To address underwriter needs, we defined some of the goals for our solution. We sought to design an intuitive, predictive interface that:
Underwriters want granularity in scoring and benchmarking across different datasets.
Underwriters consume imagery - a lot! And they want a good balance of high-quality imagery and wide imagery coverage.
Underwriters are looking for a place where they can see all their property data in one screen.
Underwriters know and use COPE (Construction, Occupancy, Protection, and Exposure), an industry standard used to evaluate and assess property risk. The most successful underwriters prioritize a range of key indicators that they like to evaluate first.
Underwriters often want to drill deep into individual data points.
To address underwriter needs, we defined some of the goals for our solution. We sought to design an intuitive, predictive interface that:
Delivers summarized and prioritized data such that a user can spend as little time as possible evaluating the overall risk.
Supports intuitive navigation of the possible thousands of data points on any property, with the ability to get to any data point within three clicks.
Grants the ability to easily interact with interrelated data, such as the intersection of structural vulnerability and regional hazards, in a cohesive structure.
Makes geospatial augmentations rich, clear, and intuitively tailored to what facet of risk a user is exploring.