Even though we did not know all the possibilities of the neural network, we wanted to develop smooth user experience that would work like magic. Therefore, our design process was a little bit different.
We ran the ideation workshop with a project team. We started with the question:
Who has experience with services based on neural network?
How positive is it?
The goal was to find out the process that is used in recognition by photo services and is familiar to users.
We realized that people will not give a second chance if no results were found.
We decided that in MVP we will check the quality of the neural network, thus we will be able to highlight the blockers which user might experience.
In the next version, we will focus on the ways of monetization and improving recognition quality.
We have described the possible recognition results
We worked out the user scenarios and general structure of the mobile application based on network capabilities.
During the prototype stage we only used Native iOS controls for fast development and to be flexible for upcoming changes.
This solution helped us to release the MVP in 2 weeks.
Although we didn’t have time for usability test, we did some quick testing with internal team for basic usability issues and in app communication. We were able to understand that the results screen was really important as it provided clear in-app communication.
The next steps would be to make more rigorous user testing with customers, so we can get more insights.
Additionally, we planned to build web-app to drive more traffic.
Technologies