Case Study · AutoScout24 · Search & Discovery

New Make & Model

Turning richer vehicle data into a buyer decision.

AutoScout24 could describe cars by make, model group, generation, variant, and motor. Buyers still entered through two familiar dropdowns: make, then model. The data could distinguish a BMW 330d Touring or a Golf GTI with more precision than the interface could show.

Role
UX Lead for the make/model experience
Scope
Buyer-facing web interaction, Germany car marketplace
Status
Germany launched; wider rollout under way
Evidence
Four design models and repeated production testing
Responsive product mockup showing grouped vehicle choices and a visible selection in the New Make & Model experience.

I led the buyer-facing make/model experience, from hierarchy and search paths to multi-select and the move from dropdowns into a larger modal.

The Constraint

A deeper taxonomy outgrew two dropdowns

The data could describe precise vehicle intent, but the existing interaction could not help buyers express it without learning the system underneath.

The legacy flow worked while model names carried most of the useful meaning. The new structure let buyers stop at a make or continue into a specific generation and engine.

Buyers did not follow one path through those levels. Some knew the exact term. Others recognised a generation or body shape from an image. Long names and several valid combinations competed for limited space on mobile web.

I organised and facilitated a kickoff workshop with key stakeholders. We aligned on three risks: imprecise results, hard-to-compare vehicles, and extra steps. I carried that framing into Concept24, an early vision prototype that used images and step-by-step refinement. It made the direction tangible before we tested how it could work inside the existing filter.

Early vision prototype

Early Concept24 mobile prototype showing image-led browsing of Volkswagen models.

Design Evolution

Four interaction models changed the direction

Each model exposed a different cost and changed the next design.

Model 01

Six dropdowns exposed the data model

The first model gave each taxonomy dimension its own dropdown. Buyers faced unfamiliar labels and six steps before they could review a choice. We had put our data structure on screen.

Mobile interface with six separate dropdowns for make, model group, generation, variant, motor, and trim.

Model 02

Search inside a familiar shell hid too much

We returned to a familiar make/model form and added search across the hierarchy. Long combinations were hard to compare, selections had no stable home, and mobile scrolling separated the query from results.

Compact searchable model field filled with long vehicle combinations that are difficult to compare.

Model 03

More room for a deeper taxonomy

I moved the experience out of the dropdown and into a modal on desktop and a full-screen view on mobile web. Buyers had more space to browse, compare options, and see where they were in the hierarchy. We had found the right container, but asking buyers to move through every level still took too many steps.

Deep drill-down

Make and model modal at a deep level of the vehicle hierarchy with breadcrumb navigation and selectable motors.

Full-screen mobile web

Full-screen mobile model view with search, breadcrumbs, vehicle images, refinement controls, and a visible selection.

Model 04

Grouped choices reduced the depth

I kept the modal and grouped generations, variants, and motors on one screen. Titles and subtitles made long combinations easier to scan. A selection drawer gave buyers one place to review, remove, or revisit choices. We took this model into final testing.

Make and model modal grouping generations, variants, and motors on one screen.

Supporting decisions

Buyers could type or browse

A buyer could type Golf GTI or start with Volkswagen and browse. Both routes opened the same refinement view, where broad and precise choices remained valid. I designed that handoff. Search Relevance specialists owned matching and ranking.

Images helped buyers tell similar vehicles apart

Text labels alone made generations and body styles hard to tell apart. Image and data specialists used dealer-photo references and generative AI to create consistent thumbnails. I designed how they appeared in the hierarchy and selection flow.

How the final interaction works

Browse

Mobile make screen with a search field, popular makes, and an alphabetical make list.

Refine

Mobile model screen grouping Volkswagen variants, generations, and motors in one refinement view.

Review

Mobile selection drawer showing a chosen vehicle with controls to edit, remove, or add another vehicle.

The Foundation

New Search provided the foundation

The web search reset introduced a reusable modal. I used that responsive surface for the deeper make/model decision.

Preceding case study

New Search

How we reset search and filters across apps and web before tackling the deeper vehicle hierarchy.

AutoScout24 desktop search page with the New Make & Model modal open over the homepage.

Evidence

Six rounds of testing shaped the final interaction

We ran six rounds of A/B testing. Smaller changes within those rounds helped us separate problems with the interface from problems with vehicle language and response time.

We used research sessions to check whether buyers understood the interaction and production behaviour to see whether it held up in a live search journey. We used both when choosing the next change.

Question 01

Finding the right container

Question
Could a familiar dropdown contain the richer hierarchy?
What changed
Six fields exposed the data model. Search in a compact shell made long results and selection state difficult to manage.
Design decision
Use the New Search modal as a dedicated make/model surface.

Question 02

Reducing interaction depth

Question
How much of the hierarchy should buyers have to traverse?
What changed
Deep drilling revealed the structure but required too many steps and made partial selections harder to review.
Design decision
Group related choices on one screen while allowing broad selections to remain valid.

Question 03

Building trust in a live journey

Question
What made the interaction feel dependable in production?
What changed
The team adjusted entry cues, navigation, selection review, re-entry, and response time inside the larger tests.
Design decision
Stabilise the grouped interaction and introduce it through a staged rollout.

Response time also changed how buyers read the interface. Slow updates made clear labels and navigation feel unreliable, so design and engineering reviewed the journey again after improving the system response.

Launch

Rolling out from Germany

Cars in Germany launched first through a staged release. After confirming the interaction was stable, the team began rolling the richer taxonomy and image experience out across AutoScout24's remaining web markets.

My Role

I led the buyer-facing experience

I led the design from the first dropdown concepts through the grouped modal. My work covered how buyers searched or browsed, managed several choices, and returned to edit them. Product, engineering, data, and rollout partners owned the wider programme, experiments, implementation, and market delivery.

On complex systems, I now start with the decision a person needs to make and show only the structure that helps. Here, that meant supporting exact search and visual browsing without forcing buyers through the full taxonomy.