Now this is a million dollar question! The underwriter’s performance determines the premium coverage that you get and hence determines the business profitability. It’s a fine balance so that you don’t overprice your premiums and become unattractive and at the same time do not underprice and expose yourself to risk. While underwriting quality is important, productivity is also of critical importance. Superior productivity would mean shorter TAT, faster policy issuance and hence increased customer satisfaction.
GrayMatter’s Insurance Analytics (IA+) solution provides pre-built, enterprise-wide comprehensive business insights. of Underwriting analytics is a separate module in the solution. The module addresses the above objectives of quality and productivity with relevant metrics as follows:
- New cases ( proposal) handled by each underwriter per day
- Average time taken to underwrite medical, non-medical cases, motor, non-motor cases against SLA
- of new cases underwritten by each underwriter per day
Quality Measures the No. of Cases
- Underwritten in 1st attempt
- Referred to senior underwriters
- Referred for review
- Top 10 / bottom 10 underwriters on Productivity measures
- Top 10 / bottom 10 underwriters on quality measures
To determine insurance risk correctly, underwriters needs to analyze specific risk parameters in relation to claim experiences for each product segment. With the help of IA+ solution, the underwriters can analyze specific risk parameter of new policies, customer portfolio and customer segments before taking decision which can help reducing claim & improve profitability for insurance companies. The predictive model of Insurance Analytics (IA+) provides customer risk scoring so that risk can be estimated before underwriting the policy.
The IA+ solution provides role-based, technology agnostic, device agnostic analyses with best in class UI standard to ensure a seamless user experience. A sample dashboard from the underwriting analytics solution is provided below for your quick reference on the typical UI deployed: