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Industry-Specific

Product Usability & User Experience Feedback Survey

Evaluates how easy, efficient, and satisfying your product or website is to use, combining attribute ratings and a prioritization exercise with an AI follow-up that reconstructs a real recent moment of friction instead of relying on vague complaints. Built for product, design, and research teams running ongoing usability tracking.

Sample questions

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

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to share your experience using (Replace with product/website name). Your feedback shapes what we fix and build next. Your responses are completely confidential and anonymized. This should take about 5 minutes.

Q02
Multiple ChoiceRequired

In the last 30 days, how often have you used (Replace with product/website name)?

  • Daily
  • A few times a week
  • About once a week
  • A few times this month
  • This is my first time
Q03
Opinion ScaleRequired

Thinking about the last time you tried to complete a task in the product, how easy was it to get done?

Scale: 17
Min:Very difficultMax:Very easy
Q04
Rating ScaleRequired

Overall, how satisfied are you with your experience using the product?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q05
MatrixRequired

Rate each part of the experience below.

6 rows × 5 columns
  • Navigation and menus
  • Visual design and layout
  • Page or app load speed
  • Search and findability
  • Error messages and recovery
  • +1 more
Columns: Poor · Below average · Average · Good · Excellent
Q06
Best–Worst Trade-off (MaxDiff)Required

Which of these issues most needs fixing, and which matters least right now?

  • Confusing navigation
  • Slow load or response times
  • Unclear error messages
  • Inconsistent design across screens
  • Hard to find what I'm looking for
  • Too many steps to complete a task
  • Unclear labels or terminology
  • Poor experience on mobile devices
Pick best & worst per setBest:Most needs fixingWorst:Least needs fixing
Q07
AI Interview

Reconstruct the respondent's most recent frustrating moment using the product: what were they trying to do, what actually happened step by step, and where exactly did it break down. Anchor on whichever attribute they rated lowest in the previous rating grid or picked as the top issue in the prioritization question, and ask what they did next (gave up, worked around it, asked for help). If they report no friction at all, probe what almost went wrong or what they'd change if forced to pick one thing.

Q08
Text Highlight

Below is a sample screen from the product. Highlight any words or phrases that felt confusing or unclear. (Template note: replace with your own interface copy or screen text before launching.)

Welcome back! To continue, please verify your account status by confirming your preferences in the settings panel, then proceed to finalize your session. (Template note: replace with your own X before…

Q09
Long Text

If you could change one thing about the product to make it easier or more pleasant to use, what would it be and why?

Q10
Multiple Choice

Which device do you use most often to access the product?

  • Desktop or laptop computer
  • Smartphone
  • Tablet
  • Multiple devices equally
Q11
Multiple Choice

Which best describes your role or how you primarily use the product?

  • Individual contributor
  • Manager or team lead
  • Administrator
  • Customer or client
  • Other
Q12
Message

That's everything — thank you for the detailed feedback! Your ratings and comments go directly to our design and product teams to guide upcoming usability improvements.

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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Goes beyond static ratings by including a max-diff prioritization exercise so teams know which usability issue to fix first, not just how satisfied users are
  • Uses an AI follow-up interview that reconstructs the respondent's actual most recent frustrating moment, replacing vague complaints with a concrete incident
  • Includes a text-highlight exercise on a real product screen so respondents can mark the exact words or UI elements causing confusion
  • Combines attribute-level matrix ratings, device and role screening, and an open-ended improvement question in one flow built for ongoing usability tracking, not a one-off form

Jotform

User Experience Survey Form Template

A drag-and-drop, fielding-ready form template for collecting basic UX feedback. It's built on Jotform's general form platform, so it's easy to brand and embed but is a static questionnaire rather than an interview. Good for quick UX pulse checks, less suited to deep diagnostic research.

What it does well

  • Easy to customize and embed via Jotform's drag-and-drop builder
  • Broad integration ecosystem typical of Jotform's form platform
  • Simple, ready-to-use starting point for basic UX feedback

Where it falls short

  • Static question set with no adaptive follow-up to probe individual answers
  • No mechanism to reconstruct a specific usability incident or moment of friction
  • No automated per-response quality scoring or transparent prompt methodology

QuestionPro

Mobile app user experience survey template | Voice of the customer surveys

A fielding-ready template focused specifically on mobile app UX, positioned within QuestionPro's larger Voice of the Customer survey library. It benefits from QuestionPro's enterprise survey and analytics tooling but is scoped to mobile apps rather than general product/website usability. Reporting is dashboard-based rather than narrative.

What it does well

  • Mobile-app-specific question framing
  • Backed by QuestionPro's established survey analytics and dashboard tooling
  • Part of a broader Voice of the Customer template library for cross-survey consistency

Where it falls short

  • Fixed question flow with no adaptive AI follow-up to dig into a specific bad experience
  • No voice AI interview or guided screen-share task option
  • No published per-response quality scoring or transparent prompt disclosure

SurveySparrow

User Experience Survey & Questionnaire Template

A fielding-ready, chat-style UX survey template that leans on SurveySparrow's conversational UI to feel less like a form. It's positioned under marketing templates, suggesting a broader customer-feedback use case rather than dedicated product/design research. The conversational format is scripted, not adaptive.

What it does well

  • Conversational, one-question-at-a-time interface that can improve completion rates
  • Templated within SurveySparrow's marketing feedback suite for quick setup
  • Mobile-friendly presentation typical of SurveySparrow surveys

Where it falls short

  • Conversational UI is pre-scripted, not adaptive AI probing based on the respondent's actual answers
  • No capability to reconstruct a specific recent friction moment or highlight confusing UI text
  • No automated quality scoring or transparent prompt methodology published

Typeform

User Experience Survey Form

A polished, fielding-ready UX survey template using Typeform's signature conversational, one-question-per-screen format. It's easy to customize visually and is well suited to lightweight feedback collection, but the flow is fixed once published. There's no research-specific tooling like task-based exercises or incident reconstruction.

What it does well

  • Visually engaging, one-question-at-a-time format known to boost completion
  • Simple to customize and brand within Typeform's editor
  • Widely used and familiar format for respondents

Where it falls short

  • No adaptive AI follow-up questions — logic branches are pre-set, not generated from responses
  • No prioritization exercise, screen-highlight task, or AI-reconstructed friction narrative
  • No automated per-response quality scoring or transparent prompt disclosure

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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