Data Requirements vs Application Simplicity

Business Context

Underwriters and pricing models benefit from detailed information about customers and exposures, but extensive applications create friction for customers, agents, and brokers. Long questionnaires can reduce completion rates, increase data-entry errors, and slow quotation. Removing questions improves simplicity but can leave the insurer without information required for accurate risk selection and pricing.

Insurance TRIZ Resolution

Insurers can replace universal information collection with progressive data acquisition. Existing internal information and reliable external sources can populate known fields automatically. Initial questions can determine which additional information is relevant, allowing subsequent requirements to adapt to the specific risk. Detailed data are requested only when they materially influence underwriting or pricing.

Applicable TRIZ Principles

Principle 10 – Prior Action retrieves available information before requesting it from the applicant.

Principle 1 – Segmentation divides information into essential, conditional, and specialist requirements.

Principle 15 – Dynamics adapts the application according to previous answers and risk characteristics.

Expected Outcome

Simpler insurance applications

Maintained underwriting information quality

Faster quotation

Lower customer abandonment

Decision Indicators

Early indicators that this contradiction is limiting performance include:

Applications grow continuously as new underwriting requirements are added.

Applicants repeatedly provide information already available elsewhere.

Large portions of collected data rarely influence decisions.

Application abandonment increases with questionnaire length.

Underwriters request substantial information after initial submission.

Monitoring these indicators helps insurers collect the right information when it becomes relevant rather than maximizing data collection at the beginning of every transaction.