Nexus MCP Server

# Nexus Metrics Tracking and Reporting Framework ## Overview This document establishes a comprehensive framework for tracking, analyzing, and reporting on Nexus adoption, community engagement, and business impact metrics. ## Key Performance Indicators (KPIs) ### Growth Metrics #### Primary Growth KPIs ```yaml Package Adoption: - NPM weekly downloads - NPM monthly downloads - NPM total downloads - Download growth rate (MoM) Repository Engagement: - GitHub stars - GitHub forks - GitHub watchers - Star growth rate (weekly/monthly) Community Size: - Total contributors - Active contributors (monthly) - First-time contributors - Returning contributors ``` #### Secondary Growth KPIs ```yaml Distribution Reach: - CDN usage statistics - Global usage distribution - Platform adoption (Windows/Mac/Linux) - Node.js version distribution Integration Adoption: - MCP client integrations - Custom implementation usage - Enterprise adoption indicators - Partner integration metrics ``` ### Engagement Metrics #### Community Health KPIs ```yaml Issue Management: - Issue response time (median/p90) - Issue resolution time (median/p90) - Open vs closed issue ratio - Issue satisfaction ratings Pull Request Activity: - PR review time (median/p90) - PR merge rate - PR rejection rate with feedback - External contribution rate Community Participation: - GitHub Discussions activity - Comment engagement rate - Question resolution rate - Community self-help rate ``` #### Content Performance KPIs ```yaml Documentation: - Doc page views - Doc search queries - Doc bounce rate - User-reported doc issues Educational Content: - Blog post views/engagement - Video watch time/completion - Tutorial completion rates - Content sharing metrics Social Media: - Follower growth rate - Engagement rate (likes/shares/comments) - Mention sentiment analysis - Reach and impressions ``` ### Quality Metrics #### Technical Quality KPIs ```yaml Reliability: - Error rates in production usage - API response times - Uptime/availability - Performance regression tracking Code Quality: - Test coverage percentage - Static analysis scores - Security audit results - Dependency health scores User Experience: - Setup success rate - Feature adoption rate - User retention (repeat usage) - Support ticket volume/resolution ``` #### User Satisfaction KPIs ```yaml Feedback Metrics: - User satisfaction surveys (NPS) - GitHub issue sentiment - Community forum sentiment - Review ratings (where applicable) Usage Patterns: - Feature utilization rates - Configuration complexity analysis - Error frequency and types - User workflow efficiency ``` ## Data Collection Strategy ### Automated Data Sources #### NPM Registry Analytics ```javascript // NPM download statistics const npmDownloads = { endpoint: 'https://api.npmjs.org/downloads/range/{period}/nexus-mcp', metrics: [ 'daily_downloads', 'weekly_downloads', 'monthly_downloads', 'total_downloads', ], collection_frequency: 'daily', }; ``` #### GitHub API Analytics ```javascript // GitHub repository metrics const githubMetrics = { endpoints: [ '/repos/nexus-mcp/nexus-mcp', '/repos/nexus-mcp/nexus-mcp/traffic/views', '/repos/nexus-mcp/nexus-mcp/traffic/clones', '/repos/nexus-mcp/nexus-mcp/issues', '/repos/nexus-mcp/nexus-mcp/pulls', ], metrics: [ 'stargazers_count', 'forks_count', 'watchers_count', 'traffic_views', 'traffic_clones', 'issue_metrics', 'pr_metrics', ], collection_frequency: 'daily', }; ``` #### Social Media Analytics ```javascript // Social media engagement tracking const socialMetrics = { platforms: ['twitter', 'linkedin', 'dev.to', 'reddit'], metrics: [ 'follower_count', 'engagement_rate', 'reach_impressions', 'mention_sentiment', 'content_performance', ], collection_frequency: 'daily', }; ``` ### Manual Data Collection #### User Feedback Surveys ```yaml Quarterly User Survey: target_audience: Active users (GitHub/NPM) sample_size: 100-200 responses key_questions: - Overall satisfaction (NPS) - Feature usefulness ratings - Pain points and improvement areas - Competitive comparison - Recommendation likelihood Monthly Contributor Survey: target_audience: Contributors and community members sample_size: 20-50 responses key_questions: - Contribution experience satisfaction - Community culture assessment - Documentation quality feedback - Barrier identification - Recognition and motivation ``` #### Usage Analytics ```yaml Application Telemetry: collection_method: Optional opt-in telemetry data_points: - Usage frequency and patterns - Feature utilization rates - Error frequency and types - Performance characteristics - Configuration complexity Integration Analytics: collection_method: Partner/integration feedback data_points: - MCP client compatibility - Integration difficulty assessment - Performance in different environments - Support burden analysis ``` ## Metrics Dashboard Architecture ### Real-Time Dashboard Components #### Executive Summary Dashboard ```yaml Target Audience: Project leads, stakeholders Update Frequency: Daily Key Widgets: - Growth trajectory (downloads, stars) - Community health overview - Quality status indicators - Recent milestone achievements Visualizations: - Time series charts for growth metrics - Health score gauges - Geographic usage maps - Trend indicators and alerts ``` #### Community Dashboard ```yaml Target Audience: Community managers, maintainers Update Frequency: Hourly Key Widgets: - Issue/PR queue status - Community engagement metrics - Response time tracking - Contributor activity feed Visualizations: - Activity timelines - Response time histograms - Engagement heatmaps - Contributor recognition board ``` #### Technical Dashboard ```yaml Target Audience: Engineering team Update Frequency: Real-time Key Widgets: - Build and test status - Performance