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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
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
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.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- 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.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.