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Beta Program Support Guide

For SkillMeat beta program administrators and support team.

Overview

This guide provides operational procedures for running the SkillMeat closed beta program, managing participant communications, and responding to feedback and issues.

Support Team Roles: - Program Manager: Oversees timeline, participant management, communications - Developer Relations: Hosts office hours, responds to questions in discussions - Engineering: Triages bugs, implements fixes, updates participants on progress - Documentation: Updates docs based on feedback, clarifies unclear areas

Participant Management

Adding Participants

Process for enrolling new beta participants:

  1. Recruitment
  2. Target 20-30 participants across roles and platforms
  3. Use invite tracking spreadsheet (shared in Slack)

  4. Diversity matters: 40% skill developers, 30% team leads, 30% individual users

  5. Invitation

  6. Send from: beta-program@skillmeat.dev
  7. Template: docs/user/beta/participant-invitation-email.md
  8. Include personalized greeting when possible

  9. Set expectations clearly (2-week active testing, 10-15 min/day commitment)

  10. Enrollment

  11. Participant completes signup form (Google Form link in email)
  12. Add to beta participants database (Airtable)
  13. Add to Slack channel (#skillmeat-beta)
  14. Confirm receipt of onboarding materials

Tracking Participant Status

Use shared Airtable base: SkillMeat Beta Participants

Columns to maintain: - Name, Email, Organization, Role, Platform - Signup date, Installation date, Last active date - Status (Onboarded, Active, Inactive, Churned) - Feedback submitted (Yes/No), Survey complete (Yes/No) - Notes (issues encountered, special requests, etc.)

Weekly status review: - Mark inactive participants (no activity 3+ days) - Send gentle re-engagement message to inactive users - Update status before weekly standup

Daily Tasks (30 min)

Perform these every working day during beta period:

  • [ ] Check Telemetry Dashboard (5 min)
  • Review Overview dashboard for anomalies
  • Check error rate spike, any P0 alerts?

  • Note DAU and overall health status

  • [ ] Monitor GitHub Discussions (10 min)

  • Sort by recent activity
  • Read new issues/questions (filter: is:open label:beta-feedback)
  • Mark critical issues with priority-high

  • Acknowledge all new issues with template response

  • [ ] Review Slack #skillmeat-beta (10 min)

  • Read new messages
  • Answer questions (or tag appropriate team member)

  • Note recurring issues for discussion

  • [ ] Check Support Email (5 min)

  • Inbox: beta-support@skillmeat.dev
  • Respond to issues within 24 hours
  • Forward bugs to #skillmeat-dev for triage

Weekly Tasks (2 hours)

Perform these weekly (typically Monday morning):

1. Participant Engagement Check (30 min)

# Run Airtable query to check status
airtable view "Beta Participants" filter "Last active < 3 days"

Actions: - For inactive >3 days: Send re-engagement message via Slack - "Hi [name]! Haven't heard from you in a few days. Any blockers or issues?" - Offer help session or pair debugging

  • For inactive >7 days: Schedule 1-on-1 call
  • "Would love to chat about your experience so far"
  • Identify blockers and address them

  • Offer incentives for completion (swag, early access, etc.)

  • For churned participants: Send exit survey

  • "We noticed you've stepped back. Quick feedback on why?"
  • Link to short 2-minute survey

2. Feedback Collection and Triage (45 min)

Process: 1. Download new feedback from Google Forms 2. Export to CSV: feedback_YYYY-MM-DD.csv 3. Upload to shared folder: /feedback/raw/ 4. Parse into JSON format: 

{
  "participant_id": "user123",
  "submitted_at": "2024-11-21T14:30:00Z",
  "platform": "macos",
  "role": "skill_developer",
  "satisfaction_ratings": { ... },
  "bugs": [ ... ],
  "feature_requests": [ ... ]
}
5. Store in docs/user/beta/feedback/ directory 6. Run analysis script: python scripts/analyze_beta_feedback.py

Triage bugs: - Assign severity (P0/P1/P2/P3) - Assign to engineer - Create GitHub issue if not already filed - Update issue label with beta-feedback

Triage features: - Assign priority (High/Medium/Low) - Discuss in weekly planning meeting - Respond to participant with status

3. Weekly Office Hours (30 min)

Schedule: Thursday 2-3pm PT

Preparation: 1. Prepare agenda (email to team 24 hours before) 2. Create Zoom link and send to participants (in advance) 3. Prepare demo of any new fixes or features 4. Have top 3 issues ready to discuss

