COI Self-Service Redesign

COI Self-Service Redesign

Eliminating underwriting bottlenecks through intelligent, progressive data capture.

Eliminating underwriting bottlenecks through intelligent, progressive data capture.

Client

biBerk Insurance

Services

UX Design, UI Design

Industry

Insurance

Year

2024

Redesigned COI request form in a browser mockup: progress stepper, prefilled policy fields, and a highlighted required subcontractor details section
The redesigned COI request form (browser mockup)

The Problem

Analysis of closed Salesforce service cases revealed that over 60% of total support volume involved Certificates of Insurance (COI) requests. The core bottleneck was a lack of upfront data collection. Customers regularly submitted requests without providing necessary details regarding subcontractor work types or specific vehicle information. This initiated a multi-day, frustrating communication loop between policyholders, customer service representatives, and underwriters, driving up case backlogs and causing severe customer dissatisfaction.

Analysis of closed Salesforce service cases revealed that over 60% of total support volume involved Certificates of Insurance (COI) requests. The core bottleneck was a lack of upfront data collection. Customers regularly submitted requests without providing necessary details regarding subcontractor work types or specific vehicle information. This initiated a multi-day, frustrating communication loop between policyholders, customer service representatives, and underwriters, driving up case backlogs and causing severe customer dissatisfaction.

Diagram of the old multi-day request loop between policyholder, service rep, and underwriter, next to a stat card showing 60% of support volume was COI requests
The old multi-day request loop, or the 60% of support volume stat

The Solution

I redesigned the B2C self-service flow to mandate complete data capture at the source. Implementing progressive disclosure and conditional logic, the UI dynamically prompts users for specialized information—such as additional insured IDs or precise vehicle details—only when triggered by previous selections. I collaborated closely with product managers and underwriting to define the exact data matrix required for automated processing. All progressive form elements were built to strict accessibility standards, ensuring WCAG-compliant color contrast and full screen-reader compatibility for users navigating via keyboard.

I redesigned the B2C self-service flow to mandate complete data capture at the source. Implementing progressive disclosure and conditional logic, the UI dynamically prompts users for specialized information—such as additional insured IDs or precise vehicle details—only when triggered by previous selections. I collaborated closely with product managers and underwriting to define the exact data matrix required for automated processing. All progressive form elements were built to strict accessibility standards, ensuring WCAG-compliant color contrast and full screen-reader compatibility for users navigating via keyboard.

Progressive disclosure form revealing subcontractor fields after a Yes selection, beside a conditional-logic flow diagram branching on work type
Progressive disclosure in action, plus the conditional-logic flow

The Impact

By enforcing accurate data collection upfront, the redesigned flow eliminated the primary underwriting bottleneck. Policy change turnaround times dropped drastically from multiple days to under 24 hours. Furthermore, the updated UI significantly decreased the volume of manual COI cases routed to service workers, allowing the business to handle rapid revenue scaling without a proportional increase in human support overhead.

By enforcing accurate data collection upfront, the redesigned flow eliminated the primary underwriting bottleneck. Policy change turnaround times dropped drastically from multiple days to under 24 hours. Furthermore, the updated UI significantly decreased the volume of manual COI cases routed to service workers, allowing the business to handle rapid revenue scaling without a proportional increase in human support overhead.

Timeline comparing policy change turnaround: before, a manual loop taking 3 to 5 days; after self-service capture, under 24 hours
Turnaround: multiple days to under 24 hours

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