Auto Navigator: Share With Dealer
Case study on delivering Share With Dealer inside Capital One Auto Navigator across a distributed system of micro frontends, a BFF layer, and backend microservices under security/compliance-driven product constraints.
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Share With Dealer was a product-critical capability within Auto Navigator that lets buyers securely share pre-qualification details with dealerships. The work required end-to-end delivery thinking because the value depended on trust, low friction, and reliable handoff across a distributed request path spanning multiple product surfaces, a BFF layer, and downstream services.
Problem / Constraints
The hard part was shipping a consistent experience across dealership sites and internal Capital One applications while operating inside strict security, legal, and data-handling requirements. We needed a distributed architecture (MFEs, BFF, and backend microservices) that could move quickly without fragmenting UX or tightly coupling every client to backend changes.
Ownership & Scope
I helped drive implementation from concept through production, with ownership across micro frontend integration patterns and the BFF layer that coordinated multiple backend microservices. That scope included interface contracts, rollout-ready behavior, and operational considerations for a multi-surface distributed deployment model.
Key Decisions / Tradeoffs
Security and compliance requirements were product requirements, not a late-stage review step. I worked closely with security and legal partners to build the feature around protected data flows and authentication expectations, trading some implementation speed for lower launch risk and a safer user experience.
Key Decisions / Tradeoffs
I instrumented the experience so product and engineering decisions could be guided by real usage and funnel behavior rather than anecdotal feedback. The tradeoff was additional event design and governance work up front, but it gave us a better path to iterate safely after launch.
Outcome / Impact
Share With Dealer improved the quality of the buyer-to-dealer handoff by reducing re-entry friction and making financing context available earlier in the process. Public metrics for conversion and time-to-close were not published, but the product outcome was a more transparent car-buying flow delivered under enterprise-grade security and compliance constraints.
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