Facilitation: - Welcome and thanks (~1 min) - Quick wins/updates from engineering (~5 min) - Q&A from participants (~15 min) - Feature demo or deep dive (~7 min) - Ask for feedback and sign off (~2 min)

Recording: - Record and upload to shared drive - Post link in #skillmeat-beta Slack - Create transcript for accessibility

4. Weekly Status Report (15 min)

Draft weekly email to participants (send Thursday EOD):

Subject: SkillMeat Beta Week 2 Update

Hi everyone,

Great progress this week! Here's what happened:

**Metrics**
- DAU: 24/28 (85%)
- Avg satisfaction: 4.2/5
- New bugs reported: 3 (all triaged and assigned)

**Accomplishments**
- Fixed CLI color output issue on Windows
- Added batch import feature requested by 3+ participants
- Updated documentation on MCP setup

**In Progress**
- Working on slow export performance issue
- Improving error messages (top feedback item)
- Marketplace search optimization

**Coming Next**
- Team collaboration improvements (2 participants requested)
- Better progress reporting in web UI
- Documentation refresh based on questions

**Known Issues**
- Windows path handling in some edge cases (P2 - workaround available)
- Marketplace search showing stale results (P1 - fix in progress)

**Next Office Hours**
Thursday 2-3pm PT - See you there!

Thanks for your feedback and testing,
SkillMeat Team

Responding to Feedback

Bug Report Response Template

Initial acknowledgment (within 24 hours): 

Thanks for reporting this! We've received your report:

**Issue**: [Brief title]
**Severity**: [P0/P1/P2/P3]
**Status**: Triaged and assigned

We'll keep you updated on progress. If you have a workaround in the meantime,
feel free to use it.

Progress update (if bug not fixed within 48 hours): 

**Update on [Issue]**

We're actively working on this. Engineering says [brief status].

ETA: [fixed by Friday / early next week / not clear yet]

Thanks for your patience!

Resolution notification: 

**FIXED: [Issue]**

Good news! We've fixed this issue. It's available in the latest build.

To update: `pip install --upgrade skillmeat`

Please test and let us know if it resolves your issue. If you hit any problems,
reply to this thread.

Feature Request Response Template

High Priority Requests: 

Great idea! We've added this to our roadmap for [version/timeline].

**Use case**: [Summarize why this matters]
**Priority**: High
**Target release**: [timeframe]

We'll keep you in the loop on progress.

Medium/Low Priority Requests: 

Thanks for the suggestion. We've added this to our backlog.

**Why this matters**: [Summarize use case]
**Priority**: [Medium/Low]
**Next review**: [timeframe]

We'll revisit prioritization after gathering more feedback from participants.

Documentation Issues Response

Thanks for pointing this out! You're right - [description of issue].

**What we'll fix**: [List items to clarify]
**Timeline**: Updated by [day]
**Affected docs**: [List pages]

We appreciate you catching this!

Escalation Procedures

P0 Bug Escalation

Immediate actions: 1. Page on-call engineer right away (Slack message) 2. Post in #skillmeat-dev channel 3. Create high-priority GitHub issue 4. Update all participants about issue

Communication to participants: 

[ALERT] Service Issue

We've identified an issue affecting [feature].

Status: Engineers investigating
ETA: Fix within [timeframe]

Workaround: [if available]

We'll update you every 30 minutes.

P1 Bug Escalation

Daily standup item: 1. Add to engineering daily standup 2. Ensure engineer assigned and making progress 3. Check daily for status updates 4. Communicate progress to reporter

Feature Request Escalation

Weekly planning meeting: 1. Compile all feature requests by frequency 2. Discuss priority with product/engineering 3. Decide on roadmap impact 4. Communicate decisions to participants

Issue Triage Matrix

Severity Criteria Response SLA Fix SLA Resolution
P0 Crash, data loss, security 15 min 4 hours Hotfix release
P1 Core feature broken, impacts 5+ users 1 hour 24 hours Next release
P2 Feature works with workaround 4 hours 1 week Planned release
P3 Minor issue, cosmetic problem 24 hours 2+ weeks Future release

Communication Channels Management

GitHub Discussions

  • Moderation: Remove off-topic or duplicate discussions
  • Labeling: Tag by category (bug, feature-request, question, feedback)
  • Pinning: Pin frequently asked questions
  • Response time: 24 hours for new threads

Slack (#skillmeat-beta)

  • Purpose: Real-time chat, quick questions
  • Response time: 4 business hours (best effort same-day)
  • Guidelines: Pin important announcements, use threads for discussions
  • Moderation: Remove spam, keep on-topic

