We are looking for research-driven students, who can analyze our users data set in order to help us build customer-impacting features that require relatively straight-forward models.

The project will consist of two deliverables:

Phase I: To utilize the 22,000 check ins and several reflection entries to find different customer trends and insights that we may be able to provide back to the user to learn something about their underlying behavioural trends.

Phase II: Build meaningful and insightful trend analysis of a users data at an individual level.

About CheckingIn:

CheckingIn is a self awareness app that is empowering people to enhance their mental well being through a daily mindful check in.

Users tune into their energy levels and emotions and subsequently provided with a reflection question to help them to reflect on their daily lives. We are building a community of people that believe in pausing and taking a moment to look inside themselves in order to understand the underlying emotions/behavioural sources of those feelings. In time, we present them with trends and insights into their patterns and behaviours allowing them to learn more about themselves.