VISUAL DESIGN EVOLUTION

Before/After — Three transformations under regulatory pressure

An evidence framework, not a chronological retrospective. Each transformation pairs a real product redesign with the constraints that drove it: regulatory disclosure, information density, or progressive complexity. The numbers are sourced; the trade-offs are named.

3 Production transformations · ACY · Finlogix · TradingCup
5 Visual principles · defensible under HR questioning
150+ Reusable components · cross-product design system
WCAG AA Accessibility floor · 0 critical contrast violations

Institutional Visual Design

Five principles that separate retail FinTech from institutional-grade design

Trust, precision, and data density. Each principle below has a counterargument I've had to talk past in a real meeting — these aren't aspirations, they're positions.

EUR/USD · 14:32:18.247 UTC 1.0942 ▲ +0.0003 venue: LMAX · vol: 4.2M · ts: ICAP SHARP EDGES · TIMESTAMPED · SOURCED

Principle 01

Precision over personality

Institutional users don't want delightful animations — they want pixel-perfect data accuracy. Every number timestamped, every chart sourced, every indicator verifiable. Sharp edges read as precision; rounded corners read as consumer.

VERIFIABLE FIRST
↑ HIGH-IMPACT EVENT · NFP RELEASE 1,000+ POINTS · 4-TIER HIERARCHY

Principle 02

Data density without clutter

Retail UX: "remove until simple." Institutional UX: "show everything, organised." Finlogix went from 200 points → 1,000+ per screen with 40% faster analysis time (n=15 traders, paired pre/post UI) — because hierarchy did the work density alone couldn't.

200 → 1,000+
RECOGNITION TIME 0ms 500ms PROFIT ▲ ~180ms LOSS ▼ ~180ms color + arrow + sign · triple-encoded

Principle 03

Speed as a visual language

Every visual decision impacts perceived latency. Darker backgrounds reduce eye strain over 8-hour sessions. Monospace numerals improve scan-ability for tabular data. Triple-encoded direction (colour + arrow + sign) hits sub-200ms recognition — and stays readable for colour-blind users.

SUB-200MS · TRIPLE-ENCODED
PRIMARY ACTION Open Account ▲ ASIC RG 268 · 12PX MINIMUM CFDs are leveraged products. You may lose more than your initial deposit. Consider risk profile carefully. DESIGN AROUND, NOT AGAINST

Principle 04

Regulatory compliance as design constraint

Legal requirements shape visual hierarchy. ASIC RG 268 mandates 12px minimum for risk warnings? I design around the constraint, not against it — high-contrast borders, strategic whitespace, pre-checked Legal approval. Zero design-related findings over 2+ years.

0 ASIC FINDINGS · 2 YR
ONE SYSTEM · 5 PRODUCTS ACY FLX TC LXT CON 8PX GRID · 6-COLOUR PALETTE · 4-TIER TYPE

Principle 05

System scalability over one-off creativity

Every component must scale across 5+ products. Not bespoke layouts — reusable patterns. The ACY system's 150+ components share the same 8px grid, 6-colour semantic palette, and 4-tier typography scale. Result: faster implementation, 100% cross-product visual consistency.

150+ COMPONENTS · 5 PRODUCTS

Transformation 01 · ACY Securities

Cluttered to compliant — a homepage that lifted Awwwards nomination

Homepage redesign for 100K+ global traders. Drag the divider to compare.

Before
After
ACY Platform — after redesign
ACY Platform — before redesign
Awwwards
Team Nomination 2025 — Verify →
+40%
Avg. session duration post-redesign (GA4 platform-wide; multiple contributing factors)
150+
Reusable design system components shipped
WCAG AA
Accessibility compliance across all platforms
Before · what didn't work

Generic, low-trust homepage

  • Low contrast — light grey text on white (WCAG AA fail)
  • Generic stock imagery — no brand differentiation
  • Inconsistent spacing — 7 different margin values across sections
  • Hidden CTAs — "Open Account" sat below the fold
  • No trust signals — regulatory licences buried in footer
After · design solutions

Trust-first, system-grounded

  • High contrast — dark theme with white text (WCAG AAA)
  • Custom 3D graphics — distinct visual identity (Awwwards-nominated)
  • 8px grid system — consistent spacing across all components
  • Above-fold CTA — primary action visible in first 600px viewport
  • Trust badges — ASIC / FCA licences in the hero, not the footer

Trade-off · Brand vs. conversion. Marketing wanted more "personality" (illustrations, playful copy). I pushed back: financial trust requires restraint. We A/B tested "playful hero" vs. "institutional hero" — institutional won with measurably higher CTA engagement (internal A/B test, exact figures under NDA). In finance, less personality = more trust.

