Science-based platform created with world-leading sleep experts to improve a sleep.

What I did:

To create the ideal sleep training plan, we first need to get to know our user by learning about his daily habits, sleep schedule and overall lifestyle. We can sync his 3rd party device or get answers thru survey.

Advanced algorithm determines a sleep training plan personalized to what suits user best. As his progress, the plan is adapted so that it’s always relevant.


Analysing Goals


The first step to executing a successful approach is to clearly define its goals, including determining what qualifies as a success or a failure, and have users take on various tasks and provide feedback.

The process started by transforming clinician treatment plan to simple, personal, and purely mobile experience.

Discovery vs. Suggestive interface

We start with an experience encouraging user exploration and discovery of unlimited options.

Then we realized that users likely arrive with a particular intention, so we continued to encourage exploration by suggesting relevant options along the way, but the main flow was converted to strict plan that save them time and needless steps.

Part of “Discovery” flow

Part of “Suggestive” flow

We expanded the app’s role evolving into a trusted advisor, incorporating information related to the treatment at hand.

Design Language

We created the products’ colorful and clean visual system to make interactions feel effortless.


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