Design the event instrumentation for Insurance at scale at global scale

Problem Statement Description

Product context: Tesla is an electric vehicle, energy, and software company; its products include EVs, charging, vehicle software, Autopilot/FSD features, energy storage, and solar products.

Tesla Insurance relies on connected-vehicle data, driver behavior signals, policy lifecycle events, claims interactions, billing activity, and customer support touchpoints to understand risk, price coverage, improve safety outcomes, and operate reliably across markets. Your task is to define how event instrumentation should be designed for Insurance as the product scales globally, with particular attention to safety-conscious families using Tesla vehicles and connected services.

This is a Technical PM design question focused on the data and systems layer behind the insurance experience. The interviewer is looking for how you would structure requirements, event taxonomy, data contracts, ownership, quality controls, privacy boundaries, reliability expectations, and rollout strategy across mobile app, vehicle telemetry, backend insurance systems, claims flows, payments, and regional compliance environments.

You should assume a high-scale, multi-country context where insurance data may influence customer trust, pricing accuracy, claims handling, regulatory reporting, and safety product feedback loops. The design should account for both real-time and batch needs, differences between vehicle-generated data and user-entered data, and the operational risks of incomplete, delayed, duplicated, or misinterpreted events.

The experience should consider:

- Core user and business workflows to instrument, including quote, bind, policy changes, driving behavior, safety score inputs, claims, billing, renewal, cancellation, and support interactions.

- Event definitions, schemas, identifiers, timestamps, state transitions, and data lineage needed to make events usable across product, actuarial, engineering, claims, compliance, and customer support teams.

- APIs, data pipelines, storage, streaming, and integration points between vehicle systems, Tesla app, insurance backend services, payment systems, and analytics platforms.

- Reliability requirements such as latency, event ordering, deduplication, offline capture, retry behavior, backfills, data completeness, and incident handling.

- Privacy, consent, security, access control, retention, regional regulation, and customer transparency for sensitive insurance and driving data.

- Observability and governance, including instrumentation health metrics, schema validation, auditability, anomaly detection, data quality alerts, and ownership of event contracts.

- Rollout approach across geographies, vehicle models, insurance products, and customer cohorts, including migration from legacy instrumentation and safe experimentation.

- Product trade-offs between instrumentation depth, customer trust, regulatory complexity, engineering cost, model accuracy, and operational speed.

Your goal is to describe a scalable event instrumentation design that enables Tesla Insurance to operate accurately, safely, and compliantly at global scale without prescribing a specific pricing, underwriting, or claims strategy.