I went straight to revenue and DAU and immediately felt like I was listing things off a Wikipedia page.
Start by acknowledging that KPIs depend on the company's business model and stage, then propose a balanced framework covering growth, engagement, monetization, and reliability. For a software engineer role at Meta, emphasize how engineering directly influences these metrics and how you would instrument and monitor them.
Pro tip: Tie each KPI to a specific engineering initiative you could own, showing you think like an owner who connects code to business outcomes. Mention that you'd validate metrics with A/B tests and guard against vanity metrics.
Ask about the company's business model, stage, and primary goals to tailor KPI selection. This shows you avoid one-size-fits-all answers.
Group metrics into acquisition, engagement, monetization, retention, and reliability. This ensures comprehensive coverage of company health.
Select 1-2 key metrics per category and define them precisely (e.g., DAU/MAU, LTV, p95 latency). Explain why they matter for the company's strategy.
Describe how engineering decisions impact each KPI and how you would instrument, monitor, and experiment to improve them.
Explain how you'd set up dashboards, alerts, and regular reviews to track trends and adapt as the company evolves.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.