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Product Feature Discoverability Assessment

Measures how users locate, recognize, and evaluate in-product features. Designed for product and UX research teams to diagnose navigation friction, benchmark discoverability, and prioritize information-architecture improvements.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

21 questions · ~4 min
Q01
Long Text

Welcome, and thank you for participating! This brief survey (~5 minutes) asks about your recent experience finding a specific feature in this product. Your responses are voluntary, confidential, and will be reported only in aggregate to help us improve feature discoverability. There are no right or wrong answers—we simply want your honest perspective. You may stop at any time.

Q02
Multiple Choice

In the last 30 days, approximately how often did you use this product?

Q03
Long Text

Please name one feature you recently used or tried to find in this product (within the past 14 days).

Q04
Multiple Choice

Thinking about the feature you named, how did you first find (or try to find) it?

Q05
Long Text

Rank where you would most expect to find this type of feature (most to least likely).

Q06
Long Text

In your own words, what helped or hindered you when finding that feature?

Q07
Multiple Choice

Which best describes your primary role when using this product?

Q08
Long Text

Thank you for your insights — your feedback will directly help us improve feature discoverability. You're all set!

Q09
Multiple Choice

Which of the following devices do you use for this product? Select all that apply.

Q10
Long Text

If you used in-product search, what keyword(s) did you try?

Q11
Multiple Choice

Which of the following discovery aids have you noticed or used in this product? Select all that apply.

Q12
Long Text

What is one change that would make this feature easier to find next time?

Q13
Multiple Choice

How long have you been using this product?

Q14
Long Text

Overall, how easy or difficult was it to find that feature?

Q15
Multiple Choice

If you had difficulty finding the feature, where did the process stall most?

Q16
AI Interview

Based on your responses, we'd like to explore your feature-discovery experience a bit further.

Q17
Multiple Choice

Which region are you in?

Q18
Long Text

Once you located the feature, how clear was its name or label?

Q19
Long Text

Based on your responses throughout this survey, is there anything else you'd like to share about finding or discovering features in this product?

Q20
Multiple Choice

What is your age range?

Q21
Multiple Choice

Do you use any assistive technologies (e.g., screen reader, voice control) when using digital products?

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.