PRD - Improving Debt optimizer engagement
PRD - Improving Debt optimizer engagement

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PRD for Debt optimizer’s referral feature

Problem

Target Audience

Users who are looking to improve their financial situation by reducing their debt. These users have a goal to either reduce their total debt by either paying off quickly OR reducing their monthly borrowing costs.

Problem overview

The users who are registered with solve are using the newly launched debt optimizer to find their personalized recommendations but not coming back to the platform causing a decline in overall user engagement.

Goals & Success

The goal of this feature is to improve the overall user engagement. To that end, the metric we want to improve are New User Signups and Monthly Active Users. Success of this feature would be an uptick in both of these metric month over month post launch of the referral system.

Risks

Technical risk involve breaking the debt optimizer functionality and introducing a critical bug

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Solution

Key features

Below are the 3 main feature recommendations to improve the user engagement issue

For users that are guests and have not registered yet, the debt optimizer should be structured to allow users to reach the end of the survey and then be provided an opportunity to share their email address and subscribe to a personalized content on the basis of their respective goal. The content that is available on the website under blog can be utilized to send these users drip campaign emails with CTAs that invite them to come back to the website to take one or the other action

Another recommendation for non-registered users is to not display the recommendation on the website at the end of the survey and have it sent to them in an email. The users have already come this far to find the financial recommendations and would very likely be happy to have the recommendations sent to their email. This will allow us to segment these users on the basis of their goals and run email campaigns to reach out to them and drive them back to the website just like recommendation 1

Lastly, below is what I recommend for registered users, a referral system. Using this referral system we will be able to A, acquire new users and B, notify our registered users via emails whenever their referrals have signed up with us, providing them with some incentive and thus increasing the probability of them to visit the site again thus increasing user engagement on both new and returning user front.

Referral system mockup

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Key flows

Happy user flow path

User will click on the Debt Optimizer CTA on the website

User will land on the first modal where, they will select 1 of the 3 options whether they want to shop, refinance or make loan payments as the options

Once a user selects one of these options, they will asked for some information such as their credit score range, zip code, address etc. that will help us run data in the backend to find the best recommendations for them

After providing their information, user will be asked to provide their goal i.e. lower their monthly payment or pay off quickly as possible

Final screen will be of the recommendations that the user can take to achieve their goal. As this is the point where the user satisfaction will be the most, it makes sense to ask users to refer to their family and friends. Below the recommendations, we can give users two options to refer: either send emails to friends or copy their personalized referral lin...The incentive to refer will need to be discussed.

💡 Pro tip: The user flow can be visualized below

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