Wasn't expecting this angle from a software engineer interview.
Start by connecting your work to a specific customer problem and the value it delivers, then describe the metrics and feedback loops you use to validate that value. Emphasize a data-driven, iterative approach and show how you close the loop between customer feedback and engineering decisions.
Pro tip: Tie your metrics to business outcomes (e.g., revenue, retention) and show you understand the difference between leading and lagging indicators. Also, mention how you balance quantitative data with qualitative feedback to avoid tunnel vision.
Clearly state who the customer is (e.g., law enforcement agencies, first responders) and the specific problem your work addresses. This sets the context for value creation.
Explain how your engineering work (e.g., feature, system improvement) directly benefits the customer—such as saving time, improving safety, or reducing costs. Connect it to Axon's mission.
List the key metrics you use to measure success, such as adoption rate, task completion time, error rates, or customer satisfaction scores. Distinguish between output and outcome metrics.
Describe how you gather and act on feedback—e.g., user interviews, A/B tests, analytics dashboards, support tickets. Show how you iterate based on insights.
Provide a specific instance where you used metrics and feedback to improve a product or feature, highlighting the impact and lessons learned.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.