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Finance / ComplianceWeb Application (Desktop Optimized)

Governance, Risk & Compliance Dashboard

Duration

9 months

Role

Principal Product Designer

Team

3 Designers, 8 Engineers, 2 PMs

Tools
FigmaUserTestingHighchartsMiro

Project Overview

An executive dashboard designed to simplify complex risk management, audit tracking, and compliance reporting for Fortune 500 enterprises.

Business Background

Compliance teams were managing risks across global markets using fragmented spreadsheets and legacy software, leading to high error rates and severe regulatory penalties.

The Problem

Risk officers lacked a unified, real-time view of their compliance posture. Critical alerts were buried in raw data, and audit reporting took weeks to compile manually.

Objectives

  • Provide a real-time global risk posture view
  • Automate audit trail generation
  • Reduce time spent on data reconciliation

Success Metrics

  • Decrease audit preparation time by 50%
  • Increase daily active usage by risk officers
  • Zero regulatory reporting delays

The Challenge

Designing for extremely high data density while maintaining clarity. The dashboard needed to serve both C-level executives (needing high-level summaries) and compliance analysts (needing deep-dive data tables).

1.Data overload leading to decision paralysis
2.Multiple user roles with entirely different mental models
3.Strict security and data privacy constraints during research
4.Complex data visualization requirements

Discovery & Research

Kickoff & Audit

Conducted a 3-day workshop with Chief Risk Officers (CROs) and compliance analysts to map the end-to-end audit lifecycle.

Audited the client’s existing 45-page Excel risk matrix.

Key Pain Points

  • Finding the source of a compliance failure required navigating through 8 different screens.
  • Data visualizations were misleading or lacked contextual tooltips.
  • No clear hierarchy between critical regulatory risks and minor internal policy breaches.

Opportunities

  • Implement a unified "Risk Score" metric.
  • Use progressive disclosure to handle data density.
  • Create role-based dashboard views.

Research Methodology

Contextual inquiry (observing analysts at work), in-depth interviews with 8 risk officers, and concept testing.

Key Insights:

CROs only care about anomalies and trends; analysts care about the raw underlying data.
Heatmaps are the industry standard mental model for risk, but they are often inaccessible to colorblind users.
Exporting to PDF/Excel is a mandatory feature, not a nice-to-have.

Personas & Journey

David, Chief Risk Officer

Executive

Goals

  • Monitor global risk posture
  • Report to the board

Behaviors

Logs in daily for 10 minutes. Relies on visual indicators.

Elena, Compliance Analyst

Investigator

Goals

  • Resolve compliance flags
  • Prepare audit evidence

Behaviors

Spends 4-6 hours daily in the app. Heavy keyboard user.

User Journey Shift

Before

Alert received via email -> Log into legacy system -> Export CSV -> Analyze in Excel -> Draft report in Word.

After

In-app smart alert -> Click to investigate context -> Add notes in-system -> Auto-generate compliance report.

Design Execution

UI Exploration

Typography: Roboto for dense data tables, ensuring high readability of numerical data (tabular lining).

Colors: Muted dark mode aesthetic to reduce eye strain for analysts, using vibrant, accessible colors (Red/Orange/Green) only for status indicators.

Design System Components

Data Grids with inline editingComplex FiltersDonut ChartsRisk HeatmapsTimeline Logs

Final Design Execution

A high-fidelity look at the final polished interfaces, components, and key interactions that were successfully handed off to engineering.

Final Design Mockups

Final Outcome & Impact

The dashboard transformed a chaotic, spreadsheet-driven process into a sleek, centralized command center for enterprise risk.

↓ 50%
reduction in audit preparation time
↑ 35%
productivity increase for analysts
0
missed audits in the first quarter post-launch

Key Learnings

  • Balancing the need for detailed data with executive summary views.
  • Navigating strict enterprise data security constraints during user research.

Future Improvements

  • Incorporate predictive AI to forecast risk trends based on historical data.
  • Develop a companion mobile app for on-the-go executives.