
Key Features Delivered:
Key Milestones & Impact:


Before the revelation of profile photos, the matches would only be shown emojis selected by the corresponding users. This amusing enigma stimulates fantasies and creates a real level of expectation of what lies ahead.
The matching algorithm compares hobbies, values, life goals, and personality types to bring out prospects that are very compatible with the user so that he/she can see the person that the user would actually want to date.
Before match decisions are made, users take a deeper look into profile biographies, answer questions, and share stories to form a more powerful image of the potential partners in the beginning.
After matching, the app proposes the subjects of conversation based on the similarity of interests, which removes the embarrassing silence and facilitates a real conversation.
Once the mutual interest is established, the profiles open in stages, initially emojis, then photos, and further personal information, and the excitement persists during early interactions.
Photo verification and profile completeness will make sure that the user is communicating with real people who are keen on serious associations.

We treated Word of Mouth as a social experiment of redefining human interaction and not as a technical project. All these decisions were confirmed by research on user psychology and live practicality when it comes to those daters who could not find anything different.
Hold focus groups of single people who have been sick and tired of the appearance-crazed dating applications, confirming that matching on a personality basis prior to the first tap of a keyboard key is warranted.
We had to make several prototypes that examined various reveal effects, emoji-choosing user interfaces, and our preference for bio presentation before we settled on the ideal mystery/information mix.
Created an advanced compatibility engine that examines tens of dimensions of personality so that the resulting matches are based on actual compatibility and not mere convenience.
Created on a quick cycle development with beta users providing feedback on every feature in the development to make sure that the final product would be acceptable to the real daters, as opposed to what we thought would be acceptable.
Installed an in-depth validation, reporting, and safety tool to keep the users safe without compromising the open and authentic environment of the app.
Launched with special marketing to the first movers that needed to know about meaningful interactions, collecting feedback that keeps propelling further enhancement and addition of features.
Technologies

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