Q01
Message
All templatesProduct & UX
Website Navigation Findability Tree Test
Measures how intuitively users locate key tasks within a website's information architecture. Use this to validate navigation labels, identify findability gaps, and prioritize structural improvements.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
22 questions · ~10 min
Q02
Multiple Choice
How often do you use new websites or apps to complete tasks?
- Daily
- A few times a week
- About once a week
- A few times a month
- Less often
- Never
Q03
Message
For the next set of questions, imagine you are visiting a new website for the first time. We'll describe a task, and you'll tell us where you'd look first to complete it. There are no right or wrong answers — go with your first instinct.
Q04
Opinion Scale
Thinking about the tasks you just completed, how easy would it be to find pricing and plans on a typical website?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q05
Ranking
Rank the following navigation labels by how important they are as top-level menu items (1 = most important).
- Pricing
- Features
- Solutions
- Resources
- Support
- Company
Drag to rank
Q06
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about website navigation, labels, or where you expected to find things.
Q07
Multiple Choice
What is your age range?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Q08
Message
Thank you for completing this study. Your input will directly help us improve website navigation and labeling.
Q09
Multiple Choice
Which device do you primarily use when browsing websites or apps?
- Desktop or laptop
- Smartphone
- Tablet
- I use multiple devices equally
Q10
Multiple Choice
Imagine you need to find pricing and plan options. Where would you look first?
- Pricing & Plans
- Features
- Product
- Account / Billing
- Get Started / Sign Up
- Support / Help
- Company / About
- Search
Q11
Opinion Scale
How easy would it be to find customer support on a typical website?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q12
Long Text
If you were designing a website menu, what would you label the menu item where users find pricing information?
Q13
AI Interview
We'd like to explore your thoughts on website navigation a bit further. An AI moderator will ask a couple of follow-up questions based on your responses.
Q14
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Q15
Multiple Choice
Imagine you need to contact customer support. Where would you look first?
- Help Center / Support
- Contact Us
- Chat icon
- Account
- Community / Forum
- Email link in footer
- Search
Q16
Opinion Scale
How easy would it be to find account or billing settings on a typical website?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q17
Opinion Scale
Overall, how confident are you that you could find what you need on a new website?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q18
Dropdown
Which region are you currently located in?
- North America
- Europe
- Latin America
- Asia-Pacific
- Middle East & North Africa
- Sub-Saharan Africa
- Other / Multiple
Q19
Multiple Choice
Imagine you need to change your account or billing settings. Where would you look first?
- Profile avatar menu
- Account / Billing
- Settings
- My Account
- Help Center
- Footer links
- Search
Q20
Opinion Scale
How easy would it be to learn how a feature works on a typical website?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q21
Multiple Choice
Which of the following roles best describe you? Select all that apply.
- General consumer
- Student
- Business decision-maker
- Developer / Engineer
- Designer / UX
- Marketer
- Customer support
- Operations
- Other
Q22
Multiple Choice
Imagine you want to learn how a specific feature works. Where would you look first?
- Help Center / Docs
- Product tour / Onboarding
- Tooltips / Help icons (?)
- Blog / Resources
- Community / Forum
- Search
- Contact Support
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
- Includes realistic task scenarios (finding pricing, support, billing, feature info) that mirror a true tree-test methodology, not just general satisfaction questions.
- Pairs each scenario with an ease-of-use opinion scale and a ranking exercise for top-level navigation labels, giving both quantitative and comparative findability data.
- Adds an open-text 'design your own label' question plus an adaptive AI follow-up interview to probe why users expected navigation items where they did — something static form tools can't do.
- Closes with role/demographic screening questions so findability gaps can be segmented by user type, device, or experience level.
QuestionPro
Website Information Quality Survey TemplateThis is a static, fieldable survey template focused on perceived website information quality (accuracy, trustworthiness, clarity) rather than navigation findability or tree testing. It's a reasonable general-purpose website feedback template on an established survey platform, but it doesn't include task-based navigation scenarios or label-ranking exercises.
What it does well
- Ready-to-use template on a mature survey platform with broad distribution and reporting tools
- Likely customizable question set for general website content quality
- Familiar multiple-choice/rating format that's quick for respondents to complete
Where it falls short
- No navigation-specific tasks (e.g., locating pricing, support, billing) or top-level label ranking
- Static question set only — no adaptive AI follow-up to probe why users struggled to find something
- No transparent, publishable prompt methodology since there's no AI component
SurveyMonkey
Website Surveys: Questions & TemplateThis page reads as a general guide/category resource on website feedback surveys with sample questions, rather than a single ready-to-field navigation tree test. It's useful for broad satisfaction or usability feedback but not built around structured findability tasks or IA validation.
What it does well
- Backed by a well-known survey platform with strong distribution and basic analytics
- Offers flexible question types for general website feedback
- Easy to launch quickly for broad audience feedback
Where it falls short
- No dedicated navigation/tree-test task flow (pricing, support, billing, feature findability)
- Static form only — no adaptive AI interview or voice AI option to explore user reasoning
- No automated per-response quality scoring or transparent AI prompt methodology
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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