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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Have you used search filters (e.g., price, brand, rating, category) on any product or website in the past 90 days?
- Yes
- No
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.
How easy or difficult was it to locate the filter controls on that product?
Overall, how relevant or irrelevant are the results after you apply filters?
How satisfied or dissatisfied are you with the level of control you have over filtering options on that product?
Please rank the following aspects of the filtering experience by how important each is to you, from most to least important.
- Result relevance
- Speed and performance
- Ease of finding filter controls
- Clarity of filter labels
- Ability to include or exclude values precisely
- Visibility and management of active filters
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?
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
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.
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
How clear or unclear were the filter labels and category names the last time you used them?
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
How do filters apply on that product?
- Update automatically as I select
- Require tapping Apply / Done
- Varies by context
- Not sure
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.
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
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
How clear or unclear were the result counts and available values shown alongside filters?
If you can recall a time when filters produced unexpected results—either hiding relevant items or showing irrelevant ones—please briefly describe what happened.
How easy or difficult is it to manage active filters (viewing, changing, or clearing them) during a search?
Where do you currently live?
- Africa
- Asia
- Europe
- Latin America & Caribbean
- Middle East
- North America
- Oceania
- Prefer not to say
Which platform do you primarily use when filtering on that product?
- Desktop website
- Mobile app
- Mobile web browser
- Tablet app
- Tablet web browser
- Other
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
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
Which best describes your primary context when using this product?
- Personal use
- Work / professional use
- Both equally
- Other
- Prefer not to say
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
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)
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)
포함된 기능
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이 템플릿을 선택하는 이유
- 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 QuestionnaireThis 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.
잘하는 점
- 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
아쉬운 점
- 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 QuestionsA 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.
잘하는 점
- Large existing user base and simple template deployment
- Good for broad market-research questions (pricing, brand perception)
- Familiar, easy-to-launch survey builder
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- Conversational, chat-style survey format
- Fast to deploy for general product feedback collection
- Supports typical rating and open-text question types
아쉬운 점
- 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
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