I started by trying to define what 'right' even means here, which took longer than it should've.
Start by clarifying the goal: the right number of photos should maximize meaningful engagement without harming user experience. Then propose a data-driven approach using A/B testing to find the optimal number, balancing metrics like engagement, time spent, and user satisfaction.
Pro tip: Frame the answer around trade-offs: more photos can increase engagement but may cause information overload or reduce content diversity. Show you understand that the 'right' number may vary by user segment and context.
Identify primary and guardrail metrics such as engagement (likes, comments, shares), time spent, and user satisfaction (surveys, sentiment). Also consider negative signals like hide/block/report rates.
Hypothesize how the number of photos affects user behavior. For example, more photos might increase engagement but could also lead to scroll fatigue or reduced content diversity.
Randomly assign users to different photo count variants (e.g., 1, 3, 5, 10) and measure the impact on success metrics over a sufficient duration to capture novelty effects.
Analyze overall results and segment by user demographics, behavior, and content type. Look for statistically significant differences and consider qualitative feedback.
Based on findings, determine the optimal number or a dynamic approach that adjusts based on user preferences and context. Continuously monitor and refine.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.