Google recently developed a technology that can detect human emotions in a 2 X 2 dimension (energy level and body movement). What are some of the products you can build using that technology? List a few ideas, then choose one and design the product for that idea.
Clarifying questions -
1) Is the technology an app or can it be integrated with excisting software? I'm assuming it can be integrated with existing products.
2) Does the technology use a camera in order to detect human emotions?
Before brainstorming some ideas, I'd like to understand the value of the tech:
- knowing/understanding human emotions can help product owners/companies understand how users are reacting to experiences or suggest relevant ads
- between customers, the tech would help people communicate honestly
- in a health product, such as mental health - the tech could help track effectiveness of treatements, therapy sessions
- for the wearables industry, it could help track workouts and your mental health
- for users who have a vision imparement, it could help them understand their surroundings better
Ideas of products -
1) Scenario for medical professionals who conduct therapy sessions - use the tech to deeper understand how a certain medicine/treatement is impacting a patients recovery journey
2) Scenario for wearables - use the tech to help identify users mental patterns and feed the data into a feedback loop for other integrated products. One use case here would be if there's an indication of low energy levels for the user, suggesting motivation tips or showing an incentive to take a fitness class somewhere
3) Scenario 2 for wearables (for customers with vision imparements) - similiar to the Bose sunglasses product where there's a speaker in the sunglasses. We can integrate the tech within the sunglasses to help users with a vision imparement understand more contextual clues with people their speaking with
4) Scenario for parents with young kids - Parents may have a hard time understand their child in various settings. This tech could be surfaced in a way to help provide the parents more info about a specific situation. For example, if their child got caught shoplifting and later in was having a discussion with their parents to help them understand why it happened - parents could get real time details on how their child feels (remorse, revenge etc..)
5) Scenario for product owners - user sentiment is very valuable when building a great exprience. Being able to gauge that effectively without the users having to fill in a feedback form would be great. One scenario here would be to understand how users feel about ad relevance. Is the ad ranking model working and providing value to cusomers? Are the ads relevant enough? Having the tech as an one of the indicator of success of an ad feature (you can pick any feature, I think it's valuable anywhere) would be a good signal to look at.
Since I'm a product owners, I resonate with the last scenario really well. Let's assume the product I'm working on is ads. The questions I have that the tech will help answer are:
1) Are ads relevant enough
2) Are ads annoying the customer
3) What could we improveme/experient with when it comes to ads? It could be placement, size, messaging
4) Another strech idea is to input the emotions in customers daily commute. For example, if the tech can track when a user is hungry - suggesting food options on their route home from work would be interesting.
I would first understand how costly it is to integrate the tech with existing search. If it's easily integrateble then I would A/B test it with a small subset of users. There's a privacy component associated with the integration. Will users feel comfortable with Google watching their emotions? We would need to pull together a value prop. Assuming they're comfortable I would define a set of key metrics to track. Since ads is a mature feature, gathering a set of baseline metrics would be easy. I would experiment with different ways to show contextual ads and measure that against how users are feeling.
To summarize, since Google likes to build their products in house. We would test how well the tech does in house before contracting it out to other vendors. I can see many different ways the tech will help other products.