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← All cases Case · Finance · 2025

Fintech dashboard

Real-time insight for thousands of users at once, without the dashboard stuttering even once.

2025delivered
Customdesign & build
One teamfrom strategy to launch
The project in brief

Fintech dashboard

Real-time insight for thousands of users at once, without the dashboard stuttering even once.

FINANCESTRATEGY · DESIGN · DEVSTATUS · LIVE
The challenge
The approach
The result
The challenge

The existing dashboard became slow at peak moments, precisely when users needed it most. Data came from multiple sources, screens loaded in pieces, and trust in the numbers eroded.

The approach

We laid the foundation anew: an architecture that handles real-time, and an interface that presents complex data calmly.

  • New architecture with a real-time data layer on Supabase
  • Virtualisation of heavy tables and charts
  • Redesign of the data visualisation within a tight design system
  • An AI assistant that answers questions about the numbers instantly
  • Performance budget per view, guarded in CI

The result

The result needs no chest-beating: a product that works faster, clearer and more consistently than its predecessor, and proves it every day. We share exact figures in a conversation: measured, not polished.

Behind the scenes

No polished success story. This is what we ran into along the way:

  • The first architecture did not handle peak load in load tests. The real-time layer was redesigned before launch.
  • The dark theme caused contrast problems in charts; the data visualisation palette was recalibrated.
  • The AI assistant ran internally for four weeks first to train out wrong answers.

We are happy to share raw project data and client names in a conversation (under NDA).

One goal came first: users staying longer and going deeper into the dashboard, without needing instructions. Everything was built for that.

The brief in one sentence
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The difference

Slide from before to after.

Before
Slow · cluttered · dated
After
Fast · clear · polished
The result in numbers

What it delivered.

ResultLoad timefigures on request
ResultSession durationfigures on request

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