My first instinct was to jump into features but I forced myself to slow down and think about who actually cares about these emails anymore.
Start by clarifying the goal of the email notification (e.g., drive engagement, reduce annoyance) and segment users based on their tagging frequency and preferences. Then, propose improvements across the notification content, timing, and delivery channels, and define success metrics to measure impact.
Pro tip: Show empathy for both the tagged user and the tagger by considering the social dynamics—over-notifying can lead to negative sentiment, so focus on relevance and user control. Also, tie your solution to Meta's business goals like increasing meaningful interactions or reducing notification fatigue.
Ask clarifying questions to understand the current email notification system, user pain points, and what success looks like (e.g., increase photo views, reduce unsubscribes).
Break down users by tagging frequency, relationship to tagger, and notification preferences to tailor solutions for different groups.
Generate ideas across content (e.g., include photo thumbnail, tagger name), timing (e.g., batch notifications), and channel (e.g., in-app vs. email) to enhance relevance and reduce noise.
Use a framework like RICE to prioritize ideas, and define success metrics such as open rate, click-through rate, photo view rate, and unsubscribe rate.
Propose A/B tests to validate improvements, measure impact against metrics, and iterate based on results.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.