Discover how WiFi really performs — and help build the data.
WiFiTraveller is a global data collection initiative measuring real WiFi performance in physical locations.
Every test contributes to building an open, real-world dataset of WiFi performance.
Traditional reviews reflect opinions.
WiFiTraveller is based on real-world measurements.
Built on research. Powered by real-world data.
Latest real-world measurement
London · Hotel
Good
Reliable for video calls and streaming
Based on user-submitted measurements. Performance may vary.
How it works
1. Test
Users measure WiFi in real locations using the app.
2. Classify
Results are translated into clear quality levels such as Poor, Good, or Excellent.
3. Discover
Travellers can understand how WiFi actually performs in the real world.
Why it matters
Not opinions
No reviews, no stars, no bias.
Real data
Only observed technical measurements collected in real places.
WiFiTraveller does not rate venues or provide opinions.
It collects and displays observed WiFi performance based on real-world measurements.
Research discovers the problem.
Data helps reveal it in the real world.
Why not just use a speed test?
Speed tests measure internet speed at a single moment.
They do not tell you whether WiFi actually feels reliable in a real place.
What speed tests miss
Single-moment results
One position only
Limited view of signal quality
Little context about real usability
What WiFiTraveller adds
Real-world measurement context
Observed WiFi quality classification
Simple outcomes people can understand
Data that helps build a broader public dataset
A place can show a high speed test result and still feel unreliable in practice.
WiFiTraveller is designed to help reveal that difference.
Help build the global WiFi dataset
Simple tests. Real-world insight.
For structured validation and certification, visit
WiFiCert .
WiFiTraveller is a data collection initiative by the WiFi Quality Institute (WQI)
Operated by WiFiCert Ltd (UK)
Data is based on real-world measurements and may vary depending on time, device, and network conditions.