Lending and Risk Analytics Web App Redesign

The lending and risk analytics platform helped financial institutions analyse bank statements, assess borrower health, and monitor portfolio risk. Its first version proved the technical idea, but the product experience was difficult to navigate and hard to onboard.

I led the redesign in close collaboration with product managers, engineers, data analysts, QA, sales, and users from lending institutions. The goal was to make sophisticated financial analysis feel structured, credible, and actionable.

The MVP exposed many useful features without a clear hierarchy. Navigation was difficult, analysis parameters were rigid, and onboarding depended on slow manual support. These issues reduced trust and limited adoption.

The redesign needed to support a wider range of lending institutions while making core journeys faster, clearer, and easier to learn.

Create a scalable analytics experience that gives lenders the right information at the right level of detail, without hiding the evidence behind a risk decision.

Discovery sessions aligned business goals with what the engineering team had already built. I then combined user interviews, surveys, and a UX audit to understand where the existing experience broke down.

Loan officers and decision-makers described spending too much time locating information, working around rigid parameters, and waiting for account setup. They wanted speed, but not at the expense of accuracy or control.

A competitive review showed that many products were powerful but difficult to customise. That created an opportunity to combine real-time analysis with a clearer interface and more flexible decision tools.

I reorganised the product around the decisions users needed to make, then explored flows through sketches and low-fidelity concepts. The architecture separated onboarding, statement management, analysis, reporting, and administration into clearer areas.

To meet a tight delivery timeline, we used Ant Design as a technical foundation and adapted its typography, spacing, colour, forms, tables, and interaction patterns. This balanced implementation speed with a more coherent product identity.

Participants from lending institutions completed navigation, onboarding, statement analysis, and role-management tasks. The sessions helped us see whether users could work independently and understand the hierarchy of financial insights.

Early testing showed that sign-up was too long, offline reporting was missing, and fraudulent-statement indicators needed to be clearer. We shortened onboarding, introduced exportable analysis summaries, and strengthened risk indicators.

The developed product was tested again using the same critical workflows to confirm that the implemented experience matched the intent of the prototypes.

The redesigned experience automated company registration and introduced clearer account and role management. A central statement library made uploads, processing status, and reports easier to find.

The analysis view grouped qualitative and quantitative insights into a structured hierarchy. Overview cards surfaced the most important signals, while tabs allowed users to inspect the evidence and deeper metrics behind a decision.

Automated onboarding reduced setup friction, clearer navigation improved product adoption, and the redesigned upload and analysis flow helped institutions reach borrower insights more quickly. Role-based access also improved security and operational control.

The project reinforced that financial interfaces should reduce cognitive load without concealing complexity. The best outcome was not fewer data points, but a hierarchy that helped users understand what mattered first and where to investigate next.