BTP Underwriting
Rapid prototyping used to validate complex underwriting workflows under aggressive delivery timelines.
Context
Underwriting is the process of evaluating and assuming financial risk based on structured criteria, data inputs, and regulatory constraints. Within enterprise insurance and financial platforms, underwriting workflows are often data-dense, highly procedural, and sensitive to small interaction errors.
A new Business Technology Platform (BTP) product was initiated to create a dedicated underwriting workspace and modernize an existing experience already in use. Due to aggressive timelines and delivery risk, a small senior design team was assembled to accelerate execution and reduce uncertainty early.
The workflows relied on conditional logic, state-dependent inputs, and risk-based decision paths, making early validation critical before engineering implementation.
Role & Contribution
Design support for this initiative focused on rapid, high-fidelity prototyping to help the team reason through complex underwriting scenarios before committing to build.
The work emphasized speed, clarity, and feasibility, supporting fast alignment across product, design, and engineering.
- Rapid exploration and validation of underwriting workflows
- Early feasibility assessment in collaboration with engineering
- Concrete interactive artifacts to support product decision-making
- Targeted feedback from a small group of domain users
Prototyping as a Product Tool
Given the compressed timeline, prototyping served as a primary tool for reducing ambiguity and accelerating decisions rather than producing static design specifications.
Interactive prototypes were built using Figma’s variables feature to simulate real product behavior and expose edge cases early in the process.
- Boolean variables to model state changes and conditional logic
- String variables to simulate editable, data-driven inputs
- Dynamic panels and selection states reflecting real underwriting scenarios

Outcome
The prototypes enabled faster alignment across product, design, and engineering, surfacing technical considerations and usability issues earlier than traditional handoff approaches.
This approach reduced delivery risk and supported more confident decision-making as the product progressed toward implementation.