Empathising with Users

Before we designed our product first needed a better understanding of user behavior and user needs, by using the design framework, we empathised and came up with some user personas with following questions —

•  "Who are the users (that will be using the app)?"
•  "What are their goals and motivation"
•  "What makes my product different? What makes it special?"

Problem

We found that most existing social / dating apps are unintuitive and does not offer users the choice of filters (without a paywall). Additionally, some users never really quite find genuine connections that they are looking for. As we all know, humans are social creatures that thrive on social interactions and activities.

Take Mike, for example, a 28 year old, charismatic, sensitive, and athletic guy. Mike is looking for other users like himself who are also into health and fitness.

Mike lives in a fairly rural area with a small population, all he wants is to find friends who are into fitness like him and similar personality traits.

Solution

Findr, one of your best friends and a unique app designed to help you find new connections. Whether you’re there simply to make new friends, expand your social network, or even find your potential soulmate, it can be all done with Findr!

Findr, prides itself in ensuring that our users are matched with other like-minded individuals. After all, sometimes, all we want is somebody to connect and talk to.

Say for example that Mike has had a change of heart and wants to settle down, he is now looking for someone who fits the follow criteria - committed, serious, kind and spiritual. What happens now? Well, Findr also provides users the flexibility to fine tune results through the use of filters as well!

Findr itself handles the matching behind the scenes, and all you have to do is match!

Features

•  Ability for users to create and edit their profile, tailored specifically to their personality

•  The brain of Findr — the matching algorithm which takes multiple factors into consideration such as age, ethnicity, location, and personality traits, so as to create unique personalised matches

•  Users are able to find and connect (to match) with other users.

•  Ability to specifically edit and tweak your list of potential matches through the use of a detailed filter (in addition to recommendations)

•  Pagination and display options for users to browse using a list or grid view, along with the option to select the number of cards shown per page

•  Messaging feature that allows users to message and communicate with each other after being matched