Transformation 02 · Finlogix

Chaos to clarity — IA redesign for 1,000+ daily data points

Information architecture redesign for active day traders.

Before
After
Finlogix — after redesign
Finlogix — before redesign
40%
Faster market analysis (paired user testing, n=15)
Data density (200 → 1,000+ points per screen)
−67%
Reduction in "data not found" support tickets
Before · information overload

Flat data, no hierarchy

  • Flat data tables — all 200 points in one scrollable list
  • No visual hierarchy — economic indicators mixed with news mixed with charts
  • Buried insights — high-impact data (NFP, CPI) hidden in the noise
  • Zero filtering — users manually scanning 200+ rows daily
After · intelligent layering

4-tier hierarchy with semantic colour

  • 4-tier hierarchy — high impact → medium → low → historical
  • Semantic colour coding — red high volatility · amber moderate · grey low
  • Smart defaults — top 20 high-impact events shown, rest collapsible
  • Instant filtering — asset class, region, impact level toggles

User research finding — Michael Tan (intermediate day trader): "I used to spend 20 minutes every morning scanning for high-impact events. Now I see them instantly. Your colour-coding saved me 40% of my pre-market research time." The 40% figure is his self-reported estimate against personal hourly-rate calculation, not a portfolio metric.

Transformation 03 · TradingCup

Generic to distinctive — risk visualisation for retail copy-trading

Progressive disclosure for complex risk data.

Before
After
TradingCup — after redesign
TradingCup — before redesign
187K
Organic search clicks · 12 months · Google Search Console
92%
Risk disclosure completion rate (from 60%)
42%
GA4 engagement rate · 30-day rolling avg
Before · everything at once

Wall of risk metrics, no context

  • Wall of metrics — Sharpe Ratio, Max Drawdown, Win Rate, Profit Factor all at once
  • Jargon overload — retail investors don't know what "Sortino Ratio" means
  • No context — "2.4 Sharpe Ratio" — is that good or bad?
  • Legal fear — 60% abandoned at risk disclosure (too much legalese)
After · layered complexity

Progressive disclosure with peer benchmarks

  • 3-tier disclosure — Essential (ROI) → Intermediate (Win Rate, Drawdown) → Expert (Sharpe, Sortino)
  • Plain-language tooltips — "Sharpe Ratio = risk-adjusted returns. Higher is better."
  • Contextual benchmarks — "2.4 Sharpe = top 10% of strategies"
  • Simplified disclaimers — "You can lose money" before the 500-word legal text

The make-or-break moment · Legal collaboration. Initial design had 2 sentences for risk disclosure. Legal rejected it: "ASIC requires explicit warnings about strategy past performance." My compromise: kept the surface-level warning short (15 words), added an expandable "Full Risk Disclosure" link with Legal's required text. Result: 60% → 92% completion rate, zero Legal rejections post-launch.

System-Level Refinement

Typography and colour decisions that scale across 5 products

The transformations above are downstream of two upstream decisions: a 4-tier modular type scale and a 6-colour semantic palette. Both are documented; neither is bespoke.

H1 · 48px H2 · 32px H3 · 24px Body · 16px / 1rem · Inter MODULAR SCALE · 1.33 RATIO

System 01

Typography scale · 4-tier modular

Before: 7 different font sizes across products, mix of Arial / Helvetica / system fonts, arbitrary sizes (13 / 17 / 21 px). After: 4-tier modular scale at 1.33 ratio, Inter for UI / JetBrains Mono for numerals. Typography stops being a per-product decision.

INTER + MONO 1.33 SCALE
PROFIT #16825d LOSS #e85d5d PRIMARY #4a76c4 ACCENT #c9a959 WARN NEUTRAL WCAG AAA · 7.2:1 ON DARK BG

System 02

Semantic colour palette · 6-colour

Before: blue for everything (links, buttons, charts) — no semantic meaning, WCAG AA fail at 3.2:1. After: 6-colour semantic system — profit / loss / primary / warning / accent / neutral. WCAG AAA at 7.2:1 contrast on dark bg. Colour stops being decoration; it carries meaning.

SEMANTIC WCAG AAA · 7.2:1

References

  1. Typography legibility and numerical scanability in data-dense interfaces is a well-established finding in HCI literature. Key references include: Larson, K. (2004). The Science of Word Recognition. Advanced Reading Technology, Microsoft Corporation. Sheedy, J.E., et al. (2005). Text Legibility and the Letter Superiority Effect. Human Factors, 47(4), 797–815. The specific magnitude (~15–25% advantage for monospace in numeric tables) varies by task type and character spacing; exact figures are task-dependent. Note: An earlier version of this page cited "MIT HCI study, 2019" — that attribution has been removed pending identification of the original source. The underlying design rationale (monospace for numerical data) remains well-supported by typographic research.