PROBLEM:

The practice of churning (signing up for credit cards strictly for the large signup points bonuses to apply to premium travel, hotel stays, and cash back opportunities) requires discipline and often a personal spread sheet to manage all of your past and current cards. The problem I have encountered is in managing a cumbersome spreadsheet that is hard to read on mobile devices, a pain to set calendar reminders and in keeping up with ever increasing new credit card offers.

OBJECTIVE:

In order to solve this problem I have developed an app/service that would not require users to enter any account access details, but input simple information for example: date of signup, bonus point amount, yearly fee, date planned to close, date closed, etc. This app will be very user-friendly, easy to read by associating  images of the card for quicker interaction with the card information, and provide notifications/calendar reminders based off the user’s entered data. With machine learning, information like new card offers and eligibility requirements, can be pulled from card issuers sites and served up to the user. 

ITERATIONS:

After some user research and user testing the hierarchy of user-entered data has been revised to make it simpler and quicker to add cards to the user’s inventory (wallet). Through the process of developing this concept, it became apparent that a commercial business opportunity may be achievable, while providing a great service to the global credit card “points” community. It may be possible to monetize the app through a subscription service model, premium placement ad space available to banks to promote their new products, as well as affiliate status directing users to a new card application.