Navigation App Map Accuracy & Update Speed Assessment
Measures user perceptions of map/GPS accuracy, update timeliness, and improvement priorities in navigation apps. Designed for product and UX teams seeking to benchmark trust, identify pain points, and prioritize fixes.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How often do you use a map or navigation app (e.g., Google Maps, Apple Maps, Waze)?
- Several times a day
- About once a day
- A few times a week
- Once a week or less
- Rarely or never
Overall, how confident are you that the places and addresses shown in your map app are accurate?
Based on your experience, how quickly do map updates typically appear in your area?
Rank the following improvements from most important to least important for your mapping experience.
- Faster map updates
- Higher location/address accuracy
- More precise GPS/blue-dot positioning
- More reliable traffic and speed data
- More up-to-date business info (hours, status)
- Easier issue reporting and quicker fixes
- More robust offline maps
Briefly describe a recent time (within the last 90 days) when the map felt wrong or slow to update. What happened, and how did it affect you?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your time — your feedback helps improve map quality for everyone!
Which map or navigation apps do you use regularly? Select all that apply.
- Google Maps
- Apple Maps
- Waze
- MapQuest
- HERE WeGo
- Sygic
- Other
In the past 30 days, which of the following map accuracy issues have you experienced? Select all that apply.
- Incorrect or missing address/place
- Business listed with wrong hours or status (e.g., permanently closed)
- Road or route that no longer exists or was changed
- GPS/blue dot positioned incorrectly
- Traffic or speed data that didn't match reality
- Directions that led to a wrong location
- None of the above
Rank the following types of map changes from most urgent (should be updated fastest) to least urgent.
- New or changed road/intersection
- Permanently closed business
- Updated business hours
- New speed limit or traffic regulation
- New point of interest (restaurant, shop, etc.)
- Construction zone or temporary closure
Based on your survey responses, we'd like to explore your map accuracy and update speed experiences in a bit more detail.
Which best describes your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
When did you last use a map or navigation app?
- Within the past hour
- Today
- In the past 3 days
- In the past 7 days
- In the past 30 days
- More than 30 days ago
Overall, how much did map accuracy issues affect your ability to complete what you were trying to do in the past 30 days?
Have you ever reported a map issue or suggested an edit?
- Yes, within the last 30 days
- Yes, within the last 12 months
- Yes, more than a year ago
- No, never
In which region do you primarily use map apps?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Prefer not to say
What best describes the outcome of your most recent map issue report or suggested edit?
- Fixed within 24 hours
- Fixed in 2–7 days
- Fixed in 1–4 weeks
- Fixed after more than a month
- Not fixed
- I'm not sure
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.
이 템플릿을 선택하는 이유
이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.
차별화 포인트
- Goes beyond a static form with an AI follow-up interview that adaptively probes each respondent's map accuracy and update-speed experience based on their own prior answers.
- Uses ranking questions to force explicit prioritization of both map change types (e.g., new roads vs. business closures) and desired improvements, giving product teams a clear fix-order signal rather than just satisfaction scores.
- Combines opinion-scale measures (confidence in accuracy, impact of errors, perceived update speed) with an open-text recall question, so teams get both quantifiable trust benchmarks and a concrete recent-incident narrative.
- Every response is automatically quality-scored and rolled into an auto-generated report, with transparent prompts showing exactly what the AI asked and why.
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
같은 카테고리의 다른 설문을 만나 보세요.
이커머스 경험 및 유지 설문조사
온라인 쇼핑객의 목표 달성, 마찰 요소, 경쟁 행동, 유지 요인을 측정하여 영향력이 큰 UX 및 서비스 개선 사항의 우선순위를 정합니다.
템플릿 보기Cross-Locale Format Interpretation & Preference Survey
Measures how users across world regions interpret and prefer date, time, number, and currency display formats, providing product and UX teams with actionable localization insights to reduce ambiguity and formatting errors.
템플릿 보기Integration Partner Prioritization & Switching Cost Assessment
Helps product and platform teams rank integration partners by business impact, quantify switching costs, and identify the biggest blockers to partner changes. Designed for integration decision-makers and technical stakeholders.
템플릿 보기기능 폐지 위험 및 마이그레이션 준비도 설문
제품 기능을 폐지하기 전에 사용자 의존도, 대체 방안 패턴, 전환 준비 상태를 평가합니다. 데이터 기반의 폐지 여부(go/no-go) 결정을 내리는 제품팀을 위해 설계되었습니다.
템플릿 보기Product Feature Prioritization Survey: Impact, Urgency & Adoption Rankings
Collects stakeholder rankings of proposed product features across three dimensions—impact, urgency, and adoption speed—to provide data-driven input for roadmap prioritization decisions.
템플릿 보기E-commerce Ops Feature Prioritization & Adoption Readiness Survey
A product-discovery instrument for e-commerce operations professionals that identifies operational pain points, prioritizes potential capabilities, and measures adoption readiness and willingness to pay.
템플릿 보기