Q01
Message
All templatesProduct & UX
Website Navigation & Menu Label Findability Study
Evaluates how users perceive and navigate website menu structures, measuring label clarity, mental models of information architecture, and findability of key content areas. Ideal for UX researchers and product teams validating navigation designs.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
20 questions · ~9 min
Q02
Dropdown
In the past 3 months, how often have you visited company or product websites?
- Daily
- Several times a week
- About weekly
- A few times a month
- Rarely
- Never
Q03
Ranking
Please rank these main menu items from most expected (top) to least expected (bottom) on a typical product website.
- Products
- Pricing
- Solutions
- Resources
- Support
- Company
Drag to rank
Q04
Multiple Choice
Which menu label best describes content such as guides, templates, and webinars?
- Resources
- Learn
- Library
- Education
- Help Center
Q05
Multiple Choice
Imagine you are on a product website. Where would you look first to find pricing information?
- Products
- Pricing
- Solutions
- Resources
- Support
- Company
Q06
AI Interview
Based on your experiences and the questions in this survey, what matters most to you when navigating a website for the first time?
Q07
Dropdown
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Q08
Message
Thank you for completing this survey! Your responses will help improve website navigation and menu design. All data will be reported in aggregate. If you have any questions about this study, please contact the research team.
Q09
Opinion Scale
How confident do you feel navigating websites to complete tasks (e.g., finding information, making a purchase)?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q10
Multiple Choice
Which menu label best describes content such as customer case studies, industry-specific use cases, and implementation examples?
- Solutions
- Use Cases
- Industries
- Success Stories
- Products
Q11
Multiple Choice
Where would you look first to find a product demo or free trial?
- Products
- Pricing
- Solutions
- Resources
- Support
- Company
Q12
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about website navigation or menu labeling that we haven't covered.
Q13
Multiple Choice
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q14
Long Text
If a menu item is labeled "Solutions," what type of content would you expect to find? Please list a few examples.
Q15
Multiple Choice
Where would you look first to find customer case studies or success stories?
- Products
- Pricing
- Solutions
- Resources
- Support
- Company
Q16
Dropdown
Which region do you currently live in?
- North America
- Europe
- Latin America
- Middle East & North Africa
- Sub-Saharan Africa
- South Asia
- East Asia
- Southeast Asia
- Oceania
- Prefer not to say
Q17
Opinion Scale
Overall, how clear or unclear do you find the menu labels discussed in this survey (e.g., Products, Solutions, Resources)?
Scale: 1 – 7
Min:Very unclearMax:Very clear
Q18
Multiple Choice
Where would you look first to find technical documentation or API guides?
- Products
- Pricing
- Solutions
- Resources
- Support
- Company
Q19
Dropdown
What is the highest level of education you have completed?
- Less than high school
- High school or equivalent
- Some college / trade
- Bachelor's degree
- Master's degree
- Doctorate
- Prefer not to say
Q20
Multiple Choice
What is your current employment status?
- Employed full time
- Employed part time
- Self-employed
- Student
- Not employed
- Retired
- 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
- Includes a ranking exercise where respondents order main menu items from most to least expected, directly testing information architecture assumptions
- Uses targeted 'where would you look first' multiple-choice questions for pricing, demos, case studies, and technical docs to pinpoint findability gaps for specific content types
- Pairs an open-text question on what a label like 'Solutions' should contain with an adaptive AI follow-up interview that probes each respondent's own reasoning in real time
- Auto-generates a report from scored responses, with fully transparent AI prompts rather than a black-box scoring model
QuestionPro
Website Information Quality Survey TemplateThis is a general website information-quality template focused on content trust and completeness rather than menu labels or navigation mental models specifically. It's a fielding-ready static template within QuestionPro's broader survey platform, but the questions aren't built around findability tasks like locating pricing, demos, or docs. Useful as an adjacent website-research template rather than a direct navigation-testing tool.
What it does well
- Established survey platform with broad question library and reporting tools
- Customizable template that can be adapted for various website research needs
- Backed by analytics dashboards typical of QuestionPro's enterprise features
Where it falls short
- No adaptive AI follow-up questioning — respondents can't be probed further on their reasoning
- Not designed around navigation-specific tasks (e.g., menu ranking or 'where would you look first' scenarios)
- No published per-response quality scoring or transparent AI prompt methodology
SurveyMonkey
Website Surveys: Questions & TemplateThis is a broad website feedback template covering general satisfaction and usability questions, not a dedicated navigation or menu-label study. It reads more like a general-purpose starting point/question bank than a purpose-built findability test. Good for overall site sentiment, but lacks structured tasks isolating information architecture comprehension.
What it does well
- Well-known, easy-to-use survey builder with broad brand trust
- Large library of pre-written website feedback questions
- Logic branching and integrations available on their platform
Where it falls short
- No adaptive AI interview to explore why users expect certain content under certain labels
- Lacks specific findability tasks (e.g., ranking menu items, locating pricing/demo/docs)
- 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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