Measures developer sentiment toward API deprecation timelines, guidance clarity, and migration burden to inform improvements in API lifecycle communication and support practices.
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
22
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 API Deprecation & Migration Experience Survey.
This survey explores your experience with API or platform deprecations, including timeline fairness, guidance quality, and migration effort. Your responses will help improve how deprecations are communicated and managed.
Participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate.
Estimated time: 6–8 minutes.
Q2
Multiple Choice
When did you most recently encounter an API or platform deprecation that affected your work?
In the last 30 days
31–90 days ago
3–6 months ago
7–12 months ago
Over 12 months ago
I have not encountered one
Q3
Dropdown
Who initiated the deprecation you most recently experienced?
Cloud platform provider
SaaS or API vendor
Open-source project maintainers
Internal team at my company
Hardware/device vendor
Not sure
Q4
Multiple Choice
Was a specific removal or sunset date provided for the deprecation?
Yes, a specific date
No, only general timing (e.g., 'later this year')
Not sure / wasn't stated
Q5
Dropdown
Approximately how many weeks of advance notice were you given before the deprecation took effect?
Less than 1 week
1–2 weeks
3–4 weeks
5–8 weeks
9–12 weeks
13–26 weeks (3–6 months)
More than 26 weeks (6+ months)
Not sure
Q6
Opinion Scale
Overall, how fair was the deprecation timeline you experienced?
Range: 1 – 7
Min: Very unfairMid: NeutralMax: Very fair
Q7
Dropdown
What is the minimum number of weeks of advance notice you consider fair for breaking API changes?
Less than 1 week
1–2 weeks
3–4 weeks
5–8 weeks
9–12 weeks
13–26 weeks (3–6 months)
More than 26 weeks (6+ months)
Q8
Opinion Scale
How clear was the deprecation guidance you received (e.g., migration documentation, changelogs)?
Range: 1 – 7
Min: Very unclearMid: NeutralMax: Very clear
Q9
Opinion Scale
How would you rate the clarity of step-by-step migration instructions?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Excellent
Q10
Opinion Scale
How would you rate the quality of code examples or migration guides provided?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Excellent
Q11
Opinion Scale
How would you rate the completeness of the breaking-changes documentation?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Excellent
Q12
Opinion Scale
How much effort did the migration require for your codebase?
How many years of professional software development experience do you have?
Less than 1
1–3
4–6
7–10
11–15
16+
Q18
Dropdown
Approximately how many employees does your organization have?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001–10,000
10,001+
Q19
Dropdown
Which region are you primarily based in?
North America
Latin America
Europe
Middle East
Africa
East Asia
South Asia
Southeast Asia
Oceania
Prefer not to say
Q20
Long Text
Based on your responses in this survey, what would make deprecation timelines and guidance clearer and fairer for you?
Max chars
Q21
AI Interview
We'd like to explore your deprecation experience in a bit more depth. An AI moderator will ask a couple of follow-up questions based on your earlier responses.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q22
Chat Message
Thank you for your time — your feedback will directly inform how we improve deprecation practices and developer experience.
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.
How do I create my first survey?
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).
Can I test my survey before launching?
Yes. Use synthetic testing to create AI personas and run them through your survey. This helps catch issues with question flow, logic, and wording before real respondents see it.
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QuestionPunk supports 142+ languages. Add languages from the survey editor, auto-translate questions, and share language-specific links. AI interviews also adapt to the respondent's language automatically.
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Can I export survey results?
Yes. Export as CSV (flat or wide layout), Excel (XLSX), or export the survey structure as PDF/Word. Filter by suspicious level, response type, language, or date range before exporting.
Does QuestionPunk detect fraudulent responses?
Yes. Every response is automatically classified with a suspicious level (low/medium/high) based on attention checks, response timing, and behavioral signals. You can filter flagged responses in the Responses tab.
What are the pricing plans?
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