I would structure my answer as follows:
1. Clarifying the question
What could I do if Google had developed a technology that measures energy levels and motion to detect a user’s emotions?
2. Brainstorm possible products that could leverage this technology
An app that detects your pets emotions so that as a pet owner, you can better understand/care for your pet
An app that detects elderly people who have issues communicating with their loved ones
A tool to help therapists understand how patients, particularly children, really feel about a specific issue during a therapy session
A wellness app that recommends yoga, meditation techniques and diet tips based on users’ current mood/emotions
3. Focus on one idea and develop a product for it
I am choosing to design a product for the last idea: a wellness app that recommends yoga, meditation techniques and diet tips based on users’ current mood/emotions
This product would be integrated as a new app for an existing wearable product, like Google Watch for example. It would use a number of user data including energy levels and motion to detect the user’s current set of emotions, and which of these emotions is prevalent at a given point.
I would focus on negative/challenging emotions, since this is the type of situation where a user would want to feel better and improve their mood.
I’d start with a list of the 6 basic emotions, which could be expanded upon later based on initial data:
Some use cases where I envision the app being used:
User feeling afraid during a flight
User feeling anxious before a job interview
User feeling sad after receiving difficult news
User feeling angry after a bad day at work
The user would open the app and be presented with an emotional evaluation detailing how the user is feeling, what the prevailing emotions are, and presenting recommendations based on the user’s contextual preferences in that particular moment.
There would be 3 main sections for the user to pick based on their context and goals:
Meditation sessions (specific goals and lengths available based on user’s preferences)
Yoga sessions (different goals and lengths available based on user’s preferences)
Diet recommendations (different type of recipes/snack suggestions based on season and time of day)
Over time, the app would gather and analyze both qualitative and quantitative data in order to optimize and personalize recommendations for the user:
4. How would I measure success?
Like any app, I would look DAU/WAU/MAU to understand how engaging and effective the app is in driving users to engage with it regularly
To understand the app effectiveness, in addition to ratings and engagement metrics, I would measure how the user’s emotions change after the user engages with the app (E.g. can we see a decrease in negative emotions after the user engaged in a meditation session to manage their fears?)