Email (beta-support@skillmeat.dev)

  • Response time: 24 hours
  • Process: Forward bugs to GitHub, document in Airtable
  • Archive: All responses stored for audit trail

Office Hours

  • Schedule: Thursday 2-3pm PT (fixed, no changes)
  • Attendance: Optional but encouraged
  • Recording: Always recorded and available
  • Agenda: Shared in advance

Metrics to Track

Daily metrics: - DAU (daily active users) - Error rate (%) - P0 bugs (open count)

Weekly metrics: - Completion rate (% participants still active) - Average satisfaction rating - New bugs reported - Feature requests - Participant retention by day

End of beta: - NPS (Net Promoter Score) - Overall satisfaction (1-5 scale) - Documentation clarity rating - Platform-specific issues - Blocker bugs (all should be 0)

Tools and Access

Required access: - beta-program@skillmeat.dev email account - Airtable base (beta participants database) - Google Forms (feedback collection) - GitHub repo (issues, discussions) - Slack #skillmeat-beta and #skillmeat-dev - Grafana telemetry dashboard - Loki logs (for debugging)

Useful commands: 

# Analyze latest feedback
python scripts/analyze_beta_feedback.py

# Check telemetry for specific participant
curl http://localhost:9090/api/v1/query?query=participant_id%3D%22abc123%22

# Export participants list
airtable export beta-participants.csv

Escalation Chain

For issues requiring immediate attention:

  1. On-call Engineer (P0 bugs)
  2. Contact via Slack immediately

  3. Provide error logs and reproduction steps

  4. Engineering Manager (Blocked progress, scope changes)

  5. Daily standup discussion

  6. Prioritization decisions

  7. Product Manager (Major feedback themes, roadmap impacts)

  8. Weekly planning meeting

  9. Strategic decisions

  10. Program Manager (Participant churn, timeline risks)

  11. Immediate discussion
  12. Contingency planning

Weekly Beta Standup Template

When: Monday 10am PT

Attendees: Program Manager, Engineering Lead, Dev Rel, Product Lead

Agenda (30 min total):

  1. Metrics Review (5 min)
  2. DAU, satisfaction, completion rate

  3. Any anomalies or concerning trends?

  4. Issue Triage (10 min)

  5. New P0/P1 bugs
  6. Unassigned critical issues

  7. Resolution status of blockers

  8. Feedback Themes (5 min)

  9. Most common issues reported
  10. Most requested features

  11. Documentation gaps

  12. This Week's Plan (5 min)

  13. Engineering priorities
  14. Who's working on what

  15. Expected resolutions

  16. Participant Management (5 min)

  17. Churn rate
  18. Engagement status
  19. Follow-ups needed

Documentation Updates

When beta participants identify issues with docs:

  1. Immediately: Acknowledge the issue
  2. Within 24 hours: Update docs with clarification
  3. Add note: "Updated [date] based on beta feedback"
  4. Notify participant: "Docs updated - thanks again!"

End-of-Beta Procedures

Week 6 activities:

  1. Final Metrics Review
  2. Compare actual metrics against targets

  3. Identify any gaps for GA

  4. Bug Triage

  5. All P0/P1 bugs must be fixed

  6. Create post-GA backlog for P2/P3

  7. Feature Feedback Summary

  8. Compile most-requested features
  9. Make prioritization decisions

  10. Communicate plan to participants

  11. Thank You

  12. Send personalized thank you emails
  13. Confirm swag/incentives shipping

  14. Share release notes credit

  15. Retrospective

  16. Conduct team retrospective
  17. What worked well?
  18. What to improve for next beta?
  19. Lessons learned document

Participant Thank You Process

Send after program ends:

Subject: Thank You for Making SkillMeat Better

Dear [name],

Thank you for participating in the SkillMeat closed beta! Your feedback was
invaluable and directly shaped the final product.

**Your Impact:**
- Reported [X] issues, [Y] of which we fixed
- Suggested [Z] features, [A] of which we implemented
- Helped validate [feature] across [platform]

**Rewards**
- [ ] Early access code for v1.0 (expires [date])
- [ ] Swag shipped to [address] (tracking: [number])
- [ ] Special beta contributor badge now active on your profile
- [ ] Your name in v1.0 release notes

**GA Release**
v1.0 launches publicly on [date]. We hope you'll continue using SkillMeat!

Thanks again for believing in us from the beginning.

Best,
SkillMeat Team

Questions about beta support? Post in #skillmeat-internal or contact Program Manager.