Mapillary

Mapillary is a service for crowdsourcing street level photos.

geolocated photo sequences with simple tools such as smartphones and action cameras.

THE CHALLENGE

Identify usability issues and task flow problems that users face in the app.


Knowing that Mapillary’s purpose and usership expands the entire globe, we knew from the start that Remote Moderated Research (RMR) was going to be used.

THE METHOD

We conducted Remote Moderated Research (RMR) in the form of usability tests via video chat and screen sharing software.

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UX FINDINGS

We were able to identify three of the most critical user issues:

  1. Without a GPS signal users cannot create sequences
  2. Users struggle to locate, edit and merge broken sequences
  3. The uploading process uses a great amount of bandwidth

UX SOLUTIONS

The straightforward UX Findings led to straightforward solutions. For Mapillary we recommend:

GPS dependency

Removing the GPS dependency and allowing users to use the app with their GPS signals on or off, depending on their own needs, willingness and GPS availability

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Upload a sequence

Accommodating to the global variation of internet availability and connectivity by allowing users to selectively upload a sequence with the ability pause in between

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Mapillary

Mapillary is a service for crowdsourcing street level photos.

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