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SkillMeat Post-Beta Survey

Duration: 10-12 minutes Deadline: End of Week 6 Completion Link: https://forms.skillmeat.dev/post-beta


Section 1: Thank You & Context

Title: SkillMeat Post-Beta Survey

Intro Text:

Thank you for participating in the SkillMeat closed beta! Your feedback has been invaluable in helping us prepare for general availability.

This final survey captures your overall experience and helps us understand what worked, what needs improvement, and whether SkillMeat is ready for GA release.

Estimated Time: 10-12 minutes


Section 2: Overall Impression (2 min)

Question 1: First Impressions

"When you first started using SkillMeat, how would you describe your experience?"

  • [ ] Exceeds expectations - was immediately impressed
  • [ ] Meets expectations - works as advertised
  • [ ] Below expectations - has rough edges
  • [ ] Falls short - significant issues or gaps
  • [ ] Undecided - need more time to form opinion

Comment (optional): [textarea]

Question 2: Overall Recommendation

"How likely are you to recommend SkillMeat to other developers?"

NPS Scale: 0 ☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5 ☐ 6 ☐ 7 ☐ 8 ☐ 9 ☐ 10 ☐

0 = Not at all likely 10 = Extremely likely

Why did you choose that score? [textarea]


Section 3: Feature Satisfaction (3 min)

Question 3: Feature Usage and Satisfaction

Rate each feature you tried:

Feature Tried Satisfaction Would Miss It
CLI Commands (add, remove, list, etc.) Yes/No 1-5 Yes/No
Web Interface (browser-based management) Yes/No 1-5 Yes/No
Team Sharing (export/import bundles) Yes/No 1-5 Yes/No
MCP Management (deploy, health check) Yes/No 1-5 Yes/No
Marketplace Integration (search, install) Yes/No 1-5 Yes/No
Version Management (tracking versions) Yes/No 1-5 Yes/No
Configuration Management Yes/No 1-5 Yes/No

Question 4: Most Valuable Feature

"Which single feature provided the most value to you?"

[ ] CLI Commands [ ] Web Interface [ ] Team Sharing [ ] MCP Management [ ] Marketplace Integration [ ] Version Management [ ] Configuration Management [ ] Other: ___


Section 4: User Experience (2 min)

Question 5: Ease of Use

Aspect Easy Neutral Difficult
Installation [ ] [ ] [ ]
Initial Setup [ ] [ ] [ ]
Learning the CLI [ ] [ ] [ ]
Using Web Interface [ ] [ ] [ ]
Team Collaboration Features [ ] [ ] [ ]

Question 6: Documentation Quality

"How helpful were the SkillMeat docs?"

  • [ ] Excellent - clear, complete, easy to follow
  • [ ] Good - answered most questions
  • [ ] Fair - some gaps or unclear sections
  • [ ] Poor - missing important information
  • [ ] Very Poor - unhelpful or misleading

Specific doc issues? [textarea]

Question 7: Error Messages

"When something went wrong, were error messages helpful?"

  • [ ] Always clear and actionable
  • [ ] Usually helpful
  • [ ] Sometimes unclear
  • [ ] Often confusing
  • [ ] Rarely helpful

Examples of confusing errors? [textarea]


Section 5: Performance & Reliability (2 min)

Question 8: Performance

"How would you rate SkillMeat's performance?"

Aspect Excellent Good Fair Poor
Installation Speed [ ] [ ] [ ] [ ]
Command Execution [ ] [ ] [ ] [ ]
Web Interface Responsiveness [ ] [ ] [ ] [ ]
Bundle Import/Export [ ] [ ] [ ] [ ]

Question 9: Reliability

"During your testing, did you encounter:"

  • [ ] No crashes or data loss
  • [ ] Minor issues but everything stable
  • [ ] A few crashes but recovered
  • [ ] Frequent crashes or data issues
  • [ ] Serious reliability problems

Details if applicable: [textarea]


Section 6: What Worked Well (2 min)

Question 10: Top 3 Strengths

"What are the 3 things SkillMeat does really well?"

  1. [textarea - 100-200 words]
  2. [textarea - 100-200 words]
  3. [textarea - 100-200 words]

Question 11: Biggest Win for You

"What problem did SkillMeat solve for you?"

[textarea - 100-300 words]


Section 7: What Needs Improvement (3 min)

Question 12: Top 3 Improvements Needed

"What are the 3 most important things to improve before GA?"

  1. [textarea - 100-200 words]
  2. [textarea - 100-200 words]
  3. [textarea - 100-200 words]

Question 13: Biggest Frustration

"What was your biggest frustration with SkillMeat?"

[textarea - 100-300 words]

Question 14: Feature Gaps

"What critical features are missing?"

[textarea - 100-300 words]


Section 8: GA Readiness (1 min)

Question 15: Is SkillMeat Ready for GA?

"Do you think SkillMeat is ready for general availability release?"

  • [ ] Definitely - ship it!
  • [ ] Yes, with minor fixes
  • [ ] Maybe - need fixes first
  • [ ] No - needs significant work
  • [ ] Unsure

Why? [textarea]

Question 16: Will You Use SkillMeat After GA?

"Will you use SkillMeat after general availability?"

