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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.

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샘플 질문

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질문 20개 · 약 9분
Q01
메시지

Welcome to this study on website navigation and menu design. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest opinions and instincts. Your responses are anonymous and will be reported only in aggregate. This survey takes approximately 10 minutes to complete. Please proceed when you are ready.

Q02
드롭다운

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
순위 매기기

Please rank these main menu items from most expected (top) to least expected (bottom) on a typical product website.

  1. Products
  2. Pricing
  3. Solutions
  4. Resources
  5. Support
  6. Company
드래그하여 순위 지정
Q04
객관식

Which menu label best describes content such as guides, templates, and webinars?

  • Resources
  • Learn
  • Library
  • Education
  • Help Center
Q05
객관식

Imagine you are on a product website. Where would you look first to find pricing information?

  • Products
  • Pricing
  • Solutions
  • Resources
  • Support
  • Company
Q06
AI 인터뷰

Based on your experiences and the questions in this survey, what matters most to you when navigating a website for the first time?

Q07
드롭다운

What is your age group?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q08
메시지

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
의견 척도

How confident do you feel navigating websites to complete tasks (e.g., finding information, making a purchase)?

척도: 1 – 7
최소:Not at all confident최대:Extremely confident
Q10
객관식

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
객관식

Where would you look first to find a product demo or free trial?

  • Products
  • Pricing
  • Solutions
  • Resources
  • Support
  • Company
Q12
장문형

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
객관식

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
장문형

If a menu item is labeled "Solutions," what type of content would you expect to find? Please list a few examples.

Q15
객관식

Where would you look first to find customer case studies or success stories?

  • Products
  • Pricing
  • Solutions
  • Resources
  • Support
  • Company
Q16
드롭다운

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
의견 척도

Overall, how clear or unclear do you find the menu labels discussed in this survey (e.g., Products, Solutions, Resources)?

척도: 1 – 7
최소:Very unclear최대:Very clear
Q18
객관식

Where would you look first to find technical documentation or API guides?

  • Products
  • Pricing
  • Solutions
  • Resources
  • Support
  • Company
Q19
드롭다운

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
객관식

What is your current employment status?

  • Employed full time
  • Employed part time
  • Self-employed
  • Student
  • Not employed
  • Retired
  • Prefer not to say

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 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 Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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 & Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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

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