Auto Finance  ·  B2B2C

Hyundai
Finance.

Enabling car dealers to do soft credit checks, so they could see indicative affordability early in the conversation, without slowing the showroom down or jumping through tools that weren’t built for that moment.

I led the design and delivery of a dealer-led soft search MVP, from discovery through to pilot launch, to help dealers save time and improve customer conversion on car finance.

Category
B2B2C SaaS
Sector
Auto Finance
Timeline
2024 – 2025 · Pilot Jul ’25
Team
Product, engineering & design, HCUK squad
Role
SaaS design User research Responsive prototype Initial design system MVP delivery

Impact

  • Designed and shipped the soft search MVP
  • Delivered live, responsive designs across web, tablet, and mobile
  • Branded for three OEMs: Genesis, Hyundai, and Kia
  • Finance compliance sign off to meet regulatory requirements
  • Set direction for future phases beyond MVP
  • Established a lightweight initial design system to enable speed
Context

Hyundai Capital UK (HCUK), Santander Consumer UK (SCUK), and the eApply ecosystem.

Dealers were spending significant time preparing quotes for customers who were later rejected. At the same time, the system landscape was fragmented: multiple tools and duplicated workflows.

This created:

  • Missed sales opportunities due to hesitant customers
  • Time lost on applications that wouldn’t convert
  • Manual re-entry of data across systems

The challenge was not just designing a feature, but creating a flow that reduced friction while fitting into a complex, multi-system ecosystem.

eApply Kia Finance vehicle configuration flow: Sportage trim steps with exterior colour selection.

Quotes and applications scattered across disjoint tools instead of one coherent flow.

The goal

Put a compliant soft search in dealers’ hands at the right point in the sale, fast enough for the forecourt, clear enough that customers know what’s happening.

How I worked

Discovery through MVP launch.

The programme moved in stages, each step grounded in what dealers told us, then validated in prototype form before we locked scope for a consistent MVP launch.

Discovery & research

Workshops and conversations with dealers and stakeholders to learn when a soft search should surface, what “good” looks like on screen, and where people dropped off today.

Responsive prototype

End-to-end flows tested on realistic devices, dealers aren’t always at a desk, and clarity on a smaller screen mattered as much as desktop.

MVP launch

A pilot-ready MVP tied to a live rollout plan, narrowing scope to what dealers needed first, then iterating after real usage.

North star

Business objectives.

Stakeholder framing from discovery: what the soft-search work needed to move, before we locked MVP scope.

Increase customer conversion

From quote → to proposal

Improve acceptance rates

For used cars in particular

Provide dealers with clarity

Without deterring proposals

From discovery

Pain points dealers kept repeating.

Themes from calls and workshops: the friction on the forecourt behind the business case.

  1. Showroom hesitation

    Customers hesitant to apply for finance, resulting in missed sales opportunities.

  2. Negotiation dead-ends

    Time wasted “haggling” with customers whose applications were later rejected.

  3. Broken hand-offs

    Painful double-keying of customer information into multiple systems.

Mapping out the flow

Designing for dealer reality.

I mapped the end-to-end journey, focusing on:

  • Minimising manual input (especially for returning customers)
  • Supporting both new and existing user paths
  • Anticipating edge cases (e.g. incomplete data, uncertain results)

Rather than optimise for a “perfect” flow, I prioritised speed, clarity, and real-world usability in dealership environments.

Scroll to step through the flow

User flow diagram: dealer soft search happy path from eApply dashboard through customer profile, application steps, address history decisions, review, and results.

Happy path from dashboard to results. Use the frame above to scroll sideways and vertically for the full flow. Includes address history when occupation is under three years.

User testing & iterations

When dealers took the wheel.

I tested early concepts with dealers, uncovering key issues.

Those insights pushed the design past binary pass/fail screens toward guided, contextual decision-making, still honest about outcomes, but kinder and clearer to use on the forecourt.

Scroll sideways

Soft search results: circular gauge showing low likelihood of receiving finance.

Results too harsh

Strong colours for high scores landed well, but low scores felt brutal. Dealers worried about embarrassing customers in front of them.

Pre-qualification results modal with explanatory copy and indicative-results disclaimer.

Copy missed

Dealers weren’t clocking that outcomes were indicative; the caveat had to be visible in the scan pattern, not footer-smallprint.

System feedback: please check the details submitted, with return and review actions.

System feedback unclear

When retrieval failed, the message sounded like user error. Dealers weren’t sure whether to retry, fix data, or escalate, and trust dipped.

User testing feedback
“We don’t want to embarrass the customer, particularly if we’re presenting this in the showroom. Showing someone a low score could make them walk out and be embarrassed.”
Dealer Kia dealership
Iterating towards better outcomes

From harsh to gentle results

I refined the experience to introduce more neutral, reassuring result states, clarify messaging to highlight indicative outcomes, and give dealers control over what to share with customers.

That improved confidence in using the tool, dealer–customer conversations, and alignment with real-world workflows.

Scroll sideways

Refined soft search gauges using a muted peach and orange palette for low likelihood states.

Subtle palette to ease concerns

Based on feedback we wanted to keep low scores but make them less alarming. I opted for a muted palette which balanced the low messaging.

Iteration of insufficient trace messaging: clearer copy and stronger friction before continuing.

Adding friction to take notice

I added friction to the insufficient trace message to ensure it was read by users and added clarifying copy and more relevant CTAs.

Pre-qualification results with indicative disclaimer highlighted for visibility.

Key information made prominent

Included the results messaging in a separate card with an information icon to make it stand out.

What was delivered

A dealer-led soft search MVP, flows and patterns tuned for real showroom use.

Prototype of self-serve journey

Iterating from insights

Going live across three brands

The MVP has just launched for Genesis, Hyundai, and Kia with responsive web, tablet, and mobile layouts, balancing branding and functionality.

Key highlights:

  • Streamlined dealer workflows, reducing manual effort
  • Refined results screens and error states based on pilot feedback
  • Finance Compliance sign-off ensured all flows, copy, and data handling met regulatory requirements
  • Ready for future expansion: proposals, customer self-serve, and 3rd-party integration
Scope note

This case study focuses on the soft search MVP: one slice of broader HCUK work, including KPI and strategy workshops.

Reach out to learn more.

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