SafetyIQ
Complicated data visualisations with fleet data for carriers to provide profitable policies
What is SIQ ?
Platform for insurers who lack insightful data about the fleets they have insured. It is important because it helps in decision making for insurers:
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Low risk vs high risk fleet before acquisition,
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Upsell for Azuga as they pitch TSP to fleets so they are eligible for discounts when being insured.
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Underwriting
Right data at the right time is like gold, but like how gold needs to be processed and designed for it to be used by the users. In the same way, combination of right data to make meaningful insights is when user’s problems gets solved.
How does it work?
Safety IQ is part of Bridgestone Company which owns TSP’s (Telematic Service Provider) and collects data from those TSP’s about all fleet movements and events. In Safety IQ, this war data is converted to insights for fleet carriers to make sure they are charging right premiums for the Fleet companies they are insuring.
On the platform user can see various overviews, insights, comparisons of data to understand the gaps and opportunities of the fleets.
What problems are solved?
My customers are auto insurance companies who would want insightful data to be able to underwrite policies and control loss ratios and validate fake claims using their insured extg. TSPs.
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Underwriter’s problems:
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Inefficient underwriting fleet policies
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Unable to understand fleet performance
Data visualisation explorations
Fleet scorecard
This page is where user will find all details related to the selected fleet. All years data and performance of fleet is available for them to compare and understand the future behaviours to write policies.
Feature 1
Benchmarking
Comparing one specific fleet against different data set to understand the performance which can be benchmarked to accordingly modify the insurance policy.
Events, Breaking, Acceleration, & Speeding are the key statistics which tells the user how vehicle is performing
Feature 2
Feet Details
Vital fleet details like size, categories and type of industry for which it is used like an overview of the fleet profile for a quick understanding before user takes a deep dive.
A generic scoring of most important vitals of fleet
Feature 3
Poor performing vehicles
There will be some vehicles which will be performing worse than overage bringing the overall score of the whole fleet down. Insurers will be interested in understanding which are those vehicles and it’s details
Design explorations
Final design was done on the decision that poor performing vehicles should be separated out with other comparisons as it has nothing to do with benchmarking averages and user would be interested in seeing details of each vehicles which will be difficult to make it useful on the line graphs.
Feature 4
Advanced Benchmarking
Comparison of one fleet against multiple other multiple data sets. The complications in graphs are introduced here as multiple overlays will be needed to understand fleet performance.
Design explorations
Simple benchmarking were enhanced to graphs as it was much easier to compare and read for users.
Success metric
20%
More user engagement
32%
More time spent on the fleet score card page
15%
Lesser customer calls to clarify graphs & features on the page
Did it change user's life?
It is systematic that I have to spend less time to find what I want & more time doing the actual work
Customisations are easy enough to apply to get different combinations of data for our use.
This is the only page I visit the most to get most of my information.
Thankyou
