This is basically a mini product strategy case dressed up as a data exercise.
Start by clarifying the dataset scope and business goal, then structure your 5-slide narrative around a clear problem statement derived from data. Focus on one high-impact pain point, propose a data-backed solution, and tie everything to measurable metrics and risks.
Pro tip: Anchor your solution in a specific user segment and quantify the opportunity size (e.g., 'X% of users abandon at step Y, representing $Z in potential revenue') to show business acumen.
Ask clarifying questions about the dataset (e.g., time period, user segments, key events tracked) and the business objective (e.g., increase conversion, reduce support calls).
Explore the data to find patterns, anomalies, and pain points (e.g., drop-off points, low engagement features). Prioritize insights by potential impact.
Develop one data-backed product solution addressing the top pain point. Define 3-5 success metrics (e.g., conversion rate, task completion time) with clear targets.
Identify major risks (e.g., technical feasibility, user adoption) and mitigations. Add one enhancement idea beyond the original scope to show forward thinking.
Organize your findings into 5 slides: 1) Title & objective, 2) Key insights, 3) Proposed solution, 4) Success metrics, 5) Risks, mitigations, and enhancement.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.