Q01
Long Text
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Experimentation Maturity & Data Trust Assessment
Measures A/B testing ease-of-use, guardrail adoption, result trust, and decision confidence among product and engineering teams. Use it to identify friction points, governance gaps, and training needs to scale experimentation.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
24 questions · ~4 min
Q02
Multiple Choice
How often are experiments (e.g., A/B tests, feature experiments) part of your work?
Q03
Long Text
How easy or difficult is it to set up a standard A/B test using your current tools and processes?
Q04
Multiple Choice
Which of the following quality controls are currently enforced in your experimentation workflow? Select all that apply.
Q05
Long Text
How much do you trust your organization's experiment results to inform product decisions?
Q06
Long Text
Rank the following phases of a typical experiment by how much effort they require (most effort at top).
Q07
Long Text
The next two questions are for those who do not currently run experiments. If you do run experiments, please skip ahead.
Q08
AI Interview
Based on your responses, we'd like to explore your experimentation experience in a bit more depth. Please share your thoughts openly—an AI moderator may ask a follow-up question or two.
Q09
Multiple Choice
What is your primary role?
Q10
Long Text
All set—thank you for sharing your perspective! Your responses will help us identify ways to improve experimentation practices across the organization.
Q11
Multiple Choice
Which platforms or approaches do you currently use for experimentation? Select all that apply.
Q12
Long Text
How easy or difficult is it to analyze a completed experiment and interpret its results?
Q13
Multiple Choice
What is the primary decision rule your team uses to determine whether an experiment's results are conclusive?
Q14
Long Text
How confident are you in acting on an experiment's outcome to make a product or business decision?
Q15
Long Text
What one change would most improve your experimentation workflow?
Q16
Multiple Choice
What are the main reasons you do not currently run experiments? Select all that apply.
Q17
Multiple Choice
Which team are you primarily part of?
Q18
Long Text
In the last 3 months, approximately how many experiments did you help design, run, or analyze?
Q19
Long Text
What, if anything, most undermines your trust in experiment results today? Please share specifics.
Q20
Long Text
What resources, tools, or support would help you start running experiments confidently?
Q21
Multiple Choice
How many years have you been involved in running or analyzing experiments?
Q22
Long Text
Rank the following blockers to reliable experimentation from biggest (top) to smallest (bottom).
Q23
Multiple Choice
Where are you primarily located?
Q24
Multiple Choice
Approximately how many employees are in your company?
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.