I went straight to user engagement metrics without pausing to think about what 'the system' actually needed to accomplish.
Start by defining the system's goal and the user problem it solves, then select a KPI that is a leading indicator of that goal and is actionable. Explain how you would validate the KPI, set targets, and iterate using experiments and data to improve it over time.
Pro tip: Choose a KPI that balances user value and business value, and be ready to discuss how you'd avoid gaming the metric by pairing it with counter-metrics.
Understand the system's purpose, the user problem it addresses, and how it aligns with company goals. This ensures the KPI measures what truly matters.
Choose a metric that is a leading indicator of success, actionable, and easy to understand. Consider frameworks like HEART or AARRR to identify options.
Check that the KPI correlates with long-term value, is not easily gamed, and has a clear baseline. Set realistic targets based on historical data or benchmarks.
Track the KPI over time, run experiments to test improvements, and analyze results. Use A/B testing to isolate the impact of changes.
As the system evolves, revisit the KPI to ensure it remains relevant. Be willing to change it if it no longer reflects the goal or if unintended consequences arise.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.