Predictive FinTech

A model-driven interface prototype that explores how financial products could adapt in real time based on behavior, signals, and predictions.

SaaS

A model-driven interface prototype that explores how financial products could adapt in real time based on behavior, signals, and predictions.

SaaS

Project Overview

This project simulates a future where financial interfaces surface insights before users search for them: spending patterns, upcoming bills, likely transfers, and forecasted balances — all woven into the UI as adaptive state changes.

To simulate model logic without connecting to a real system, I sketched a simple structure that mimicked how a predictive loop might behave. The inputs were basic patterns in user behavior and spending. From there, the system generated signals—things like “you usually transfer $200 on Fridays.” Those signals fed into lightweight model outputs such as forecasted balances, anomaly alerts, or reminders. The interface then responded with subtle state changes: cards shifting, highlights appearing, or new modules surfacing when needed.

Role

Figma

Industry

Technology, Productivity,

Design Solution

Focused on a predictive balance forecast, which presents a seven-day projection directly within the main balance card.

Design features also included the set of behavior-based suggestions that appear only when they’re truly relevant. The design also includes a 14-day spending graph—a simple, animated line chart that projects short-term peaks and dips. On top of these components, the interface itself shifts in real time. Cards rearrange, highlight new information, or surface modules when the model detects something useful. The small changes in layout simulate how a predictive system might respond moment-to-moment, making the product feel more alive and context-aware.

Live Prototype