Adaptive Insurance Onboarding: One System, Three Personalized Flows

Everyday Life Insurance partners with lead generation sites to help families find affordable coverage. I identified that the handoff from partner sites was killing conversion.

The core insight: respect user time investment. I created a classification algorithm that adapts the landing experience based on data completeness, eliminating 95% of redundant fields and reducing friction at the most critical conversion moment.

The Problem

Users who spent 15 minutes completing forms on partner sites (insure.com) arrived at Everyday Life Insurance only to face a completely blank landing page, forcing them to re-enter everything. Conversion dropped from 45% to 18% at this handoff point.

The Solution

I designed an adaptive classification system that detects incoming data completeness and personalizes the onboarding flow. Creating three distinct journeys ranging from a 90-second VIP experience (95%+ data) to a guided 6-8 minute journey (minimal data).

Key Decisions

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Complete Data Flow - VIP Experience

Users with 95%+ complete data get a sub-2-minute flow. The landing page acknowledges their received data immediately, shows all pre-filled information in editable cards, and only asks for confirmation. Transforming 15-minute redundancy into a 90-second trust-building experience.

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Partial Data Flow - Smart Pre-Population

Users with 50-90% data completeness get a personalized experience showing their received information and focusing only on missing fields. I organized questions by sensitivity (non-sensitive first, then health/financial), with clear progress indicators and expected completion time.

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Low/No Data Flow - Guided Journey

Users with minimal data get a full educational experience with step-by-step guidance. Progressive disclosure ensures manageable chunks, clear expectations for 6-8 minute completion, and context for why each question matters. Turning potential friction into a confidence-building process.