I went straight into solutions and had to backtrack when they asked who I was designing for.
Start by clarifying the goal of the birthday experience—whether it's to increase meaningful engagement, strengthen relationships, or drive content creation. Then, segment users and identify pain points, brainstorm solutions, and prioritize based on impact and feasibility. Finally, define success metrics and outline a rollout plan.
Pro tip: Anchor your redesign in Facebook's mission to build community and bring the world closer together. Show how your ideas foster authentic connections rather than just vanity metrics like likes.
Ask clarifying questions to understand the objective: Is the goal to increase engagement, improve user satisfaction, or drive revenue? Define what success looks like and any constraints.
Segment users (e.g., by age, relationship type, activity level) and identify their needs and frustrations with the current birthday experience. Consider both birthday person and well-wisher perspectives.
Generate a range of ideas, from incremental improvements to bold reimaginings. Prioritize using a framework like RICE (Reach, Impact, Confidence, Effort) or impact vs. effort.
Propose metrics to measure success, such as number of birthday wishes sent, engagement rate, user satisfaction, or retention. Include both quantitative and qualitative measures.
Suggest a phased rollout plan, including A/B testing, gathering feedback, and iterating. Consider potential risks and mitigation strategies.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Blanked a little on the prioritization piece.
Start by clarifying the product context and company goals, then define a metric hierarchy (e.g., North Star, primary, secondary) that aligns with Meta's focus on user value and long-term growth. Prioritize metrics based on their impact on the North Star, sensitivity to product changes, and alignment with strategic objectives, using a framework like HEART or AARRR.
Pro tip: Emphasize the importance of balancing quantitative metrics with qualitative insights, and show how you'd avoid vanity metrics by tying every metric to a clear user or business outcome. Mention Meta's emphasis on meaningful social interactions and long-term retention.
Ask clarifying questions to understand the product, its stage, and the company's strategic objectives. This ensures your metrics are relevant and aligned with Meta's mission.
Identify a North Star metric that captures the core value proposition, then break it down into primary and secondary metrics. Use frameworks like HEART or AARRR to cover different aspects of the user journey.
Evaluate metrics based on impact on the North Star, sensitivity to product changes, and alignment with strategic goals. Use a prioritization matrix (e.g., impact vs. effort) to decide which metrics to focus on first.
Define specific, measurable targets for each prioritized metric and establish guardrail metrics to monitor unintended consequences. This ensures balanced optimization.
Emphasize that metrics should evolve with the product and market. Describe how you'd communicate metric choices and progress to stakeholders to maintain alignment.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying the goal of the redesign—likely increasing engagement and meaningful connections around birthdays. Then outline a structured GTM plan that includes defining success metrics, running A/B tests to validate changes, and scaling the winning variant with a phased rollout.
Pro tip: Emphasize the importance of measuring both short-term engagement and long-term retention, and consider how the redesign impacts different user segments (e.g., active vs. passive users). Also, mention the need for a kill switch and guardrail metrics to mitigate risks.
Clarify what the redesign aims to achieve (e.g., increase birthday wishes sent, boost DAU) and define primary and secondary metrics, including guardrails.
Formulate hypotheses for each change, design A/B tests with proper control groups, and determine sample size and duration for statistical significance.
Launch the experiment to a small percentage of users, monitor metrics and user feedback, and iterate on the design based on early signals.
Analyze experiment results to determine if the redesign meets success criteria, and decide whether to launch, iterate, or abandon.
If successful, roll out to all users in phases, continuously monitor metrics, and have a rollback plan in case of negative impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.