Open Source Contributor Experience & Governance Survey
Measures contribution path clarity, governance transparency, maintainer responsiveness, and improvement priorities for open-source projects. Designed for project maintainers seeking to improve contributor satisfaction and retention.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
18
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to the Open Source Contributor Experience Survey.
This survey takes approximately 5 minutes to complete. Your responses are completely anonymous and will be reported only in aggregate to help improve the contributor experience for this project.
Participation is voluntary, there are no right or wrong answers, and you may stop at any time. By proceeding, you consent to participate.
Q2
Multiple Choice
Which of the following best describes your current relationship to this project?
Maintainer
Regular contributor
Occasional contributor
New contributor
User only (no contributions yet)
Q3
Multiple Choice
In the past 12 months, how often have you contributed to this project?
Weekly or more
2–3 times per month
About once per month
A few times this year
Once in the last year
Not in the last 12 months
Q4
Opinion Scale
How clear are the contribution entry points (e.g., documentation, labeled issues, getting-started guides) for this project?
Range: 1 – 7
Min: Very unclearMid: NeutralMax: Very clear
Q5
Long Text
What, if anything, slows you down when contributing to this project?
Max chars
Q6
Multiple Choice
Which of the following governance elements are clear to you for this project? (Select all that apply.)
Roadmap and project direction
Decision-making process
Release process and cadence
Code of Conduct enforcement
Maintainer roles and permissions
Project ownership or legal entity
None of the above
Q7
Opinion Scale
How transparent has project decision-making been in the last 6 months?
Range: 1 – 7
Min: Not at all transparentMid: NeutralMax: Extremely transparent
Q8
Opinion Scale
In the last 6 months, how often were contributors invited to provide input on project decisions (e.g., roadmap priorities, release plans, policy changes)?
Range: 1 – 7
Min: NeverMid: NeutralMax: Very frequently
Q9
Multiple Choice
For your most recent contribution, how long did it take to receive an initial response from a maintainer?
Within 24 hours
2–3 days
4–7 days
8–14 days
More than 14 days
No response yet
Not applicable
Q10
Opinion Scale
How would you rate the quality of code review feedback you received on pull requests in the last 6 months?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Excellent
Q11
Opinion Scale
How accessible have maintainers been on project communication channels (e.g., chat, forums, issue trackers) in the last 6 months?
Range: 1 – 7
Min: Not at all accessibleMid: NeutralMax: Extremely accessible
Q12
Opinion Scale
Overall, how satisfied are you with maintainer responsiveness in the last 6 months?
Range: 1 – 7
Min: Very dissatisfiedMid: NeutralMax: Very satisfied
Q13
Ranking
Please rank the following areas by how much they need improvement for this project, with the most important at the top.
Drag to order (top = most important)
Contribution documentation
Issue triage speed
Code review throughput
Decision-making transparency
Roadmap visibility
New contributor onboarding
Q14
Long Text
Based on your responses in this survey, is there anything else you would like to share about your experience contributing to this project?
Max chars
Q15
AI Interview
We'd like to learn a bit more about your contributor experience. An AI moderator will ask you a couple of brief follow-up questions.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 6
Q16
Multiple Choice
How long have you been involved with this project?
Less than 3 months
3–12 months
1–2 years
3 or more years
Q17
Dropdown
In which region do you primarily reside?
Africa
Asia
Europe
Latin America
North America
Oceania
Prefer not to say
Q18
Chat Message
Thank you for your time and insights! Your feedback will be used to improve the contributor experience for everyone involved in this project.
Frequently Asked Questions
What is QuestionPunk?
QuestionPunk is an AI-powered survey and research platform that turns traditional surveys into adaptive conversations. Describe your research goal and get a complete survey draft, conduct AI-moderated interviews with dynamic follow-ups, detect low-quality responses, and produce insights automatically. It's fast, flexible, and scalable across qualitative and quantitative research.
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Sign up, then choose how to build: describe your research goal and let AI generate a survey, pick a template, or start from scratch. Add question types, set logic, preview, and share.
Can the AI generate a survey from a prompt?
Yes. Describe your research goal in plain language and QuestionPunk drafts a complete survey with appropriate question types, ordering, and AI follow-up logic. You can then customize before publishing.
What question types are available?
QuestionPunk supports a wide range of question types: opinion scale, rating, multiple choice, dropdown, ranking, matrix, constant sum, AI interview (text and audio), long text, short text, email, phone, date, address, website, numeric, audio/video recording, contact form, chat message, conversation reset, button, page breaks, and more.
How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
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