This one tripped me up a bit because it sounds like a simple yes/no but it really isn't.
Start by clarifying the goal of the onboarding flow and the profile photo step, then define success metrics and hypothesize the impact of removal. Propose an A/B test to measure the effect on key metrics, and consider segment-level and long-term effects before making a recommendation.
Pro tip: Acknowledge that profile photos drive trust and engagement, but removal might reduce friction; suggest testing with a holdout to measure long-term effects on network quality and retention.
Understand the purpose of the onboarding flow and the profile photo step. Identify what success looks like for onboarding (e.g., completion rate, time to first action) and for the platform (e.g., user engagement, trust).
Formulate hypotheses about how removing the step affects user behavior. Select primary and guardrail metrics such as onboarding completion rate, profile photo upload rate, new user retention, and engagement.
Propose an A/B test where the control group sees the current flow and the treatment group skips the profile photo step. Ensure proper randomization, sample size, and duration to detect meaningful differences.
Compare metrics between groups, check for statistical significance, and analyze segments (e.g., new vs. existing users, demographics) to understand heterogeneous effects.
Based on results, recommend whether to remove the step. Consider long-term implications via holdout groups or qualitative research, and propose next steps like iteration or further testing.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.