67f3922e4f
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>
105 lines
4.9 KiB
Markdown
105 lines
4.9 KiB
Markdown
# Competitive Data Collection Guide
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## Overview
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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.
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## Public Data Sources
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### Review Platforms
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- **G2**: Enterprise software reviews, feature comparisons, satisfaction scores
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- **Capterra**: SMB-focused reviews, pricing transparency, deployment details
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- **TrustRadius**: In-depth reviews with verified users, TrustMaps
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- **Product Hunt**: Launch positioning, early adopter sentiment, feature highlights
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- **App Store / Google Play**: Mobile app ratings, review themes, update frequency
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### Company Publications
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- **Pricing Pages**: Tier structure, feature gating, enterprise vs self-serve
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- **Changelogs / Release Notes**: Development velocity, feature priorities, tech direction
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- **Blog Posts**: Strategic messaging, thought leadership topics, market positioning
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- **Case Studies**: Target customer profiles, value propositions, success metrics
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- **Help Documentation**: Feature depth, API capabilities, integration ecosystem
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### Talent & Organization Signals
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- **Job Postings**: Technology stack, team growth areas, strategic initiatives
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- **LinkedIn**: Team size, org structure, key hires, department ratios
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- **Glassdoor**: Company culture, internal challenges, growth trajectory
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### Financial & Legal
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- **Patent Filings**: Innovation direction, defensive IP, technology differentiation
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- **SEC Filings (public companies)**: Revenue, growth rate, customer count, churn
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- **Crunchbase / PitchBook**: Funding rounds, investors, valuation trends
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### Technical Intelligence
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- **BuiltWith / Wappalyzer**: Technology stack detection
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- **GitHub**: Open-source contributions, SDK quality, developer engagement
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- **API Documentation**: Integration capabilities, rate limits, data models
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- **Status Pages**: Uptime history, incident frequency, infrastructure maturity
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## Data Points to Collect Per Competitor
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### Product
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- Core features and capabilities (feature-by-feature matrix)
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- Unique differentiators and proprietary technology
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- Platform support (web, mobile, desktop, API)
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- Integration ecosystem (number and quality of integrations)
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- Performance benchmarks (if available from reviews)
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### Business
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- Pricing tiers and per-seat/usage costs
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- Target customer segments (SMB, mid-market, enterprise)
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- Estimated customer count and notable logos
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- Geographic focus and localization
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- Go-to-market model (PLG, sales-led, hybrid)
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### Team & Technology
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- Estimated team size and engineering ratio
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- Technology stack and infrastructure choices
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- Development velocity (release frequency)
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- Open-source involvement and developer relations
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### Market Position
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- Market share estimates
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- Brand perception and NPS (from reviews)
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- Analyst coverage (Gartner, Forrester positioning)
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- Partnership and channel strategy
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## Ethical Guidelines
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1. **Use only public information** - Never access private systems, NDA-protected content, or internal documents
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2. **No deception** - Do not misrepresent yourself to obtain information (e.g., fake sales inquiries)
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3. **Respect terms of service** - Follow scraping policies and API usage terms
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4. **Attribute sources** - Document where each data point came from for verification
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5. **No employee poaching for intelligence** - Hiring decisions should be talent-driven, not intelligence-driven
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6. **Legal compliance** - Ensure data collection complies with local regulations
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## Update Cadence Recommendations
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| Data Type | Frequency | Trigger Events |
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|-----------|-----------|---------------|
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| Pricing | Monthly | Competitor pricing page changes |
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| Features | Bi-weekly | Changelog updates, product launches |
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| Reviews | Monthly | Batch review analysis |
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| Job Postings | Monthly | Hiring surge detection |
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| Financials | Quarterly | Earnings reports, funding rounds |
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| Tech Stack | Quarterly | Major platform changes |
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| Full Teardown | Quarterly | Strategic planning cycles |
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## Collection Workflow
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1. **Set up monitoring** - Google Alerts, competitor RSS feeds, social listening
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2. **Schedule regular sweeps** - Calendar recurring data collection tasks
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3. **Centralize data** - Use a shared competitive intelligence database or spreadsheet
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4. **Validate findings** - Cross-reference multiple sources for accuracy
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5. **Tag and categorize** - Apply consistent taxonomy for easy retrieval
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6. **Share insights** - Distribute relevant findings to product, sales, and marketing teams
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7. **Archive versions** - Maintain historical snapshots for trend analysis
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## Tools for Automation
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- **Google Alerts**: Free monitoring for competitor mentions
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- **Visualping**: Website change detection (pricing pages, feature pages)
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- **Feedly**: RSS aggregation for competitor blogs and news
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- **SimilarWeb**: Traffic estimates and audience overlap
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- **SEMrush / Ahrefs**: SEO positioning and content strategy analysis
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