Skip to content

SkillMeat Beta Program Plan

Objectives

The SkillMeat closed beta program validates real-world usage before general availability release.

  1. Validate Real-World Usage Patterns: Confirm expected workflows align with actual usage
  2. Identify Critical Bugs: Discover P0/P1 bugs before GA release
  3. Gather UX/DX Feedback: Understand pain points and friction in user experience
  4. Verify Cross-Platform Compatibility: Test macOS, Linux, and Windows thoroughly
  5. Validate Documentation Completeness: Ensure docs answer real user questions
  6. Test Performance at Scale: Validate collection management with large artifact sets

Timeline

  • Week 1: Beta invitations sent, participant onboarding, environment setup
  • Week 2-3: Active usage period, daily issue monitoring, rapid bug fixes
  • Week 4: Feedback collection sprint, survey completion, detailed analysis
  • Week 5: Critical bug fixes, documentation updates based on feedback
  • Week 6: Final validation, metrics review, GA release readiness assessment

Participant Selection

Target 20-30 beta testers across roles and platforms for diverse feedback.

By Role

  • Skill Developers (40%, ~8-12 participants): Create and share skills, test marketplace integration
  • Team Leads (30%, ~6-9 participants): Manage team collections, test sharing and collaboration
  • Individual Users (30%, ~6-9 participants): Personal productivity use, general workflows

By Platform

  • macOS: 40% (~8-12 participants) - Xcode workflows, homebrew integration
  • Linux: 30% (~6-9 participants) - Docker workflows, server deployments
  • Windows: 30% (~6-9 participants) - WSL, PowerShell workflows, path handling

Success Criteria

All criteria must be met for GA readiness:

  • [ ] 80% Participant Completion: At least 80% of invitees complete beta activities (setup + 1 week usage)
  • [ ] 4+ Average Satisfaction: Average satisfaction rating ≥4/5 across all categories
  • [ ] Zero Critical Bugs: All P0/P1 bugs resolved before GA
  • [ ] Documentation Rating: Documentation clarity rating ≥4/5 from participants
  • [ ] Feedback Processing: 100% of feedback categorized, triaged, and addressed
  • [ ] Cross-Platform Stability: Zero platform-specific crashes or failures
  • [ ] Performance Baseline: API response times within 100ms (P95)

Feedback Channels

Multiple channels for diverse communication preferences:

Asynchronous

  • GitHub Discussions: https://github.com/skillmeat/skillmeat/discussions/beta
  • Use for questions, bugs, feature requests
  • Searchable archive for future reference

  • Automatic notification threading

  • In-App Feedback: skillmeat feedback "Your message here"

  • Direct integration with telemetry system
  • Includes system context automatically
  • Prioritized in support queue

Synchronous

  • Weekly Office Hours: Thursdays 2-3pm PT (Zoom link provided)
  • Real-time troubleshooting and discussion
  • Live demo of unreleased features
  • Direct access to engineering team

Structured Feedback

  • Beta Feedback Form: https://forms.skillmeat.dev/beta (responses stored as JSON)
  • Post-Beta Survey: Detailed 10-minute survey at program end
  • Usage Telemetry: Automatic metrics collection (opt-in)

Metrics and Monitoring

Engagement Metrics

  • Daily active users (DAU)
  • Average session duration
  • Features tested (%)
  • Commands executed per user
  • Collection size distribution

Quality Metrics

  • Error rate by endpoint
  • API response times (P50, P95, P99)
  • Failed operations by type
  • Crash reports and stack traces
  • Documentation lookup frequency

Satisfaction Metrics

  • NPS (Net Promoter Score) at program end
  • Feature satisfaction ratings
  • Documentation clarity scores
  • Installation difficulty scores

Incentives

Beta participants receive:

  1. Early Access: v1.0 release 2 weeks before GA
  2. Beta Contributor Badge: Special badge on marketplace profile
  3. Release Notes Credit: Name/org listed as beta contributor
  4. Swag Pack (optional): SkillMeat t-shirt, stickers, and mug
  5. Priority Support: 24-hour response SLA during beta

Participant Responsibilities

Beta participants agree to:

  • Install and test core features (minimum 1 week)
  • Report issues with sufficient detail for reproduction
  • Provide feedback via surveys and discussions
  • Respect confidentiality of unreleased features
  • Give honest feedback even if critical

Communication Plan

Pre-Beta (1 week before)

  1. Send invitation email with beta signup link
  2. Post launch announcement in relevant communities
  3. Prepare Slack channel for real-time discussion

Week 1

  1. Welcome email with setup instructions
  2. Onboarding guide and success metrics
  3. First office hours session (orientation + Q&A)

Week 2-4

  1. Daily digest of reported issues (for internal team)
  2. Weekly email updates on progress/fixes
  3. Mid-beta survey check-in (day 10)

Week 5

  1. Critical bug fix updates
  2. Feature status updates
  3. Final week push for feedback collection

Week 6+

  1. Thank you email and incentives confirmation
  2. Post-beta survey final reminder
  3. Public beta retrospective blog post

Beta Boundaries

In Scope

  • All stable features from Phases 0-4
  • CLI commands, web interface, team sharing
  • MCP server management and health checks
  • Marketplace search and installation
  • Collection export/import

Out of Scope

  • Unreleased Phase 5 features (dashboard, advanced analytics)
  • Internal admin tools
  • Enterprise features (SAML, custom branding)
  • Performance optimizations not affecting correctness
  • Cosmetic UI improvements

Risk Mitigation

Risk Impact Mitigation
Low participation (<15 testers) Invalid feedback Targeted recruitment in 3 communities
P0 bugs in production Reputation damage Daily triage, 4-hour fix SLA for P0
Platform-specific issues Incomplete coverage 30% Windows allocation for regression testing
Feedback overload Missed insights Structured form + priority tagging system
Participant churn Incomplete data 1-on-1 check-ins with inactive users

Success Definition

Beta program is successful when:

  1. Metrics: 80% completion, 4+ satisfaction, zero P0 bugs
  2. Quality: All critical issues resolved, documentation validated
  3. Confidence: Engineering team confident in GA release
  4. Velocity: Demonstrated ability to iterate on feedback rapidly
  5. Documentation: Real-world feedback incorporated into final docs

Files Needed

  • Beta program plan (this document)
  • Beta onboarding guide
  • Feedback collection form
  • Feedback analysis script
  • Participant invitation email template
  • Post-beta survey
  • Support guide for beta team
  • Telemetry dashboard configuration