS app pain	apps.apple.com + AppFollow/Appbot
Play Store	B2C Reviews	Android app pain	play.google.com + AppFollow/Appbot
GitHub Issues	Developer	Bug patterns, feature requests	github.com/[org]/[repo]/issues
Hacker News	Tech Community	Technical critiques, scalability	news.ycombinator.com + Algolia search
Reddit	Community	Raw unfiltered opinions	reddit.com/r/[subreddit]

Tier 2: High Signal

Source	Type	Best For	How to Access
Capterra	B2B Reviews	SMB software comparisons	capterra.com/p/[id]/[name]/reviews
ProductHunt	Launch Feedback	First impressions, early adopters	producthunt.com/products/[name]
Stack Overflow	Developer	Integration difficulties	stackoverflow.com/questions/tagged/[tag]
Gartner Peer Insights	Enterprise	Enterprise pain, vendor comparisons	gartner.com/reviews/market/[market]
Twitter/X	Social	Real-time complaints	twitter.com/search?q=[product]

Tier 3: Medium Signal

Source	Type	Best For	How to Access
Software Advice	B2B	SMB-focused reviews	softwareadvice.com/[category]
LinkedIn	Professional	B2B complaints, professional sentiment	linkedin.com/feed
Quora	Q&A	Questions = unmet needs	quora.com/topic/[topic]
YouTube Comments	Tutorial	Confusion points, documentation gaps	youtube.com/watch?v=[id]
Public Support Forums	Support	Recurring issues, workarounds	[product].community.com

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Navigation: Resources

Extraction Methodology

• resources/source-by-source-extraction.md - Platform-specific extraction guides for each source with search queries, filters, and export methods

Analysis Frameworks

• resources/pain-categorization-framework.md - 7-dimension pain taxonomy with severity scoring and prioritization
• resources/sentiment-analysis-patterns.md - Identifying pain vs praise, detecting intensity, and spotting trends

Competitive Intelligence

• resources/competitor-review-comparison.md - Cross-competitor analysis methodology with switching trigger identification

Opportunity Mapping

• resources/review-to-opportunity-mapping.md - Converting pain points to actionable product opportunities with ROI estimation

External References

• data/sources.json - Review platform URLs, API endpoints, and tool recommendations

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Navigation: Templates

Full Reports

• templates/review-mining-report.md - Comprehensive mining report with all dimensions

Source-Specific Extraction

• templates/b2b-review-extraction.md - B2B software review extraction (G2, Capterra, TrustRadius)
• templates/b2c-review-extraction.md - Consumer app review extraction (App Store, Play Store)
• templates/community-sentiment.md - Community sentiment analysis (Reddit, HN, ProductHunt)

Competitive Analysis

• templates/competitor-weakness-matrix.md - Cross-competitor weakness comparison
• templates/switching-trigger-analysis.md - Why customers leave competitors
• templates/feature-request-aggregator.md - Unmet needs collection

Pain Analysis

• templates/pain-point-extraction-worksheet.md - Structured worksheet for 7-dimension pain extraction

Opportunity Output

• templates/opportunity-from-reviews.md - Pain → Opportunity conversion

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Related Skills

• ../software-ux-research/SKILL.md - UI/UX Sibling: UI/UX-specific research (this skill goes broader)
• ../startup-idea-validation/SKILL.md - Consumer: Uses review mining data for validation scoring
• ../startup-trend-prediction/SKILL.md - Parallel: Combines with trend data for timing
• ../startup-mega-router/SKILL.md - Orchestrator: Routes to this skill for pain discovery
• ../product-management/SKILL.md - Consumer: Uses pain points for discovery and roadmapping

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Operational Workflow

Standard Mining Flow

1. SCOPE (Define Target)
   +-- Which product/market to analyze?
   +-- Which competitors to include?
   +-- Time range (last 6-12 months recommended)

2. EXTRACT (Gather Data)
   +-- B2B: G2 → Capterra → TrustRadius
   +-- B2C: App Store → Play Store
   +-- Tech: GitHub → HN → Stack Overflow
   +-- Social: Twitter/X → Reddit → LinkedIn

3. CATEGORIZE (7 Dimensions)
   +-- UI/UX Pain
   +-- Pricing Pain
   +-- Support Pain
   +-- Integration Pain
   +-- Performance Pain
   +-- Onboarding Pain
   +-- Value Pain

4. SCORE (Prioritize)
   +-- Frequency (how often mentioned)
   +-- Severity (how painful)
   +-- Addressability (can we solve it?)

5. MAP (Convert to Opportunities)
   +-- Quick Wins (<2 weeks)
   +-- Medium Bets (2-8 weeks)
   +-- Big Differentiation (8+ weeks)

6. OUTPUT (Deliverable)
   +-- Review Mining Report
   +-- Competitor Weakness Matrix
   +-- Opportunity Backlog

Integration with Validation Pipeline

USER ASKS                              SKILL FLOW
──────────────────────────────────────────────────────────────
"Find opportunities in X market"  → startup-review-mining → Pain Report
                                         ↓
"What's trending?"               → startup-trend-prediction → Timing Analysis
                                         ↓
"Should we build this?"          → startup-idea-validation → GO/NO-GO Score
                                         ↓
"What skills do we need?"        → startup-mega-router → Implementation Path

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Usage Notes

For Claude: When user asks to "find pain points" or "analyze reviews":

1. Ask which market/product/competitors to analyze
2. Use source-by-source-extraction.md for platform-specific queries
3. Categorize findings into 7 pain dimensions
4. Score by frequency × severity × addressability
5. Output using review-mining-report.md template

For Claude: When user asks to "find opportunities":

1. First extract pain points (above workflow)
2. Use review-to-opportunity-mapping.md to convert
3. Categorize into Quick Wins / Medium Bets / Big Differentiation
4. Feed to startup-idea-validation for scoring

Output Formats:

• Pain points: 7-dimension matrix with severity scores
• Competitor analysis: Weakness comparison with quote evidence
• Opportunities: Prioritized backlog with effort/impact estimates
• Switching triggers: Why customers leave (ranked by frequency)

Key Principle: Reviews are the voice of the customer. Mine them systematically.