04.2 / calculator
◆ shipped · production
Open-Architecture Calculator
A self-service fund-reallocation calculator that pulled IMO product clients out of 28-minute phone calls and gave them the tools to model scenarios themselves, integrated with live NYSE market data.
- Role
- Senior UX Designer · Group 1001 · 6 months
- Stack
- Stakeholder researchInformation architectureData visualizationProgressive disclosureNYSE market data integrationActuarial collaboration
◆ problem
Every fund reallocation required a 28-minute phone call. $2.3M annual support cost, 34% abandonment, no way for clients to model scenarios independently.
◆ solution
Self-service calculator with progressive complexity, embedded learning, and live NYSE market awareness. Integrated with rate systems and contract databases.
◆ impact
78% of clients now complete calculations independently. 28-min calls → 4.2-min self-service. +$12M AUM. +15% retention. +23% agent availability for advisory.
§01 · problem
Every fund reallocation required a 28-minute phone call.

IMO product clients had to call support every time they wanted to explore fund reallocation. The bottleneck was expensive on every axis: $2.3M annual support cost, limited client access, no ability to model scenarios independently.
- 73% of fund reallocation inquiries required multiple phone calls.
- 28-min average call duration for complex calculations.
- 34% abandonment rate from process complexity.
- $2.3M annual support cost just for calculation requests.
Underneath the cost: a financial-literacy gap. Clients couldn't evaluate reallocation decisions without guided context, and the phone channel didn't scale the kind of explanation they needed.
§02 · users
IMO product clients making financial decisions.
IMO (independently managed offering) product clients weighing fund reallocation against market conditions and contract constraints. Sophisticated enough to want the tools, often not sophisticated enough to use them without guardrails.
§03 · process
24-week build with actuaries, engineers, legal, and product.

Cross-functional collaboration across product, two engineers, a data analyst, the actuarial team, and legal.
- research (4 weeks) · stakeholder interviews with support agents, PMs, actuaries, clients. Call-center data analysis.
- information architecture (6 weeks) · flows accommodating NYSE market constraints; collaboration with actuaries on calculation accuracy.
- visual design (6 weeks) · professional interfaces that instill confidence in financial decisions; data viz for complex projections.
- user testing (4 weeks) · interactive prototypes with real client data; moderated sessions with existing IMO clients.
- implementation (4 weeks) · actuarial calculations + real-time NYSE feeds + rate systems + contracts + auth integration.
§04 · solution
Progressive complexity. Embedded learning. Live market awareness.

- progressive complexity · starts simple, reveals complexity gradually so users meet the interface at their comfort level.
- integrated learning · contextual tooltips, inline definitions, and just-in-time tutorials embedded directly in the calculation workflow.
- market-aware UX · interface communicates market timing constraints in real time and gracefully handles after-hours scenarios with next-day scheduling.
- self-service rate locking · with market-aware expiration timelines.
- ecosystem integration · fluid navigation between calculations, contracts, and the rest of the IMO platform.
§05 · outcomes
Self-service rate up to 78%, AUM up by $12M.
- 78% of clients completed calculations independently.
- 4.2 min average completion time (vs 28-minute phone calls).
- 92% user satisfaction with self-service.
- −67% reduction in basic terminology questions to agents.
- +$12M additional assets under management from increased reallocation activity.
- +15% client retention improvement.
- +23% agent availability for complex advisory services.