  • [ ] Definitely - it's essential for my workflow
  • [ ] Probably - looks promising
  • [ ] Maybe - depending on what changes
  • [ ] Unlikely - not the right fit for me
  • [ ] Unsure

Why? [textarea]


Section 9: Platform & Environment (1 min)

Question 17: Your Setup

  • Platform: macOS / Linux / Windows / WSL
  • OS Version: [text field]
  • Python Version: [dropdown 3.9-3.12]
  • Time testing: [1-3 days / 4-7 days / 8-14 days / 15+ days]
  • Hours per week: [<1 / 1-2 / 2-4 / 4+]

Question 18: Platform Experience

"How was your experience on your platform?"

  • [ ] Smooth - no platform-specific issues
  • [ ] Good - minor platform quirks
  • [ ] Fair - some platform-specific bugs
  • [ ] Poor - significant issues on my platform
  • [ ] N/A - tested on multiple platforms

Issues specific to your platform? [textarea]


Section 10: Final Feedback (Optional)

Question 19: Anything Else?

"Anything else we should know before GA launch?"

[textarea - optional, up to 500 words]

Question 20: Stay Connected

"How would you like to stay connected with SkillMeat?"

  • [ ] Email updates (GA, major features, security issues)
  • [ ] Twitter (@skillmeat_dev)
  • [ ] GitHub Discussions
  • [ ] None - just use the product
  • [ ] I'm good

Email for updates: [email field]


Section 11: Completion

Confirmation

  • [ ] I've completed all required sections
  • [ ] My feedback is honest and constructive
  • [ ] I understand my feedback will help shape the GA release

Submit Button: [SUBMIT SURVEY]


Thank You Message

After submission, display:

Thank You!

Your feedback has been received and is incredibly valuable. The SkillMeat team
is reviewing all responses to finalize the product before GA launch.

Here's what's next:

✓ General Availability Release: [Date]
✓ Early access for beta testers: [Date] (2 weeks early)
✓ Release notes will include your name/org: [Check here if you'd like recognition]

In the meantime:
- Monitor GitHub for updates: github.com/skillmeat/skillmeat
- Follow Twitter: @skillmeat_dev
- Join discussions: github.com/skillmeat/skillmeat/discussions

We'll send you an early access link [week before GA].

Thanks for being part of SkillMeat's journey!

—SkillMeat Team

Survey Analysis Fields

When exporting/analyzing responses, include these fields:

{
  "response_id": "unique_id",
  "submitted_at": "2024-11-21T14:30:00Z",
  "participant_id": "identifier",

  "nps_score": 8,
  "recommendation_comment": "text",

  "feature_satisfaction": {
    "cli_commands": 4,
    "web_interface": 5,
    "team_sharing": 3,
    ...
  },

  "ease_of_use": {
    "installation": "easy",
    "setup": "neutral",
    ...
  },

  "documentation_rating": 4,
  "documentation_issues": "text",

  "performance_ratings": {...},
  "reliability_incidents": "text",

  "strengths": ["text1", "text2", "text3"],
  "biggest_win": "text",

  "improvements": ["text1", "text2", "text3"],
  "biggest_frustration": "text",
  "feature_gaps": "text",

  "ga_ready": "yes_with_fixes",
  "ga_ready_why": "text",

  "will_use_after_ga": "probably",
  "will_use_why": "text",

  "platform": "macos",
  "os_version": "14.1",
  "python_version": "3.11.2",
  "testing_duration": "15+_days",
  "hours_per_week": "2-4",

  "platform_experience": "smooth",
  "platform_issues": "text",

  "final_feedback": "text",
  "stay_connected": ["email", "twitter"],
  "email": "user@example.com"
}

Analysis Plan

After survey deadline:

  1. Response Review (2 hours)
  2. Read all open-ended responses
  3. Identify themes and patterns
  4. Flag concerns for engineering team

  5. Metrics Calculation (1 hour)

  6. NPS score calculation
  7. Average ratings by question
  8. Satisfaction distribution
  9. Platform-specific insights

  10. Report Generation (1 hour)

  11. Summary of findings
  12. Top 5 strengths mentioned
  13. Top 5 improvements needed
  14. GA readiness recommendation
  15. Platform-specific issues

  16. Decision Making (2 hours)

  17. Engineering team reviews report
  18. P0 blockers identified and prioritized
  19. Go/no-go decision for GA release
  20. Post-GA feature prioritization

GA Readiness Decision Tree

Based on survey responses:

IF all of: - NPS > 30 - Average satisfaction > 4.0 - <5 unresolved P0/P1 bugs - >80% say SkillMeat ready for GA

THEN: Go for GA release

ELSE IF: - NPS > 0 - Average satisfaction > 3.5 - <10 unresolved P0/P1 bugs - >60% say SkillMeat mostly ready

THEN: GA with known issues list

ELSE: - Delay GA, address critical feedback first


Distribution

Send survey to: - All beta participants (direct email) - Slack #skillmeat-beta (announcement) - GitHub Discussions (optional link) - Reminder 3 days before deadline - Final reminder 1 day before deadline

Completion incentives: - All completions entered in raffle (prizes: $100 gift cards) - Thank you email for participating - Early access confirmation - Recognition in release notes