I knew this feature existed so I kept second-guessing whether they wanted me to reverse-engineer the real launch or treat it as a blank slate.
Start by clarifying the goal of reactions: to increase expressive engagement beyond the binary Like. Then structure your answer around user needs, product design, launch strategy, and success metrics, emphasizing how reactions drive deeper engagement and richer signals.
Pro tip: Frame reactions as a way to reduce social friction and increase self-expression, not just add emojis. Highlight how the data from reactions can improve ranking and personalization, showing you think beyond the surface feature.
Define the problem: the Like is too limited for nuanced expression. Identify user segments and their needs for diverse emotional responses.
Propose a set of reactions (e.g., Love, Haha, Wow, Sad, Angry) that cover common emotions. Consider UI/UX for easy access and avoid clutter.
Plan a phased rollout: start with a small test group, gather feedback, iterate, then expand globally. Use A/B testing to measure impact.
Identify key metrics: adoption rate, increase in engagement (posts, comments), reaction diversity, and impact on time spent. Also monitor negative signals like confusion or misuse.
Use data to refine the reaction set and placement. Consider cultural differences and localize if needed. Explore monetization or integration with ads later.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.