Went with the classic likelihood-times-impact framing and then broke it into buckets like operational, compliance, reputational.
Start by defining risk as the potential for uncertain events to impact project objectives, then present a structured categorization framework that covers technical, product, and operational dimensions. Tailor your answer to Google's engineering context by emphasizing data-driven prioritization and mitigation strategies.
Pro tip: Demonstrate maturity by acknowledging that risk categorization is not static; risks evolve throughout the software lifecycle, so you continuously reassess and reprioritize based on new information and metrics.
Briefly define risk as the effect of uncertainty on objectives, and introduce the idea that risks can be categorized along multiple dimensions such as technical, product, and operational.
Discuss risks related to system architecture, scalability, security, and technical debt. Give examples like choosing a new technology that may not scale or integrating with legacy systems.
Cover risks that impact product success, such as unclear requirements, market fit, user adoption, and metric misalignment. Mention how these can be validated through experiments and analytics.
Address risks in delivery, such as timeline slippage, resource constraints, and dependencies. Explain how you might use root cause analysis and mitigation plans to manage them.
Explain how you assess likelihood and impact to prioritize risks, and describe strategies like prototyping, canary releases, and monitoring to mitigate them.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.