AI Changelog Clarity & Adoption Impact Survey
Measures how users perceive the clarity, usefulness, and behavioral impact of AI product changelogs. Designed for product and developer experience teams seeking to optimize release communication and drive feature adoption.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the past 30 days, have you read any AI feature or model update changelog for this product?
- Yes
- No
The next two questions are for those who have not recently read a changelog. If you have read one, you may skip ahead.
The following questions are about the most recent AI update changelog you read.
Overall, how clear was the last AI update changelog you read?
Did any recent AI update change how you use the product?
- Yes, I made an immediate change
- Yes, I'm planning a change
- Not yet, but I'm considering it
- No impact
- Not sure
How often would you like to receive AI changelog updates?
- Every update as it ships
- Weekly digest
- Biweekly digest
- Monthly digest
- Only major releases
- Only if it affects my usage
Based on your responses in this survey, we'd like to explore a few of your thoughts in more detail. An AI moderator will ask you up to 2 short follow-up questions.
What is your primary role?
- Engineer/Developer
- Data Scientist/ML Engineer
- Product Manager
- Designer/UX Researcher
- Analyst
- Executive/Founder
- Support/Solutions/Success
- Other
Thank you for your time and insights! Your feedback will directly inform how we improve future AI update changelogs.
What are the main reasons you haven't read a changelog recently? Select all that apply.
- I didn't notice any updates
- Too frequent to keep up
- Too technical or jargon-heavy
- Not relevant to my work
- I rely on other sources (e.g., docs, community)
- No time
- Other
Where did you access the most recent AI update changelog?
- In-app banner or toast
- Release notes page
- Developer portal
- Documentation site
- Blog
- GitHub/GitLab releases
- Community (Slack/Discord/Forum)
- Social post
- Other
How clearly did the changelog explain what changed and why?
Briefly describe what you changed or plan to change because of the update.
Which channels would you prefer for receiving changelog updates? Select all that apply.
- In-app notifications
- Release notes page
- Documentation site
- Developer portal
- Blog
- GitHub/GitLab releases
- Slack/Discord/Community
- RSS/Atom
- Other
How long have you worked with AI or machine learning tools?
- 0–6 months
- 6–12 months
- 1–2 years
- 3–5 years
- 6+ years
What one change would most help you notice and engage with AI update changelogs?
Approximately how long did you spend reading the last changelog?
- Less than 1 minute
- 1–2 minutes
- 3–5 minutes
- 6–10 minutes
- More than 10 minutes
How clearly did the changelog explain what actions you need to take (if any)?
What additional information in the changelog would help you act on future updates?
Rank the following example types by how valuable they are to you in AI changelogs (drag the most valuable to the top).
- Short input-output examples
- Before/after comparisons
- Code snippets in common languages
- Edge-case behaviors
- Performance/benchmark figures
- Migration guidance examples
How often do you use this product?
- Multiple times per day
- Daily
- 2–3 times per week
- Weekly
- Monthly or less
How appropriate was the level of technical detail in the changelog?
How many employees does your organization have?
- 1
- 2–10
- 11–50
- 51–200
- 201–1,000
- 1,001+
Rank the following changelog sections by how useful they are to you (drag the most useful to the top).
- High-level summary
- What's new bullets
- Before/after examples
- Migration or upgrade guidance
- Deprecation notices
- Performance or benchmark results
Where are you primarily located?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East/Africa
- Other/Prefer not to say
Would you be open to being contacted for a brief follow-up conversation?
- Yes
- No
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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