Data-driven optimisation across four markets.

CRO inside a regulated banking environment

Santander Consumer Finance operates consumer lending across multiple European markets. In the Nordics — Denmark, Sweden, Finland, and Norway — they offer consumer loans, credit cards, deposit products, and car financing through dedicated digital funnels, each localised to its market.

The CRO programme at Flat 101 was an ongoing retainer engagement: continuous hypothesis generation, experiment design, test execution, and results analysis. My role was lead UX/CRO designer — responsible for the design side of the experimentation process, working alongside analysts, developers, and Santander's in-market digital teams.

Precision in a constrained environment

Banking is one of the most regulated digital environments you can work in. Every change to a funnel page goes through legal review. Certain UI patterns — urgency messaging, social proof, framing — require explicit sign-off. The scope for experimentation is narrower than in e-commerce, and the cost of a false result is higher.

Multi-market also means multi-constraint. What's legally permissible in Denmark may be restricted in Norway. What resonates with Swedish users may not land the same way in Finland. Localisation isn't just language — it's regulatory, cultural, and contextual.

Hypothesis-first, data-rigorous

Every experiment began with a structured hypothesis: a specific behaviour we observed or predicted, a proposed intervention, a measurable outcome, and a defined significance threshold. This discipline keeps experimentation honest — and in a regulated environment, it also provides the paper trail required for stakeholder sign-off.

The design work covered the full funnel: landing pages, product comparison pages, application forms, confirmation flows, and re-engagement touchpoints. Application forms — the highest-stakes, highest-drop-off stage — were a consistent focus. The behavioral economics principles most relevant here: reducing perceived effort, managing anxiety around sensitive financial information, using progress indicators and milestone framing to maintain commitment.

I was also responsible for communicating results clearly to Santander's teams across four markets — translating statistical results into actionable design direction and translating stakeholder feedback into testable hypotheses.

The work was structured around a three-pillar approach: deep analytics and session data to surface friction, heuristic and behavioral economics evaluation to understand why that friction exists, and disciplined hypothesis development to prioritise interventions by potential impact. The team operated on a structured sprint cadence with a dedicated Kanban board tracking each experiment from backlog through to live. Beyond designing variants, I maintained QA oversight on test implementations — validating that live variants matched approved specifications before results were collected. In a regulated environment where a misconfigured test produces misleading data, implementation fidelity is as much a design responsibility as the variant itself.

What multi-market CRO teaches you about design

Working across four markets simultaneously sharpens your understanding of what's universal and what's contextual in design. Some friction points appear consistently regardless of market: long form fields without inline validation, ambiguous progress indicators, unclear error messages. Others are deeply market-specific.

CRO work also teaches you to hold your aesthetic preferences loosely. The question isn't whether a design looks good — it's whether it performs. Sometimes those are aligned. Often they're not, and the data is the authority, not intuition.

Specific performance data for this engagement is subject to NDA and has not been published by the client.