metrics - Error rate monitoring - Dependency health Visualizations: - Performance graphs - Error rate charts - Build success rates - Security status indicators ``` ### Reporting Infrastructure #### Data Pipeline Architecture ```yaml Data Collection Layer: - API integrations (GitHub, NPM, social) - Webhook receivers - Manual data entry forms - Telemetry collection endpoints Data Processing Layer: - ETL pipelines for data transformation - Data validation and cleaning - Metric calculation engines - Anomaly detection systems Data Storage Layer: - Time-series database for metrics - Relational database for metadata - File storage for reports - Backup and archival systems Visualization Layer: - Real-time dashboard applications - Report generation tools - Alert and notification systems - Public metrics displays ``` ## Reporting Schedule ### Daily Reports ```yaml Automated Daily Summary: recipients: Core team content: - Download statistics - GitHub activity summary - Issue/PR status updates - Performance alerts Format: Email digest + Slack notification Delivery Time: 9:00 AM UTC ``` ### Weekly Reports ```yaml Community Health Report: recipients: Community team + stakeholders content: - Weekly growth summary - Community engagement analysis - Content performance review - Upcoming milestone tracking Format: Detailed report + dashboard link Delivery Time: Monday 10:00 AM UTC ``` ### Monthly Reports ```yaml Executive Monthly Review: recipients: All stakeholders content: - Monthly growth analysis - Goal achievement assessment - Community milestone highlights - Strategic recommendation summary Format: Comprehensive report with visualizations Delivery Time: First Monday of each month Technical Quality Report: recipients: Engineering team + leads content: - Code quality metrics - Performance analysis - Security assessment - Technical debt evaluation Format: Technical report with action items Delivery Time: Last Friday of each month ``` ### Quarterly Reports ```yaml Strategic Business Review: recipients: Leadership team content: - Quarterly goal achievement - Market position analysis - Competitive landscape review - Strategic recommendations Format: Executive presentation + detailed appendix Delivery Time: Second week of quarter Community Impact Report: recipients: Community + public content: - Community growth celebration - Contributor recognition - Major milestone achievements - Roadmap progress updates Format: Public blog post + infographics Delivery Time: Third week of quarter ``` ## Alert and Notification Framework ### Performance Alerts ```yaml Critical Alerts: - Download decline > 20% week-over-week - GitHub star growth stagnation > 30 days - Issue response time > 48 hours - Critical bug reports Warning Alerts: - Download decline > 10% week-over-week - Community engagement decline > 15% - Documentation access issues - Performance degradation Delivery Method: Slack + Email to on-call team ``` ### Growth Milestone Alerts ```yaml Achievement Notifications: - NPM download milestones (10K, 50K, 100K weekly) - GitHub star milestones (500, 1K, 2.5K, 5K) - Contributor milestones (10, 25, 50, 100) - Community size milestones Celebration Actions: - Social media announcements - Community thank you posts - Contributor recognition updates - Internal team celebrations Delivery Method: Slack celebration + social media ``` ## Data Privacy and Compliance ### Privacy Guidelines ```yaml User Data Protection: - Opt-in only for detailed telemetry - Anonymization of personal data - GDPR compliance for EU users - Clear privacy policy communication Data Retention: - Aggregate metrics: Indefinite - Individual usage data: 12 months - Personal feedback: 24 months - Log data: 90 days Access Controls: - Role-based dashboard access - Audit logging for data access - Regular access review cycles - Secure data transmission ``` ## Success Targets and Benchmarks ### 6-Month Targets ```yaml Growth Targets: - NPM weekly downloads: 10,000+ - GitHub stars: 1,000+ - Active contributors: 25+ - Community discussions: 100+ Quality Targets: - Issue response time: <24 hours median - Test coverage: >90 - User satisfaction: NPS >50 - Documentation coverage: 100% of public APIs Engagement Targets: - Monthly blog posts: 2+ - Conference presentations: 4+ - Partnership integrations: 3+ - Community events: 6+ ``` ### 12-Month Targets ```yaml Growth Targets: - NPM weekly downloads: 50,000+ - GitHub stars: 2,500+ - Active contributors: 75+ - MCP ecosystem integration: Top 3 Market Position Targets: - Industry recognition: 2+ awards/mentions - Conference speaking: 8+ presentations - Partnership network: 10+ integrations - Thought leadership: Regular publication features ``` ## Continuous Improvement Process ### Monthly Metrics Review ```yaml Review Process: 1. Data collection and validation 2. Trend analysis and interpretation 3. Goal progress assessment 4. Action item identification 5. Strategy adjustment recommendations Participants: - Project leads - Community managers - Engineering leads - Marketing coordinators Outcomes: - Monthly strategy adjustments - Resource allocation decisions - Goal refinement - Process improvements ``` ### Quarterly Strategy Assessment ```yaml Assessment Focus: - KPI effectiveness evaluation - Target achievement analysis - Market condition adaptation - Competitive position review Strategic Adjustments: - Goal modification based on learnings - Resource reallocation decisions - New opportunity identification - Risk mitigation planning Documentation: - Strategy update documents - Goal revision rationale - Success story compilation - Lesson learned documentation ``` --- _This metrics framework will be implemented gradually, with core metrics established first and advanced analytics added as the community grows._