Refresh 'Canvas'
Refresh 'Canvas'
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Company and Sector: Guidewire, Inc (Property and Casualty Insurance Tech)
Objective: Reskin application called 'Canvas' used for geospatial viewing of Claim, Policy, and Catastrophe Data
Role: Senior Designer
Project duration: 2 months
Overview
Claim Canvas application, part of the Data and Analytics suite of products, needed a refresh without changing any major functionality. The look and feel of the app needed alignment with the rest of the suite.
Before and after shots of the application
Before and after shots of the application
Iterative group of steps involved
Iterative group of steps involved
Validation of medical data went through several iterations.
Nature of injuries determined the amount of iterations and the personas involved.
Minor injuries would result in smaller $$ payouts, but major injuries would involve corroboration with the police, witnesses to the accident, and medical reports from the doctors.
Learning
Learning
Non-linear and iterative nature
Non-linear and iterative nature
Several steps, or groups of steps would have one or many iterations and move across carriers in a non-linear way resulting in long times and changes in exposures.
Sprawling complex journey map
Sprawling complex journey map
The journey map itself looked difficult to consume since it reflected the complexity and diversity of personas involved in the process.
Success
Success
Despite the complexity, this exercise proved very valuable, revealing numerous opportunities to leverage business intelligence, predictive analytics, and AI to enhance efficiency.
Creation of a new app - Supervisor Alerts
Creation of a new app - Supervisor Alerts
A new Data and Analytics app called Supervisor Alerts was created.
This AI-driven tool flagged claims that may require substantial cash reserves.
It alerted supervisors when any changes happened to the exposure amount reserved for claims.
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