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Product & UX

Faceted Search & Filter Usability Evaluation

Evaluates the discoverability, relevance, clarity, and control of search-filter experiences from the end-user perspective. Ideal for UX researchers and product teams seeking actionable feedback on faceted navigation.

Sample questions

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

28 questions · ~12 min
Q01
Message

Welcome, and thank you for participating! This survey explores your recent experience using search filters on a product or website. • Estimated time: 8–10 minutes • Your participation is entirely voluntary, and you may stop at any time. • All responses are confidential and will be reported only in aggregate. • There are no right or wrong answers—we are simply interested in your honest opinions. By continuing, you consent to participate in this research.

Q02
Multiple Choice

Have you used search filters (e.g., price, brand, rating, category) on any product or website in the past 90 days?

  • Yes
  • No
Q03
Message

For the rest of this survey, please think of the one product or website where you most often use search filters. Answer all questions based on your recent experience with it.

Q04
Opinion Scale

How easy or difficult was it to locate the filter controls on that product?

Scale: 17
Min:Very difficultMax:Very easy
Q05
Opinion Scale

Overall, how relevant or irrelevant are the results after you apply filters?

Scale: 17
Min:Completely irrelevantMax:Highly relevant
Q06
Opinion Scale

How satisfied or dissatisfied are you with the level of control you have over filtering options on that product?

Scale: 17
Min:Very dissatisfiedMax:Very satisfied
Q07
Ranking

Please rank the following aspects of the filtering experience by how important each is to you, from most to least important.

  1. Result relevance
  2. Speed and performance
  3. Ease of finding filter controls
  4. Clarity of filter labels
  5. Ability to include or exclude values precisely
  6. Visibility and management of active filters
Drag to rank
Q08
Long Text

Based on your responses in this survey, if you could change one thing about the filter or facet experience on this product, what would it be?

Q09
Dropdown

What is your age group?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q10
Message

Thank you for completing this survey! Your feedback will help improve the search-filter experience. Your responses are confidential and will be reported only in aggregate. If you have any questions, please contact the research team.

Q11
Dropdown

When did you last use search filters on that product?

  • Within the past week
  • 1–2 weeks ago
  • 3–4 weeks ago
  • 1–2 months ago
  • About 3 months ago
Q12
Opinion Scale

How clear or unclear were the filter labels and category names the last time you used them?

Scale: 17
Min:Very unclearMax:Very clear
Q13
Multiple Choice

Which of the following issues, if any, have you encountered when using filters on that product? Select all that apply.

  • Too many irrelevant items remain
  • Too few results after filtering
  • Filter values don't match my expectations
  • Filters combine in unexpected ways (AND vs. OR)
  • Cannot exclude specific values (e.g., hide certain brands)
  • Active filters are not clearly visible
  • Results update slowly
  • None of the above
Q14
Multiple Choice

How do filters apply on that product?

  • Update automatically as I select
  • Require tapping Apply / Done
  • Varies by context
  • Not sure
Q15
AI Interview

Thank you for your written feedback. We'd like to explore a couple of your responses in more detail. An AI moderator will ask you up to 2 short follow-up questions about your search-filter experience.

Q16
Dropdown

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q17
Dropdown

In the past 90 days, approximately how often have you used search filters on that product?

  • Multiple times a day
  • About once a day
  • A few times a week
  • About once a week
  • A few times a month
  • Once or twice total
Q18
Opinion Scale

How clear or unclear were the result counts and available values shown alongside filters?

Scale: 17
Min:Very unclearMax:Very clear
Q19
Long Text

If you can recall a time when filters produced unexpected results—either hiding relevant items or showing irrelevant ones—please briefly describe what happened.

Q20
Opinion Scale

How easy or difficult is it to manage active filters (viewing, changing, or clearing them) during a search?

Scale: 17
Min:Very difficultMax:Very easy
Q21
Dropdown

Where do you currently live?

  • Africa
  • Asia
  • Europe
  • Latin America & Caribbean
  • Middle East
  • North America
  • Oceania
  • Prefer not to say
Q22
Dropdown

Which platform do you primarily use when filtering on that product?

