Q01
Message
All templatesProduct & UX
Site Search UX Evaluation: Intent, Relevance & Filtering
Evaluates users' search experiences across intent expression, result relevance, and filter/sort usability to identify actionable improvements for product search, UX, and conversions.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
29 questions · ~12 min
Q02
Multiple Choice
When did you last use the product's search feature?
- Today
- In the past 3 days
- In the past 7 days
- In the past 30 days
- More than 30 days ago
- I have never used the search feature
Q03
Opinion Scale
How confident were you that the words you typed accurately expressed what you were looking for?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q04
Opinion Scale
Overall, how relevant were the search results to what you were looking for?
Scale: 1 – 7
Min:Not at all relevantMax:Extremely relevant
Q05
Multiple Choice
During that session, how often did you use filters or sorting controls?
- I did not notice any filter or sorting controls
- I noticed them but did not use them
- Once
- 2 to 3 times
- More than 3 times
Q06
Opinion Scale
How satisfied are you with the overall search experience?
Scale: 1 – 7
Min:Not at all satisfiedMax:Extremely satisfied
Q07
Multiple Choice
Which of the following best describes your role?
- Individual contributor
- People manager
- Executive or leader
- Other
Q08
Message
Thank you for completing this survey. Your feedback will directly inform improvements to our search experience.
Q09
Multiple Choice
What is the main reason you have not used the search feature recently?
- I rely on browsing or navigation instead
- Search does not meet my needs
- It was not relevant to my recent tasks
- I was not aware of the search feature
- Past search results were not helpful
- Other (please specify)
Q10
Multiple Choice
During that session, how many times did you rephrase or change your search query?
- None
- Once
- 2 to 3 times
- 4 or more times
Q11
Multiple Choice
Which of the following issues, if any, did you notice in the search results? (Select all that apply)
- Results were too broad
- Results were too narrow or specific
- Results were out of date or stale
- Duplicate results appeared
- Low-quality sources were included
- Language or locale mismatch
- Results were behind paywalls or access restrictions
- Missing key information or attributes
- Irrelevant geographic results
- No issues noticed
Q12
Multiple Choice
Which of the following filtering or sorting controls did you use? (Select all that apply)
- Sort by relevance
- Sort by date or time
- Date range filter
- Category or type filter
- Price or cost filter
- Rating or reviews filter
- Location or distance filter
- Availability or in-stock filter
- Include or exclude specific sources
- Advanced query operators
- None of the above
Q13
Opinion Scale
How likely are you to recommend this product's search feature to a colleague?
Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q14
Dropdown
Which team or area do you primarily work in?
- Engineering or Development
- Data or Analytics
- Product
- Design or UX
- Marketing
- Sales or Business Development
- Support or Customer Success
- Operations
- HR or Recruiting
- Finance
- Other
Q15
Long Text
Briefly describe your most recent search task and what you hoped to find.
Q16
Multiple Choice
Did you use any auto-suggestions or query hints that appeared while typing?
- Yes
- No
- I did not notice any suggestions
Q17
Opinion Scale
How useful were the titles, descriptions, and preview information shown in the results for judging whether a result was relevant?
Scale: 1 – 7
Min:Not at all usefulMax:Extremely useful
Q18
Multiple Choice
What were the main reasons you did not use filters or sorting? (Select all that apply)
- Not needed for my task
- Hard to find the controls
- Unsure what each option does
- Too many options to choose from
- Takes too long to apply
- Filters reset unexpectedly
- Not available on my device
- I prefer refining my search query instead
- Other (please specify)
Q19
Multiple Choice
Which three areas would most improve your search experience? (Select up to 3)
- Understanding what I'm looking for
- Query suggestions and autocomplete
- Ranking and relevance of results
- Freshness and recency of results
- Titles, descriptions, and previews
- Filter and sort usability
- Speed and performance
Q20
Multiple Choice
How often do you typically use the product's search feature?
- Multiple times per day
- Daily
- A few times per week
- A few times per month
- Rarely
- Never
Q21
Long Text
What, if anything, made it difficult to express what you were looking for?
Q22
Multiple Choice
Approximately how many search results did you click on or open during that session?
- 0
- 1 to 2
- 3 to 5
- 6 to 10
- More than 10
Q23
Opinion Scale
How effective were the filters or sorting controls in helping you find the right results?
Scale: 1 – 7
Min:Not at all effectiveMax:Extremely effective
Q24
AI Interview
We'd like to explore your search experience a bit further. An AI moderator will ask a couple of follow-up questions based on your responses.
Q25
Multiple Choice
How long have you been using this product?
- Less than 1 month
- 1 to 3 months
- 4 to 12 months
- 1 to 2 years
- 3 or more years
Q26
Long Text
Based on your responses in this survey, please share any additional thoughts, suggestions, or concerns about the search experience.
Q27
Multiple Choice
What device do you primarily use when searching in this product?
- Desktop or laptop
- Tablet
- Mobile phone
- I use multiple devices equally
Q28
Multiple Choice
Which region are you based in?
- Americas
- EMEA
- APAC
- Prefer not to say
Q29
Multiple Choice
What is your age group? (Optional)
- Under 18
- 18 to 24
- 25 to 34
- 35 to 44
- 45 to 54
- 55 to 64
- 65 or older
- Prefer not to say
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
- Walks through the full search journey in one flow — intent framing, query rephrasing, auto-suggestion use, result relevance, and filter/sort usability — rather than treating search as a single generic question
- Pairs opinion-scale metrics (confidence in query wording, result relevance, filter effectiveness, satisfaction, recommend-likelihood) with open-text prompts so you get both trackable scores and verbatim detail
- Includes an optional AI moderator follow-up interview that can probe deeper into a respondent's actual search struggles instead of stopping at fixed-choice answers
- Closes with role, team, tenure, device, and region segmentation plus an auto-generated report, so findings can be sliced by user type for product, UX, and conversion teams
Jotform
Search Results Report Form TemplateThis is a static drag-and-drop form for logging or reporting on search results rather than a structured UX-evaluation survey covering intent, relevance, and filtering as a set. It's fielding-ready in the sense that you can publish it immediately, but the scope looks narrower and more operational than a full search-experience study. Useful if you just need a lightweight capture form, less so for diagnosing why search underperforms.
What it does well
- Quick to build and deploy using Jotform's drag-and-drop form builder
- Free tier available, lowering the barrier to trying it
- Fits into Jotform's broader form/workflow ecosystem (notifications, integrations)
Where it falls short
- Static question set with no adaptive AI follow-up to probe unclear or interesting answers
- No voice AI interview option or guided screen-share tasks for observing real search behavior
- No automated per-response quality scoring or transparent prompt methodology
QuestionPro
Product Search and Purchase Survey TemplateThis template is a genuine comparable offering, framing search evaluation within the broader product search-and-purchase journey rather than isolating search UX specifically. It's a ready-to-field static survey backed by QuestionPro's established CX survey platform. It likely covers purchase intent alongside search, which is a different (broader) angle than a dedicated search-UX diagnostic.
What it does well
- Connects search behavior to downstream purchase outcomes, useful for conversion-focused teams
- Backed by a mature, established survey platform with broad question-type support
- Likely includes standard filtering/rating question types typical of QuestionPro's library
Where it falls short
- Fixed-question static survey with no adaptive AI interview to follow up on ambiguous or negative feedback
- No voice AI interview or guided screen-share task option to observe actual search sessions
- No automated per-response quality scoring, and no published transparency into question logic or prompts
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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