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Product Recommendation Experience & Personalization Survey

Measures user satisfaction with recommendation relevance, perceived control, and content diversity. Designed for product teams optimizing personalization engines and recommendation UX.

Sample questions

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

24 questions · ~4 min
Q01
Long Text

Welcome! Thank you for participating in this survey about your experience with product recommendations. This survey takes approximately 3–4 minutes. Your 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, will be reported only in aggregate, and will be used to improve the recommendation experience.

Q02
Long Text

How long have you been using this product?

Q03
Long Text

Overall, how useful are our recommendations for achieving your goals?

Q04
Long Text

How much control do you feel you have over the recommendations you see?

Q05
Long Text

How much variety do you typically see across the recommendations shown to you?

Q06
AI Interview

I'd like to understand your recommendation experience a bit more. Let's start: What stands out most — positively or negatively — about the recommendations you've been seeing recently?

Q07
Long Text

What is your age group?

Q08
Long Text

Thank you for completing this survey — your feedback directly helps us improve your recommendation experience!

Q09
Long Text

How often do you engage with recommendations when using the product?

Q10
Long Text

The recommendations I see are relevant to my interests.

Q11
Multiple Choice

Which of the following controls have you used to influence your recommendations in the last 30 days? (Select all that apply)

Q12
Long Text

In the last 7 days, how often did you notice near-duplicate recommendations?

Q13
Long Text

Based on your experience, what one change would most improve the recommendations you receive?

Q14
Long Text

Which region do you primarily use the product from?

Q15
Long Text

When did you last see recommendations in our product?

Q16
Long Text

The recommendations I see are timely for what I need.

Q17
Long Text

To what extent did the controls you used improve your recommendations?

Q18
Long Text

Rank the following in order of how much you would like to see them in your recommendations (most desired first).

Q19
Multiple Choice

During that session, did you act on any recommendation (e.g., click, save, or purchase)?

Q20
Long Text

I trust the accuracy of the recommendations I receive.

Q21
Long Text

Which of the following recommendation controls would be most useful to you? (Rank your top 3)

Q22
Multiple Choice

What prevented you from acting on a recommendation? (Select all that apply)

Q23
Long Text

The recommendations introduce me to items I would not have found on my own.

Q24
Long Text

How often do recommendations lead to a successful outcome for you (e.g., finding what you need, saving time)?

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.