PORTFOLIO
CreditStar : Credit Default
Prediction Web App
Project Overview
The product is centered around creating a web app that will predict if a subject will default a credit card payment or not
Client Details
Designer: Olawale Adediran, Peace Adejoh, Toluwase Ayenigba
Category: Product Design, SaaS, Fin Tech. Web App
Device: Web app, Web design
Duration: 2 Months
Tools: Figma, Adobe Illustratior, Whimsical, Google docs, Google Survey
Date: May 2021
Research Summary
From our research, we were able to deduce the following:
- 100% of the population accented to the fact that they have faced the problem of credit defaulters.
- The prevailing methods of solving this problem are disposing of collateral and summoning the guarantor, and 67% indicated that these methods have not been totally effective.
After validating the problem through user research, 100% of the users indicated interest in a product that would solve their problem in this way, and the willingness to provide the necessary information to use such a product.
The Why:
The Who:
The How:
The What:
- Send message of response to the applicant
- Check lists of applicants who submitted through the institution portal
- Export applicants data
My Role
Insights
User Persona
Stlye Guide
User Story
As a user I would like to
- sign up and start using the App/Product immediately
- Create an account if I don’t already have one to help personalize the experience
- Sign in if I already have an account
- Recover Login details if I lost them
- Learn about the product and what it can do
Home Screen/Dashboard
As a user I would like to:
- View my profile
- See the list of all customers (approved and disapproved)
- See the list of customers who applied for credit cards
- See the total number of loans/credit card given out
- See the list of customers for credit cards
- See the list of disapproved customers and why
- See a chart of customers who might default, compared to those who might not
- Chat with a customer
- Send updates and decisions to customers.
- See FAQ section to learn how to use the product.
- Report a bug
Prediction Screen
- See / provide the necessary customer details for the predictions
- Obtain a prediction result from the algorithm after providing the required details