The Challenge

PistonHeads had spent 25 years establishing itself as the UK’s most trusted automotive community, but its traditional classifieds model was facing a strategic threat from high-velocity, niche auction platforms. The business needed to pivot into a commerce-heavy model without alienating a loyal (and often critical) user base that lived in the forums.

The technical and UX hurdles were significant: we had to integrate a high-stakes, real-time bidding engine into a legacy ecosystem. Any friction in the bidding process—from page latency to confusing anti-sniping logic—wouldn't just lead to a lost sale; it would cause a deficit in community trust that could damage the brand’s 25-year reputation.

The Solution

I led the "Zero-to-One" design effort to build a trust-centric auction platform. By focusing on "Micro-Trust" moments, we designed a transparent bidding experience that included real-time price updates, automated bid notifications, and a streamlined buyer and seller onboarding flow.

Beyond the initial August 2023 launch, I used data to identify and solve friction - most notably by architecting auction mechanisms that allowed buyers and sellers to learn and adapt to the market in real-time. To maintain this velocity, I employed an AI-assisted research stack (NotebookLM and UserTesting AI) to rapidly synthesise user sentiment. This execution delivered massive results: facilitating 700+ successful sales, generating £10M+ in GMV, and reaching profitability.

Design Process

Discovery

Instead of a standard audit, I led a targeted discovery phase to identify how PistonHeads could win.

• Quantitative Deep Dive: I analysed existing user behaviour within the PistonHeads classifieds and forums. The data revealed an appetite for high-end, rare vehicles that were currently "getting lost" in standard listings.
• Competitive Intelligence: I mapped the friction points of global leaders (Bring a Trailer, Collecting Cars). We found that users felt "left in the dark" during the bidding process, identifying Real-Time Transparency as our primary UX differentiator.
• User Psychology: Conducted interviews to map the "Anxiety vs. Excitement" curve of high-value online auctions, which informed our notification and confirmation strategy.

Design

Moving from discovery to launch required a balance of rapid ideation and meticulous system design.

• Stakeholder Alignment: I facilitated cross-functional workshops involving Product, Engineering, and Marketing to align on the "Auction Lifecycle" - mapping every touchpoint from seller submission to the final hammer drop.
• Scalable Design Foundations: I architected a dedicated design system for Auctions. This wasn't just about UI; it was about creating a set of reusable, functional patterns that could handle real-time price updates, countdown timers, and complex user-state changes (e.g., "Outbid" vs. "Winning").
• High-Stakes Interaction Design: I focused on "Micro-Trust" moments—ensuring that bid confirmations, payment processing, and anti-sniping logic felt robust, clear, and legally compliant.

Testing & Iterating

To validate our design solutions, I conducted usability testing with 6-10 male users (aged 25-65) in the UK. Positive feedback led to a pilot launch, allowing for further iteration based on real-world data.

Analysis revealed opportunities to enhance the landing page experience by:

• Improving aesthetics: Updating the design to reflect a premium and modern feel.
• Educating users: Introducing a dedicated page explaining the auction process.
• Enhancing search and filtering: Implementing dynamic text search (make/model), saved item filters, and quick filters for auction types (live, buy it now, sold, etc.).
• Highlighting key information: Prominently displaying vehicle location on listing cards.

This iterative approach ensured the final product was optimised for usability, trust, and ultimately, increased bids and sales.

Final Solution

Results

Through iterative testing and refinement, we delivered a user-friendly and engaging auction experience that exceeded both user expectations and business KPIs. Key results from the final user test include:

• High satisfaction with core features: Users praised the filters, search functionality, sorting options, and overall design.
• Positive feedback on aesthetics and content: Users highlighted the page's visual appeal, transparency, immersive experience, high-quality imagery, and informative FAQ section.
• Validation of key design decisions: The "How it works" page and "Coming Soon" filter proved particularly valuable to users.
• Significant improvement in user sentiment: The Net Promoter Score (NPS) jumped from 0 to 83, demonstrating a substantial increase in user satisfaction.

This data confirms the success of our user-centered design approach in creating an effective, exciting, and enjoyable auction platform.