Ride Trends

Hypothesis
By nudging riders with time flexibility to plan their trips, we can help some segments to riders to afford their rides at a better price.

Result
One of the top widgets in our feed ecosystem for top markets.

Publications

• https://engineering.grab.com/peak-shift-demand-travel-trends →
• https://www.techinasia.com/built-widget-grab-help-users-predict-fare-surge →

Some processes and details are being left out for privacy and confidentiality reason.

Summary

Ride trends project is the first project that I collaborated with the Behavioral Science team at Grab. The feature is built within a month from inception to launch in Singapore and Jakarta, which is a great feat given it's a cross-department collaboration work. As the designer of the project, I partnered up with the PM and held a short ideation workshop among the working group to gather ideas. We then took a vote on which ideas resonate the best with our product success metrics and intentions. I then went back to the drawing board and combined these ideas into a few prototypes. This process took a few iterations by sharing them early with the teams and guerilla testings. The outcome of that process is a prototype that we are highly confident with, which we then took for a usability testing session. From usability testing, I'd make a report to highlight any usability issues and findings. I shared my recommendations for MVP and the ideal version and updated my design accordingly. For handover, we used Zeplin, and I made a habit of creating interactive prototypes to help developers understand the design intention visually.