Funding Interview

Product Design Project
Project Overview
The Funding Interview is a critical step in the auto loan funding process at Prestige. Historically, Funders would call customers and complete the interview manually using a Word document, which caused inefficiency, inconsistent experiences, and frustration for both customers and employees. I designed a new self-service Funding Interview experience for customers, along with an improved internal workflow for Funders.
My Role
Product Designer (Research & Design)
Tools Used
Figma, Jira, Confluence, Teams
Timeline
6 month iterative project

Problem

The manual funding interview process had major pain points:

Goals

  • Reduce manual work and eliminate error-prone Word document workflow.
  • Empower customers to complete the interview themselves when possible.
  • Increase clarity, reduce repeated questions, and improve the customer experience.
  • Automate validations and roadblocks so Funders can resolve issues quickly.
  • Build the foundation for a future mobile app experience.

Research

Methods
Competitive Analysis
I conducted a competitive analysis by researching four direct competitors and four larger companies, reviewing their mobile apps, websites, and customer feedback. I compiled insights on key features, strengths, weaknesses, and opportunities for each company. From these findings, I synthesized the data into a competitive analysis chart, which highlighted trends, gaps, and opportunities to influence the design of the Funding Interview experience.
User Interviews and survey with Funders
To understand how Funders completed the Funding Interview, I conducted user interviews and a survey to gather both qualitative and quantitative insights. This research revealed key pain points and workflow inefficiencies, which helped guide the redesign and shape a more efficient process.
Affinity Mapping
I conducted a Affinity mapping session with stakeholders to identify key pain points, opportunities, touchpoints, and emotional moments across the customer journey. This helped uncover clear opportunities for improvement.
User Personas
Based on interview insights, survey responses, and competitive research, I created two personas representing the funder and the customer. These personas helped focus in on user needs and ensured the redesigned funding interview process supported both internal workflow efficiency and a smoother customer experience.
User Flow
After understanding the limitations of the old manual workflow, I designed a future state user flow that redefined how both Funders and Customers move through the funding process, creating a more efficient and intuitive experience for both sides.
Key Insights
INSIGHT
WHY IT MATTERED
Customers often become confused at the end of the interview, especially around Auto Pay, Rate Reduction Rewards, and payment details.
We needed clearer guidance, transparency, and next-step communication.
Funders are asked questions outside their role (e.g., splitting payments, due date changes).
The flow needed clearer boundaries and messaging to avoid frustration.
Extra optional questions (landlord, additional info) rarely impacted decisions.
The interview needed to be shorter and focused only on essential loan criteria.
If a dealership is coaching a customer, it can invalidate the interview.
Self-serve design needed safeguards and user-verification patterns.
Customers sometimes do not have vehicle possession or know about mechanical issues.
We needed to introduce qualifying questions early to prevent roadblocks.
Reaching customers often takes days.
Allowing customers to complete self-serve online could drastically speed up time to funding.

Solution

Two Key Experience Tracks
1. Internal Funder Interview (Internal Application)
2. Self-Serve Customer Interview (Web App)

Key UX Improvements

Outcome & Impact

Metric
Before
After
Manual Interview Duration
Up to several hours across multiple calls
Customer self-serve completion avg. 2.46 hours
Employee workload
High manual call burden
2140+ hours saved so far
Completion method
100% employee-led calls
50% now customer-completed
Accuracy & Roadblocks
Time consuming and more potential for errors
Automated validation + reduced roadblocks
User Experience
Inconsistent and frustrating
Clearer, guided, and self-paced
Adoption
Employee Feedback

Funders were extremely excited to no longer use the Word document, and the built-in automation sped up processing and reduced errors.

Reflection

This project had a high operational impact. It involved rethinking a manual, outdated process and transforming it into a far more intuitive and efficient workflow. By focusing on transparency, clear flows, and automation, we were able to meaningfully reduce friction in one of the most time-consuming parts of the loan funding process.