Prioritising features with Kano modelling
After reaching out to 500 users we created a roadmap to build the features they found most attractive. We ranked the features by attractiveness and built the ability for our users to collect rewards during the summer of 2019 - 2020. Customers wanted to be able to tell when their drink order was ready, so we built a push notification service to let them know.
Users also wanted to be able to order chilled drinks, so this was the next feature we launched to the public and customers also voiced in the survey that they would like to pre-order food so we are currently figuring out the operational side to make this happen.
Our final iteration called on a user research panel of new users and power users who helped us with the ability to test the new ordering flow, and the expansion of our drink customisations. The range of users we selected helped us ensure what we were designing was ideal for every user, not just for a specific audience. With the usability of our designs benchmarked, we were able to launch the MVP and within 6 months of going live, we had scaled to 170 pre-order locations and established a continuous dialogue with our customers for ongoing optimisation.