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Phase 1 — Agent & Command Foundation: - Rewrite cs-project-manager agent (55→515 lines, 4 workflows, 6 skill integrations) - Expand cs-product-manager agent (408→684 lines, orchestrates all 8 product skills) - Add 7 slash commands: /rice, /okr, /persona, /user-story, /sprint-health, /project-health, /retro Phase 2 — Script Gap Closure (2,779 lines): - jira-expert: jql_query_builder.py (22 patterns), workflow_validator.py - confluence-expert: space_structure_generator.py, content_audit_analyzer.py - atlassian-admin: permission_audit_tool.py - atlassian-templates: template_scaffolder.py (Confluence XHTML generation) Phase 3 — Reference & Asset Enrichment: - 9 product references (competitive-teardown, landing-page-generator, saas-scaffolder) - 6 PM references (confluence-expert, atlassian-admin, atlassian-templates) - 7 product assets (templates for PRD, RICE, sprint, stories, OKR, research, design system) - 1 PM asset (permission_scheme_template.json) Phase 4 — New Agents: - cs-agile-product-owner, cs-product-strategist, cs-ux-researcher Phase 5 — Integration & Polish: - Related Skills cross-references in 8 SKILL.md files - Updated product-team/CLAUDE.md (5→8 skills, 6→9 tools, 4 agents, 5 commands) - Updated project-management/CLAUDE.md (0→12 scripts, 3 commands) - Regenerated docs site (177 pages), updated homepage and getting-started Quality audit: 31 files reviewed, 29 PASS, 2 fixed (copy-frameworks.md, governance-framework.md) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Competitive Data Collection Guide
Overview
This guide outlines systematic approaches for gathering competitive intelligence from publicly available sources. All methods described here are ethical and rely on information that competitors have made publicly accessible.
Public Data Sources
Review Platforms
- G2: Enterprise software reviews, feature comparisons, satisfaction scores
- Capterra: SMB-focused reviews, pricing transparency, deployment details
- TrustRadius: In-depth reviews with verified users, TrustMaps
- Product Hunt: Launch positioning, early adopter sentiment, feature highlights
- App Store / Google Play: Mobile app ratings, review themes, update frequency
Company Publications
- Pricing Pages: Tier structure, feature gating, enterprise vs self-serve
- Changelogs / Release Notes: Development velocity, feature priorities, tech direction
- Blog Posts: Strategic messaging, thought leadership topics, market positioning
- Case Studies: Target customer profiles, value propositions, success metrics
- Help Documentation: Feature depth, API capabilities, integration ecosystem
Talent & Organization Signals
- Job Postings: Technology stack, team growth areas, strategic initiatives
- LinkedIn: Team size, org structure, key hires, department ratios
- Glassdoor: Company culture, internal challenges, growth trajectory
Financial & Legal
- Patent Filings: Innovation direction, defensive IP, technology differentiation
- SEC Filings (public companies): Revenue, growth rate, customer count, churn
- Crunchbase / PitchBook: Funding rounds, investors, valuation trends
Technical Intelligence
- BuiltWith / Wappalyzer: Technology stack detection
- GitHub: Open-source contributions, SDK quality, developer engagement
- API Documentation: Integration capabilities, rate limits, data models
- Status Pages: Uptime history, incident frequency, infrastructure maturity
Data Points to Collect Per Competitor
Product
- Core features and capabilities (feature-by-feature matrix)
- Unique differentiators and proprietary technology
- Platform support (web, mobile, desktop, API)
- Integration ecosystem (number and quality of integrations)
- Performance benchmarks (if available from reviews)
Business
- Pricing tiers and per-seat/usage costs
- Target customer segments (SMB, mid-market, enterprise)
- Estimated customer count and notable logos
- Geographic focus and localization
- Go-to-market model (PLG, sales-led, hybrid)
Team & Technology
- Estimated team size and engineering ratio
- Technology stack and infrastructure choices
- Development velocity (release frequency)
- Open-source involvement and developer relations
Market Position
- Market share estimates
- Brand perception and NPS (from reviews)
- Analyst coverage (Gartner, Forrester positioning)
- Partnership and channel strategy
Ethical Guidelines
- Use only public information - Never access private systems, NDA-protected content, or internal documents
- No deception - Do not misrepresent yourself to obtain information (e.g., fake sales inquiries)
- Respect terms of service - Follow scraping policies and API usage terms
- Attribute sources - Document where each data point came from for verification
- No employee poaching for intelligence - Hiring decisions should be talent-driven, not intelligence-driven
- Legal compliance - Ensure data collection complies with local regulations
Update Cadence Recommendations
| Data Type | Frequency | Trigger Events |
|---|---|---|
| Pricing | Monthly | Competitor pricing page changes |
| Features | Bi-weekly | Changelog updates, product launches |
| Reviews | Monthly | Batch review analysis |
| Job Postings | Monthly | Hiring surge detection |
| Financials | Quarterly | Earnings reports, funding rounds |
| Tech Stack | Quarterly | Major platform changes |
| Full Teardown | Quarterly | Strategic planning cycles |
Collection Workflow
- Set up monitoring - Google Alerts, competitor RSS feeds, social listening
- Schedule regular sweeps - Calendar recurring data collection tasks
- Centralize data - Use a shared competitive intelligence database or spreadsheet
- Validate findings - Cross-reference multiple sources for accuracy
- Tag and categorize - Apply consistent taxonomy for easy retrieval
- Share insights - Distribute relevant findings to product, sales, and marketing teams
- Archive versions - Maintain historical snapshots for trend analysis
Tools for Automation
- Google Alerts: Free monitoring for competitor mentions
- Visualping: Website change detection (pricing pages, feature pages)
- Feedly: RSS aggregation for competitor blogs and news
- SimilarWeb: Traffic estimates and audience overlap
- SEMrush / Ahrefs: SEO positioning and content strategy analysis