Variable 01
Problem type sets the route
Net-new features need ethnographic depth. Compliance updates need legal collaboration first. Performance issues need quant validation. Same designer, three different processes.
Five years across UHNW real estate and regulated trading platforms taught me one thing: process depth follows risk. The depth of research, prototyping, and validation adjusts to what's at stake — not to a fixed playbook.
Risk · Process Depth · Validation Rigor — calibrated together, not separately
The Adaptive Variables
Three dimensions decide how deep the process goes: what kind of problem, how much risk, how much time. Mismatched depth is the most common process failure.
Variable 01
Net-new features need ethnographic depth. Compliance updates need legal collaboration first. Performance issues need quant validation. Same designer, three different processes.
Variable 02
High-risk features get Legal in the wireframe room with parallel audit cycles. Medium-risk runs Maze. Low-risk visual changes ship and measure post-launch.
Variable 03
Days mean reusing design system patterns. Weeks mean targeted custom design with one validation loop. Months mean full research → IA → prototype → validation.
Systematic Decision Logic
Each route triggers different stakeholders, validation rigor, and handoff fidelity. Same designer, calibrated process.
Design Principles
Not mission statements — positions I've actually argued for in real meetings. Each one comes with a counterargument I had to talk past.
Principle 01
Density signals competence to traders. The same whitespace signals discretion to UHNW clients. Applying one rule to both is a category error.
Principle 02
Inviting Legal to wireframe review feels like friction — it's about 3 hours. Building 4 weeks of high-fi before compliance review creates the conditions for 4 weeks of waste.
Principle 03
Expert evaluators read a wrong technical term as incompetence faster than they read a font choice. "Beautiful but vague" fails this audience. "Specific and accurate" survives.
Principle 04
The compliance floor is the design ceiling. Starting permissive and retrofitting strict creates architectural debt that's nearly impossible to pay down without a full redesign.
Principle 05
A mis-submitted trade isn't recovered by undo — it's recovered by documentation, dispute, sometimes regulatory reporting. Confirmation friction is always worth it.
Principle 06
An interruption's cost isn't the 5-second pause — it's the 3-minute context reconstruction. Persistent panels beat tabs. Inline alerts beat modals.
Stakeholder Management
Across Christie's and ACY (Sydney · Taipei · Jordan · Colombia), I learned a methodology must accommodate power dynamics — Legal veto, CFO scrutiny, UHNW expectations — not pretend they don't exist.
Legal Counsel
"Recommended Providers" was pixel-perfect when Legal killed it for ASIC inducement. Joint wireframe kickoffs since. Interactive prototypes, not static mockups.
CEO & CFO
C-suite stakeholders need design serving a strategic purpose they've already defined — investor materials, capital-markets reporting, fiduciary-weight data viz.
UHNW Clients
$50M buyers expect personal broker treatment. Properties presented like Architectural Digest features. Digital tools enhance broker relationships — they don't replace them.
Cross-Cultural Teams
Sydney HQ + Taipei dev + Jordan/Colombia satellites = 4 timezones. Bilingual specs (English UI + Chinese rationale) eliminated the lost-in-translation tax.
Compounding Knowledge
Not a list of isolated work. Each one changed the questions I asked next: ACY (production, regulated) → TradeX (conceptual, deeper domain) → Xanthos (different user class, same regulation class).
Arc 01
Watching experienced traders close my "simplified" UI and revert to MT4 clarified TradeX's thesis: institutional users don't need UX to manage cognitive load — they've trained for it.
Arc 02
Three users · same data · different views. The principle is the same: when two roles share a product, their relationship should be visible in the UI, not hidden behind role-switching.
Arc 03
Three private auction previews. Fewer than 10 conversations. They are unsentimental about information, do not want to be educated by the interface, and evaluate institutions like art.
Research Framework
Constrained by NDA, regulatory sensitivity, and users who evaluate your research competence alongside your design. This four-phase framework is tested across 5+ studies in 4 years.
Phase 01
Before writing the interview guide: what's locked (regulation, architecture)? What's actually open? Researching locked space wastes expert practitioners' time.
Phase 02
PMs, quants, compliance officers are experts. Generic "show me" produces surface findings. Open with the specific problem space; ask about failure modes, not task completion.
Phase 03
"Sarah uses the risk module" isn't actionable. "Needs cross-asset correlation during a news event" is. Demand categories stay stable across compliance-driven redesigns; personas drift.
Phase 04
Directional findings are useful for ruling out failure modes — not for validating interaction patterns. Reporting wrong confidence is a methodological error that erodes credibility.
What Doesn't Work
Process maturity isn't always being right — it's recognizing failure signals early and pivoting before sunk costs become catastrophic.
Failure 01
PM was furious: "We could have A/B tested this in 4 days with 100K+ users." Treating every problem like it needs deep research is "user-centered" theater.
Failure 02
Designed "Recommended Providers" on PM requirements alone. Legal killed it for ASIC inducement. Now Legal sees clickable prototypes before pixel-perfect handoff.
Failure 03
Taipei team read Figma specs literally but missed the design rationale Sydney heard verbally. Bilingual specs (EN labels + ZH rationale) + Loom walkthroughs lifted match 60% → 95%.
Active Learning
Naming knowledge gaps precisely is itself a design skill. Three areas I'm actively closing as I move from retail toward institutional finance.
Learning 01
The gold standard for institutional terminals. Understanding function-key IA, multi-monitor workspaces, and FXFM/PORT/ALLQ workflows informs my institutional design vocabulary.
Learning 02
Supplementing direct observation (3 Christie's previews) with Capgemini WWR and UBS Investor Watch — quantitative patterns behind what I observed qualitatively.
Learning 03
Private banking operates at 3–4 entity levels (client → family office → trusts → portfolios). Studying entity-switching IA, role-based access, cross-entity KYC/AML triggers.
Why I share gaps openly: I joined retail brokerage with no FinTech background and was leading compliance-architecture decisions across 40+ jurisdictions within 18 months. Not because I learn fast — because I translate domain structure from first principles. The gaps above are specific and bridgeable.
Tools & Handoff
The toolkit isn't about drawing — it's about making intent legible across distributed teams with competing priorities and regulatory constraints.
In institutional finance, "jank" isn't a minor annoyance — it's a data integrity hazard. I define rendering strategy alongside engineering, not after.
Static reports, slow analytics. Accessible DOM, easy styling. Limit: degrades at >1,000 nodes / 60fps.
High-frequency grids in LogixTrader / TradeX. Fixed memory footprint, constant-time render. Trade-off: custom screen-reader implementation.
I provide the JSON schema for Canvas-based "High-Performance Data Tables" that hold 60fps during volatile news events. Engine constraints, not just mockups.