A feature for dating apps that provides the opportunity for any user to get their profile improved by making other users of the opposite (or/and same for homosexual and bisexual people) sex vote and give suggestions on how to do it.
It's arguably the best approach for improving your profile and getting more matches, especially if plenty of users would review it since those users are the ones who deal with similar profiles on the app and know what they prefer. It's like getting feedback from your "customers".
Make people enjoy dating apps more by giving them more matches and boosting their self-esteem.
Increase the quality of the platform and attract more (or more serious) users.
Earn income by charging a fee for the reviewing process.
Give reviewers temporary access to the premium version of the app as a reward - this way they get to try it and might decide to buy it.
The user who wants to improve their profile this way pays a one-time fee for the app, and those who review get benefits, for example - the availability to some of the features of the app's premium version for some time (they might have to review a certain number of profiles to get the reward).
The app would offer users to review some profiles from time to time similarly as it now suggests upgrading to a paid subscription, just the subscription would be a reward and it would be temporary unless you reviewed a lot of profiles, then you'd get a permanent free upgrade.
Reviewing process: the app would first display a number of different, common aspects of how can one improve his/her profile, for example: "add more pictures", "profile too empty, add something more than just pics", "mistakes in your text", "write in English if you can", "use different pictures", etc. The reviewer would check the profile and select those he/she thinks would be useful for that person.
Some of those options would have a drop-down menu for you to specify and include additional aspects, for example: "use different pictures" would allow you to further choose from the following: "better quality pictures", "pictures where your face is more clearly visible", "don't use smartphone selfies", etc. You could also type in your own suggestions.
The typed-in suggestions would be an important part, so the reviews would have to then undergo a moderation phase from staff working for the app. This is, first of all, for the user not to receive inappropriate or insulting remarks and second, to be able to take account of similar remarks and give a percentage of the reviewers suggesting that. An alternative would be to use an AI-powered NLP system to read, group, and estimate the typed-in suggestions. the staff or a GTP-3-like algorithm would then converge similar suggestions into one best output that the user would see in his profile review summary.
After the reviewing period, the user gets a summary of the most important suggestions and the percentage of reviewers making them along with the total number of reviewers. The more users will review the profile the more effective this will be that's why the platform should use good incentives to encourage people to participate.
Since people likely wouldn't care (or wouldn't care as much) about feedback from users they don't want to match, the algorithm could select only those users as reviewers whose profiles approximate those you often swipe right on.
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