Institutional Retirement Investment Center (iRIC) Redesign

2024

The Challenge

Bank of America’s institutional retirement reporting platform (iRIC) faced a decade of design debt, leading to advisor frustration, a high risk of churn, and approximately $5 billion in annual asset management fees at stake. I had to lead a complete UX overhaul with a "zero new-backend" constraint; every improvement had to be achieved through IA and interaction design alone.

Revised IA and interaction design are relatively straight forward, though. The REAL challenge was establishing trust with a stakeholder unfamiliar with design projects and working with designers. There was a clear opportunity to over-deliver on the client’s original ask and cement the value of design as an integral component of successful products – even internal tools.

The navigation had become so convoluted, the long-tenured product owner got confused while giving a demo in the project kickoff.

Systematic thinking had been overlooked amidst a regular cadence of feature enhancements. Key functionality for daily power users was pushed below the fold by a lengthy explanation of how to use that functionality.

Data availability had been improved over the years, but the interface didn’t reflect those improvements. Users were regularly running full reports in order to view the data they needed to make decisions for those very reports.


My Role

I staffed, mentored, and directed a team of two junior designers, focusing on their professional growth through complex IA challenges, user research, and usability testing sessions, while simultaneously managing four additional designers across other workstreams. I introduced User-Centered Design practices to the product, and served as the primary bridge between executive leadership and engineering.

Strategy

We prioritized Information Architecture and workflow optimization. By mapping research insights to existing API capabilities, we aligned navigational structure to users’ mental models and surfaced critical decision-making data without requiring backend changes. While not required, we leveraged the consumer-facing design system for efficiency and to improve the likelihood of executive buy-in. A round of user testing validated our decisions and allowed for our users to feel involved in – and therefore invested in the success of – the redesign of the platform.

Insights

User Research provided immediate value and offered numerous key insights that we were able to map to strategic design choices to mitigate product risk.

User Insight Product Risk Strategic Design Action
Navigation Breakdowns
Users completed complex workflows in the wrong sections, requiring total rework.
Operational Inefficiency
High support overhead and wasted advisor time.
Taxonomy Realignment
Renamed and regrouped primary navigation to match mental models rather than legacy database schemas.
Discoverability Gap
~50% of users were unaware of recently released, high-value features.
Low ROI on Engineering
Thousands of hours spent on features that provided zero realized value.
Contextual Surfacing
Moved key feature triggers into the reworked primary navigation instead of burying them in sub-menus.
Density > Aesthetics
Power users demanded high data density and minimal scrolling over "white space."
Product Rejection
A "pretty" but sparse UI would only frustrate users in a different way rather than meeting their unique needs.
Information Density Optimization
Leveraged Gestalt principles to maintain clarity and manageable cognitive load while reducing negative space.
Trust Deficit
Destructive actions (deletions/submissions) lacked confirmation or feedback loops.
Data Integrity Risk
Increased risk of irreversible errors in retirement plan management.
Interaction Guardrails
Introduced systematic confirmation patterns and status messaging using existing frontend logic.

The Goods

Impact

Retention

Successfully mitigated advisor defection risk with 0 churn attributed to tooling post-launch.

Trust

The product owner – and her executive chain of command – were so pleased with the engagement and results that they asked us to present to BofA’s C-suite review committee.

Efficiency

Improved platform efficiency significantly by restructuring the primary workflow to align with advisor mental models rather than legacy internal labeling, as measured by successful task completion in usability testing and qualitative feedback.

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