Back to Work Automotive

Delivering 6x Conversion Through Curated Design Recommendations

Redesigned Porsche's vehicle configurator to solve the paradox of choice, transforming a 64% abandonment rate into a 116% increase in configuration completion.

Role Interaction Design Intern
Timeline March 2025 - October 2025
Team 2 Designers, 4 Engineers
Due to my NDA, I cannot disclose detailed designs from this project. The information below focuses on process, outcomes, and learnings while protecting confidential work. Full case study available upon request with Porsche approval.

The Challenge

Porsche's online configurator offers over 700 options per vehicle model. While enthusiasts appreciate this depth, 64% of users abandoned their configurations before completion. The paradox of choice was costing conversions.

I was tasked with designing a system that preserved Porsche's commitment to personalization while reducing decision fatigue for mainstream buyers.

"How might we guide customers toward confident decisions without compromising the depth that defines the Porsche ownership experience?"

The Paradox of Choice

Psychologist Barry Schwartz's research shows that more options often lead to worse decisions and lower satisfaction. Porsche's configurator embodied this paradox: 700+ options per vehicle created decision paralysis for mainstream buyers, while the interface was optimized for enthusiasts who already knew exactly what they wanted.

The result? Nearly two-thirds of users abandoned their configurations before completion, representing significant lost revenue and missed opportunities to convert interested buyers into owners.

The Scale of the Problem

Configuration Abandonment 64%
Avg. Completion Time 45 min
Requested Dealer Assistance 23%
700+
options per vehicle model, presented without guidance or prioritization

Where Users Drop Off

Session analysis revealed three critical friction points in the configuration journey:

38%
Wheel Selection
12+ options, no guidance
29%
Interior Trim
Material overwhelm
19%
Performance Packages
Technical jargon

Understanding User Friction

My approach centered on understanding where users struggled and why. I employed a mixed-methods research strategy combining competitive benchmarking, qualitative interviews, and behavioral analytics to build a comprehensive picture of user friction.

Competitive Analysis

Benchmarked BMW, Mercedes, and Tesla configurators to identify industry patterns, gaps, and opportunities for differentiation.

4 Competitors Analyzed

User Interviews

Semi-structured interviews across three segments: first-time buyers, returning customers, and Porsche enthusiasts.

12 Participants

Session Analysis

Analyzed Hotjar session recordings to identify drop-off points, rage clicks, and confusion patterns in real user behavior.

200+ Sessions Reviewed

Key Insights

Research synthesis revealed three core friction points that mapped directly to the drop-off data:

1

Option Overload

"I spent 20 minutes just on wheels. There were so many options and I had no idea which ones actually looked good on this color." — First-time buyer participant

2

Confidence Gap

"PASM? PDCC? I don't know what any of these acronyms mean. I just want a car that handles well." — Returning customer participant

3

Missing Context

"I picked options I liked individually, but when I saw the final car it looked like a mess. Nothing went together." — Enthusiast participant

Design Recommendations: Curated Confidence

Rather than reducing options, I designed a progressive disclosure system that surfaces expert-curated recommendations while keeping the full catalog accessible for enthusiasts. The key insight: simplicity doesn't mean fewer choices, it means better defaults.

Porsche Configurator Design Recommendations feature showing curated packages
The "Design Recommendations" feature on configurator.porsche.com — showing expert-curated packages before individual options

Three Design Principles

The solution was grounded in three core principles that directly addressed the research findings:

Progressive Disclosure

Show curated recommendations first, individual options on demand. This reduces cognitive load while preserving choice. Users who want full control can always access every option, but they're not overwhelmed from the start.

Addresses: Option Overload

Expert Authority

Frame recommendations as "Porsche Designer Picks" rather than algorithmic suggestions. In luxury contexts, users want human curation, not algorithms. The credibility of Porsche's design team becomes a trust signal.

Addresses: Confidence Gap

Visual Coherence

Real-time preview shows how options look together before committing. This builds confidence and reduces decision paralysis by letting users see the complete picture, not just individual parts.

Addresses: Missing Context

User Flow: Progressive Disclosure in Action

1

See Curated Packages

3 designer-curated options shown first

2

Preview in Context

See how package looks on your vehicle

3

Accept or Customize

Apply package or drill into details

4

Complete with Confidence

Finish configuration in less time

Business Impact

The redesigned configurator was A/B tested against the existing flow with a rigorous methodology designed to isolate the impact of design recommendations.

A/B Testing Methodology

2,400
Users in test sample
4
Weeks duration
50/50
Control vs. treatment split

Measured Impact

Configuration Abandonment ↓ 66% reduction
Before 64%
After 22%
Time to Complete Configuration ↓ 31% faster
Before 45 min
After 31 min
Expert Package Adoption ↑ 6x increase
8%
Before
48%
After

Executive Buy-in Achieved

Based on A/B test results, the solution received approval for global rollout and integration into the dealer consultation flow across all Porsche markets.

What I Learned

  • Constraints Enable Focus

    Working within Porsche's existing design system forced creative solutions that integrated seamlessly rather than requiring new patterns.

  • Luxury Requires Trust

    In premium contexts, users want expert guidance, not algorithmic suggestions. Framing recommendations as human-curated was critical to adoption.

  • Simplicity Preserves Choice

    The goal wasn't fewer options, but better defaults. Enthusiasts still accessed every option; mainstream buyers found confidence faster.