Case 05
SPICE is a complex financial data platform used by ETF issuers, asset owners, consultants, and financial advisors. It delivers data on more than 400,000 indices across expanded asset classes with powerful tools, advanced filtering capabilities, and access to extensive historical and constituent-level data. Users rely on it to research, compare, and analyze indices to inform investment decisions.
The initial mandate was a targeted UI uplift. What was discovered was a much deeper systemic design challenge that required reframing the entire approach to modernization.
On paper, this was straightforward.
SPICE had grown significantly in capability but the experience hadn't evolved cohesively.
A visual refresh alone would not address these systemic issues.
Modernizing a complex data platform requires more than updated visuals. Because users interact with large volumes of data—clarity, predictability and consistency directly impact efficiency and trust.
Clarified priorities, constraints, and rollout strategy to ensure decisions supported broader product evolution. This alignment became foundational to all downstream work.
Leveraged and extended the SIB design library to unify shared components and patterns across SPICE and related products, reducing cognitive load.
Used interactive prototypes to explore improvements beyond the immediate scope and test design direction early with stakeholders and users.
As an ETF product manager, I want to build and monitor custom indices with real-time updates on corporate actions, so I can ensure my products stay aligned with index methodologies and market changes.
As a consultant advising pension funds, I want to discover and customize niche benchmarks using your platform, so I can recommend passive strategies that meet specific investment goals.
As a financial advisor, I want to research indices and download historical performance data, so I can build diversified portfolios and explain investment strategies clearly to my clients.
Before finalizing key decisions, we conducted resonance testing sessions with selected subject-matter experts using clickable prototypes. The objective was directional validation—not traditional usability testing. These experts interact with large-scale financial data daily and have strong mental models of workflows. They could quickly identify inefficiencies or inconsistencies that had become normalized.
Experts confirmed that visibility and usability improvements directly addressed their workflow pain points and significantly reduced cognitive load.
Expert feedback provided evidence-backed validation that gave stakeholders confidence in the direction and justified investment in the modernization effort.
We discovered frustrations that had become so normalized that users had stopped mentioning them. These became high-priority improvements in the roadmap.
Expert feedback validated several high-impact UX improvements that extended beyond the current scope, shaping our strategic roadmap for phase two.
Throughout the redesign, we identified several high-impact UX improvements. However, some required deeper architectural or cross-team changes that extended beyond our current phase.
Rather than overextend the current phase, we:
The "parking lot" became a strategic asset—not a compromise. It protected delivery while enabling future evolution.
This project revealed a repeatable, six-step approach for modernizing complex platforms responsibly while protecting delivery and enabling future evolution.
Understand the stated goals, but dig deeper to identify what's really driving the request. Look for systemic issues hiding beneath surface-level asks.
A component redesign in one product often affects others. Map dependencies, overlaps, and integration points before committing to a direction.
If your analysis reveals deeper issues, reframe the problem. Propose a broader scope if it addresses root causes while protecting the delivery timeline.
Focus on improvements that have the greatest effect on user efficiency, trust, and consistency. These become the foundation for everything that follows.
Use interactive prototypes and expert feedback to validate your direction before finalizing design systems or scaling implementation across the product.
Document improvements that go beyond current scope. Structure them into a strategic roadmap that becomes the foundation for sustainable, continuous evolution.
SPICE 3.0 was not simply a UI uplift. It was a strategic bridge between accumulated complexity and a more unified, scalable product experience. The most meaningful outcome wasn't just the interface shipped—it was positioning the platform to evolve with confidence.
Understanding how the platform had evolved, where complexity had accumulated, and why users developed workarounds shaped every decision.
Domain experts brought credibility and discovered insights that internal research had missed. Their confidence directly enabled stakeholder buy-in.
Consistency, clarity, and predictability aren't cosmetic—they're essential infrastructure for complex data platforms where users manage high cognitive load.