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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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
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.
Thinking about the tasks you just completed, how easy would it be to find pricing and plans on a typical website?
Rank the following navigation labels by how important they are as top-level menu items (1 = most important).
- Pricing
- Features
- Solutions
- Resources
- Support
- Company
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.
What is your age range?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Thank you for completing this study. Your input will directly help us improve website navigation and labeling.
Which device do you primarily use when browsing websites or apps?
- Desktop or laptop
- Smartphone
- Tablet
- I use multiple devices equally
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
How easy would it be to find customer support on a typical website?
If you were designing a website menu, what would you label the menu item where users find pricing information?
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.
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
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
How easy would it be to find account or billing settings on a typical website?
Overall, how confident are you that you could find what you need on a new website?
Which region are you currently located in?
- North America
- Europe
- Latin America
- Asia-Pacific
- Middle East & North Africa
- Sub-Saharan Africa
- Other / Multiple
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
How easy would it be to learn how a feature works on a typical website?
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
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
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- 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.
잘하는 점
- 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
아쉬운 점
- 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.
잘하는 점
- 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
아쉬운 점
- 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
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