Manage — Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intel
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Manage — Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intel
When a competitor launches a major feature or pricing change
Quarterly competitive review
Before a sales pitch where you need battle card data
When entering a new market segment
Teardown Workflow
Follow these steps in sequence to produce a complete teardown:
Define competitors — List 2–4 competitors to analyze. Confirm which is the primary focus.
Collect data — Use references/data-collection-guide.md to gather raw signals from at least 3 sources per competitor (website, reviews, job postings, SEO, social). Validation checkpoint: Before proceeding, confirm you have pricing data, at least 20 reviews, and job posting counts for each competitor.
Score using rubric — Apply the 12-dimension rubric below to produce a numeric scorecard for each competitor and your own product. Validation checkpoint: Every dimension should have a score and at least one supporting evidence note.
Generate outputs — Populate the templates in references/analysis-templates.md (Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit).
Build action plan — Translate findings into the Action Items template (quick wins / medium-term / strategic).
Package for stakeholders — Assemble the Stakeholder Presentation using outputs from steps 3–5.
Data Collection Guide
Full executable scripts for each source are in references/data-collection-guide.md. Summaries of what to capture are below.
1. Website Analysis
Key things to capture:
Pricing tiers and price points
Feature lists per tier
Primary CTA and messaging
Case studies / customer logos (signals ICP)
Integration logos
Trust signals (certifications, compliance badges)
2. App Store Reviews
Review sentiment categories:
Praise → what users love (defend / strengthen these)
Feature requests → unmet needs (opportunity gaps)
Bugs → quality signals
UX complaints → friction points you can beat them on
Sample App Store query (iTunes Search API):
GET https://itunes.apple.com/search?term=<competitor_name>&entity=software&limit=1
# Extract trackId, then:
GET https://itunes.apple.com/rss/customerreviews/id=<trackId>/sortBy=mostRecent/json?l=en&limit=50
Parse entry[].content.label for review text and entry[].im:rating.label for star rating.
3. Job Postings (Team Size & Tech Stack Signals)
Signals from job postings:
Engineering volume → scaling vs. consolidating
Specific tech mentions → stack (React/Vue, Postgres/Mongo, AWS/GCP)
Sales/CS ratio → product-led vs. sales-led motion
Data/ML roles → upcoming AI features
Compliance roles → regulatory expansion
4. SEO Analysis
SEO signals to capture:
Top 20 organic keywords (intent: informational / navigational / commercial)
Domain Authority / backlink count
Blog publishing cadence and topics
Which pages rank (product pages vs. blog vs. docs)
5. Social Media Sentiment
Capture recent mentions via Twitter/X API v2, Reddit, or LinkedIn. Look for recurring praise, complaints, and feature requests. See references/data-collection-guide.md for API query examples.
Scoring Rubric (12 Dimensions, 1-5)
#
Dimension
1 (Weak)
3 (Average)
5 (Best-in-class)
1
Features
Core only, many gaps
Solid coverage
Comprehensive + unique
2
Pricing
Confusing / overpriced
Market-rate, clear
Transparent, flexible, fair
3
UX
Confusing, high friction
Functional
Delightful, minimal friction
4
Performance
Slow, unreliable
Acceptable
Fast, high uptime
5
Docs
Sparse, outdated
Decent coverage
Comprehensive, searchable
6
Support
Email only, slow
Chat + email
24/7, great response
7
Integrations
0-5 integrations
6-25
26+ or deep ecosystem
8
Security
No mentions
SOC2 claimed
SOC2 Type II, ISO 27001
9
Scalability
No enterprise tier
Mid-market ready
Enterprise-grade
10
Brand
Generic, unmemorable
Decent positioning
Strong, differentiated
11
Community
None
Forum / Slack
Active, vibrant community
12
Innovation
No recent releases
Quarterly
Frequent, meaningful
Example completed row (Competitor: Acme Corp, Dimension 3 – UX):
Dimension
Acme Corp Score
Evidence
UX
2
App Store reviews cite "confusing navigation" (38 mentions); onboarding requires 7 steps before TTFV; no onboarding wizard; CC required at signup.
Apply this pattern to all 12 dimensions for each competitor.
Templates
Full template markdown is in references/analysis-templates.md. Abbreviated reference below.
Feature Comparison Matrix
Rows: core features, pricing tiers, platform capabilities (web, iOS, Android, API).
Columns: your product + up to 3 competitors.
Score each cell 1–5. Sum to get total out of 60. Score legend: 5=Best-in-class, 4=Strong, 3=Average, 2=Below average, 1=Weak/Missing
Pricing Analysis
Capture per competitor: model type (per-seat / usage-based / flat rate / freemium), entry/mid/enterprise price points, free trial length.
Summarize: price leader, value leader, premium positioning, your position, and 2–3 pricing opportunity bullets.
SWOT Analysis
For each competitor: 3–5 bullets per quadrant (Strengths, Weaknesses, Opportunities for us, Threats to us). Anchor every bullet to a data signal (review quote, job posting count, pricing page, etc.).
Positioning Map
2x2 axes (e.g., Simple ↔ Complex / Low Value ↔ High Value). Place each competitor and your product. Bubble size = market share or funding. See references/analysis-templates.md for ASCII and editable versions.
UX Audit Checklist
Onboarding: TTFV (minutes), steps to activation, CC-required, onboarding wizard quality.
Key workflows: steps, friction points, comparative score (yours vs. theirs).
Mobile: iOS/Android ratings, feature parity, top complaint and praise.
Navigation: global search, keyboard shortcuts, in-app help.
Manage — Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intel
What If Fails
If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill.