I started with engagement metrics and the interviewer just kind of waited, like that wasn't enough.
Start by clarifying the goal of the reaction feature and the key metrics that define success, then outline a structured A/B test with clear hypotheses, target audience, and success criteria. Emphasize how you would measure both quantitative metrics (e.g., engagement, retention) and qualitative feedback, while considering Apple's ecosystem and privacy standards.
Pro tip: Tie your metrics to Apple's north-star principles like user privacy and seamless experience; for example, propose measuring reactions without compromising user data, and highlight how the feature could increase meaningful interactions rather than vanity metrics.
Identify primary and secondary metrics that align with the feature's goal, such as reaction usage rate, story completion rate, and 7-day retention. Ensure metrics are specific, measurable, and tied to business objectives.
State clear hypotheses about the expected impact, e.g., 'Adding reactions will increase story engagement by 10% and improve retention by 5% among active users.'
Outline an A/B test with a control group (no reactions) and treatment group (with reactions). Specify randomization, sample size, duration, and guardrail metrics to monitor unintended consequences.
Plan statistical analysis to compare groups, check for significance, and segment results by user demographics or behavior. Combine with qualitative user feedback to understand the 'why' behind the numbers.
Based on results, recommend whether to launch, iterate, or abandon the feature. Consider long-term effects and potential follow-up experiments to optimize the feature.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.