Daytify is an app assistant that helps people lead happier lives by identifying what makes them happy on their best days. Adults are the primary audience for Daytify as they seem to be more overwhelmed with the fast pace of life and unable to monitor their own happiness and wellbeing.

Daytify is an active assistant, meaning that it relies on user inputs which tell the story of the user’s happiness over time as numerical values. The minimum viable product (MVP) includes push notifications which pull the user into the app where they provide a score for the day and tap on key events which took place, whether a peak or pit moment.

The concept for Daytify came about from reading books on cognitive and behavioral psychology. I realized that we get so caught up in the here and now, the current moments of the experiencing self that we fail to recall how happy we were just days or even hours before. I believe people will be happier when they can view an accurate record of the daily happiness scores they’ve input.

A challenge for Daytify is breaking through the clutter and noise of technology today. The app cannot survive without becoming a daily or weekly habit. And the effort must be minimal with a powerful sense of reward, both variable and fixed through a steady stream of feedback and call to action triggers. These rewards are currently visual emojis to represent their score, positive feedback messages, and color-coding of the day which will display a heatmap view for each month.

Ideally Daytify would be mostly passive, capturing data from various inputs identified by the individual, but this becomes vastly complicated to develop as an iOS app. I’m facing many challenges as I have never developed an iOS app, so the MVP will be primarily data input by the user.

Daytify could help people realize the causes of their peak and pit moments in life along with a reliable record of the quantity for each. This insight should influence them to make meaningful life changes based on what they learn about themselves.