I went straight to metrics and kind of skipped the part where you define what 'growth' even means for the feature in question.
Start by clarifying the feature's goal and the business context, then define a north-star metric and supporting metrics that tie directly to growth. Propose a structured measurement plan using A/B testing and long-term impact analysis, while acknowledging trade-offs and potential confounders.
Pro tip: Emphasize Amazon's leadership principles like Customer Obsession and Dive Deep by linking metrics to customer behavior and long-term value, not just short-term gains. Show you understand that strategic impact often requires balancing quantitative data with qualitative insights and considering second-order effects.
Ask clarifying questions to understand the feature's purpose, target users, and expected growth mechanism. Formulate a clear hypothesis about how the feature will drive growth.
Identify a north-star metric (e.g., customer acquisition, engagement, retention) and supporting metrics. Establish guardrail metrics to ensure the feature doesn't harm other areas.
Propose an A/B test or phased rollout with control groups. Outline data collection methods, sample size, and duration to ensure statistical power.
Analyze the experiment results for statistical significance and practical impact. Consider segment-level effects and long-term trends, then iterate or scale based on findings.
Summarize findings in business terms, linking them to strategic goals. Recommend next steps and how to monitor ongoing impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.