I went straight to risk segmentation and kind of forgot to question the business model first, which I think hurt me.
Start by clarifying the goal: is this pricing for Waymo's own insurance product, or for underwriting by third-party insurers? Then structure your answer around risk assessment, data-driven pricing, and regulatory considerations, emphasizing the unique aspects of autonomous vehicles. Conclude with a phased approach to pricing as data accumulates and public trust grows.
Pro tip: Acknowledge that traditional auto insurance pricing models rely on human driver behavior, which is irrelevant for autonomous vehicles; instead, focus on vehicle system reliability, operational design domain, and cybersecurity risks. Also, mention the importance of partnering with reinsurers and regulators to build a sustainable insurance framework.
Determine whether Waymo is offering its own insurance or facilitating third-party insurance, and what the primary goals are (e.g., profitability, adoption, risk mitigation).
Assess risks unique to autonomous vehicles: software/hardware failures, sensor limitations, cyber threats, and liability in mixed autonomy environments. Use simulation and real-world data to quantify.
Leverage telemetry, disengagement reports, and incident data to create actuarial models. Consider usage-based or subscription models, and factor in geographic and temporal variations.
Engage with regulators to establish liability rules and insurance requirements. Consider pooling risk or creating a captive insurance entity to manage exposure.
Start with pilot pricing, gather data, and adjust dynamically. Communicate transparently with users and regulators to build trust and refine the model.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.