AI Feature Trust & Usefulness Survey
The AI features audited: usefulness, error handling, trust, and control wanted.
4 questions · 1 page · about 2 minutes to answer · fully editable after you start
AI features ship on excitement and survive on calibrated trust. This survey audits yours: usefulness by feature, the error experience when the AI is wrong, trust trajectory after those errors, and the control question – what users want to review, approve, or switch off entirely.
The after-an-error trust answers matter most: features forgiven their mistakes have the affordances that make errors cheap; features abandoned had none.
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Page 1
The AI in the product
This survey asks about the AI features you have tried in our product and how far you trust them. Your honest answers, including the critical ones, help us improve them. It takes about 2 minutes.
Q1.How would you rate each AI feature you have tried?*
| Poor | Mixed | Good | Not applicable | |
|---|---|---|---|---|
| Usefulness of the results | ||||
| Being right often enough | ||||
| Being easy to correct when wrong | ||||
| Making clear what is AI-generated |
Q2.Describe an AI mistake it made - and what you did next.*
Q3.What control do you want over the AI?
- Review before it acts
- Act, but easily undoable
- Full auto is fine
- An off switch
Q4.Trust trend: versus a month ago, you trust the AI features...
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