  • Desktop website
  • Mobile app
  • Mobile web browser
  • Tablet app
  • Tablet web browser
  • Other
Q23
Multiple Choice

Where do you usually start when applying filters on that product?

  • Left sidebar
  • Top bar or tabs
  • Within the results list
  • Separate filters screen
  • Start with a search, then refine
  • I don't remember
Q24
Dropdown

In a typical search session on that product, approximately how many filters do you apply?

  • 1
  • 2–3
  • 4–5
  • 6–10
  • More than 10
Q25
Dropdown

Which best describes your primary context when using this product?

  • Personal use
  • Work / professional use
  • Both equally
  • Other
  • Prefer not to say
Q26
Dropdown

How would you describe your familiarity with this product's filter features?

  • Beginner — I rarely explore filter options
  • Intermediate — I use common filters comfortably
  • Advanced — I use most available filters regularly
  • Expert — I know the filter system thoroughly
  • Not sure
Q27
Dropdown

After applying filters, how quickly do you typically reach acceptable results?

  • Almost instantly (under 2 seconds)
  • A few seconds (2–5 seconds)
  • Several seconds (6–15 seconds)
  • Noticeably slow (16–30 seconds)
  • Very slow (more than 30 seconds)
Q28
Multiple Choice

Which of the following filter types do you typically use on that product? Select all that apply.

  • Price / cost
  • Brand
  • Category / type
  • Rating / reviews
  • Availability / in stock
  • Size / dimensions
  • Color
  • Delivery speed / shipping options
  • Location / distance
  • Features / specifications
  • Other (please specify)

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

  • Purpose-built for faceted search and filter UX, covering discoverability, label clarity, result-count clarity, and control over active filters rather than generic product satisfaction
  • Includes an AI follow-up interview step that probes the respondent's own open-text description of unexpected filter results, going deeper than a static question list
  • Combines quantitative opinion-scale and ranking questions (e.g., importance of filtering aspects) with behavioral context (platform, frequency, recency) so findings map cleanly to reportable UX metrics
  • Auto-generates a report from responses, so researchers get structured findings on filter usability without manually coding open-text answers

QuestionPro

Product Evaluation Survey Template and Sample Questionnaire

This is a general-purpose product evaluation questionnaire, not a template focused on search or filter interactions specifically. It's a fielding-ready static template useful for broad product feedback but would need heavy customization to probe faceted navigation. Good for general satisfaction tracking rather than granular UX diagnostics.

What it does well

  • Established survey platform with broad question-type library
  • Ready-to-use sample questionnaire for general product feedback
  • Likely supports standard skip logic and reporting dashboards

Where it falls short

  • No adaptive AI follow-up questioning — respondents get the same fixed question set regardless of answers
  • Not tailored to filter/facet-specific concepts like label clarity, result-count legibility, or active-filter management
  • No published methodology on how questions were validated for UX-specific research

SurveyMonkey

Market Research Product Survey Questions

A generic market-research product survey aimed at broad consumer sentiment rather than interface or filter usability. It's a static, fielding-ready template well suited for market positioning questions, but it doesn't address navigation, discoverability, or filter control. Teams evaluating faceted search would need to build this from scratch.

What it does well

  • Large existing user base and simple template deployment
  • Good for broad market-research questions (pricing, brand perception)
  • Familiar, easy-to-launch survey builder

Where it falls short

  • No adaptive AI interviewing or voice-based follow-up
  • Not focused on search/filter UX constructs (labels, result relevance, control)
  • No per-response quality scoring or transparent prompt methodology

SurveySparrow

Product Feedback Survey Template

A general product feedback template covering overall satisfaction and feature feedback, not specific to search/filter interactions. It's fielding-ready and conversational in style, but lacks the structured behavioral and usability constructs needed to evaluate faceted navigation specifically. Best suited as a broad feedback tool rather than a UX diagnostic instrument.

What it does well

  • Conversational, chat-style survey format
  • Fast to deploy for general product feedback collection
  • Supports typical rating and open-text question types

Where it falls short

  • No adaptive AI-driven follow-up probing based on individual answers
  • No filter-specific constructs like facet discoverability or active-filter management
  • No automated per-response quality scoring or generated analysis report

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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