Hello fellow founders & co founders. I have designed an mobile application that will feature a algorithm that will take the users data from a 36 questionnaire and tag each profile with a certain color that will correlate to a particular psychological profile. Each of the users will be asked to answer particular questions from Myers brigs test, Attachment theory test and 5 love languages test and the app will generate a color. The app will suggest matches that are 80% or better.
What would you recommend is the best way to go about this?
I also believe that the world needs something newer than apps like Tinder and have studied the market extensively.
Personally I do not believe there is any future in AI dating apps. The reason is that not only is it inefficient to calculate potential love stories with technology, but also a main issue is that if by miracle you have developed the love making AI algorithm, even if you become the world's biggest dating app like tinder, this would still leave users with very few matches. You are constrained by the fact that users must be close in location and be active on the app. Also consider that out of 30 matches on Tinder, if 2 lead to something you are already lucky. And to get 30 matches on Tinder the average person will have to swipe an extensive amount of people. Therefore, narrowing down matches so much with AI means your users will get very little movement.
And to even get there you would have to gain 10 of millions of users in an already crowded market. Your "screening process" exists in similar apps which have failed due to the reasons I stated above. Do not get mislead by the amount of downloads of an app, it does not correspond to the active user base.
To improve online dating I would advise going in the opposite direction by focusing on finding a way to capture the widest worldwide user base possible. People are good at deciding who they want to go on a date with. Current apps lack enough users for people to go on as many dates that they would like.
To conclude, focus on scalability potential for a dating app, not match quality. That can be introduced when you have 500 million users, but you can't do it the other way round.
Hi Alexa, The approach you are taking is quite innovative however I believe it will lead you to what most dating apps currently cater too i.e profiling based on set information provided by the user. This is how traditional matchmakers work as well. A different approach would be, analyzing how users are spending their attention and drawing similarities to others who also have similar patterns and try to provide recommendation. The point here being humans are not static beings, and long questionnaires need not necessarily be the correct responses. Instead if you are able to tap in other subconscious behavior patterns, that might be a better predictor of people having similar wavelengths.
The best way I see something like NLP being incorporated into a dating app would be within the chat feature. It could help generate questions regarding common interests, or come up with ideas on where to get lunch. This "wingman" feature could help keep conversations flowing as people attempt to create a connection.