Home/Case Studies/Apex Analytics
FinTech · Dashboard2022 · 16 weeks

Apex Analytics

Data visualisation dashboard for financial portfolio management

Data VisualisationDashboard DesignUX ResearchDark UI
RoleProduct Designer
Team2 Designers, 4 Engineers, 1 Data Scientist, 1 PM
Duration16 weeks
ToolsFigma · FigJam · Framer · Notion · Hotjar · Maze
−89%
Reporting time
64%
Faster alerts
34
Chart patterns
Acquired
11 months post-launch

Overview

Apex Analytics is a portfolio management dashboard for independent financial advisors managing $10M–$500M AUM. The existing tool was a spreadsheet-based workflow that advisors had outgrown. I designed a real-time analytics dashboard that surfaced insights proactively rather than requiring manual data crunching.

The Problem

Financial advisors were spending 3–4 hours daily in Excel building reports that could be automated. The cognitive load of managing 40–200 client portfolios simultaneously led to missed rebalancing opportunities and compliance risks.

The Goal

Replace manual reporting with an intelligent dashboard that gives advisors a complete portfolio overview in under 60 seconds and surfaces actionable alerts before they become compliance issues.

Design Screens

Key interfaces

Prototype mockups
Home / Overview
Detail View
Analytics Screen

Design Process

How I approached it

01

Domain Immersion

Spent 3 weeks shadowing 6 financial advisors during their daily workflows. Mapped the data relationships between portfolios, alerts, client communications, and regulatory reporting. Learned enough about portfolio theory to design with domain accuracy.

Workflow shadowing (6 advisors)
Domain knowledge workshops
Data relationship mapping
Regulatory requirement review
02

Information Hierarchy

Designed the information hierarchy around the advisor's mental model: portfolio health first, outliers second, actions third. Ran 3 rounds of card sorting to validate how advisors naturally grouped and prioritised data.

Card sorting (3 rounds, 18 advisors)
Data prioritisation workshops
Alert taxonomy design
Navigation model testing
03

Visualisation Design

Designed 34 chart and data visualisation patterns including portfolio allocation wheels, performance timelines, risk heat maps, and compliance calendars. Worked directly with the data scientist to ensure all visualisations were statistically accurate.

34 visualisation patterns
Dark mode UI design
Colour-blind accessible palettes
Data scientist collaboration
04

Beta & Iteration

Ran a 6-week beta with 12 advisors managing live portfolios. Tracked time-on-task, alert response times, and daily active usage. Iterated on the notification system, portfolio comparison view, and mobile alert triage.

6-week live beta (12 advisors)
Time-on-task measurement
Alert response rate tracking
Mobile triage flow design

Research Findings

Key insights

1

Advisors needed to compare 2 portfolios side-by-side constantly — a feature no competitor offered at the time.

2

Alert fatigue was a real risk — advisors started ignoring notifications when too many were low-priority. Smart severity scoring was critical.

3

Dark mode wasn't a preference, it was a requirement — advisors spent 8+ hours on screens daily and found light UIs fatiguing.

4

The first 30 seconds of login had to show 'everything is fine' or 'here's what needs your attention today' — not a dashboard of equal-weight widgets.

Outcome

The result

Advisors reduced daily reporting time from 3.5 hours to 25 minutes. Alert response time improved by 64%. The platform was acquired by a mid-market wealth management software company 11 months after launch.

−89%
Reporting time
64%
Faster alerts
34
Chart patterns
Acquired
11 months post-launch