My first instinct was to jump straight into fixes, which was probably the wrong move.
Start by clarifying the metric definition and scope of the decline, then segment the data to isolate the root cause. Prioritize hypotheses based on impact and likelihood, validate with data, and propose targeted solutions with clear success metrics.
Pro tip: Frame the decline as an opportunity to improve the product by focusing on user value, not just metrics. Show that you can balance short-term fixes with long-term strategic bets.
Define what 'daily active users' means (e.g., logged-in vs. unique visitors) and the time frame and magnitude of the decline. Confirm whether it's a sudden drop or gradual trend.
Break down the metric by dimensions like platform, geography, user cohort, and acquisition channel to identify where the decline is concentrated.
Brainstorm potential internal and external causes, such as product changes, competitive actions, seasonality, or technical issues. Prioritize by impact and ease of validation.
Use analytics, user research, and A/B tests to confirm or refute hypotheses. Look for correlations and causal evidence.
Propose solutions based on root cause, from quick fixes to strategic initiatives. Define success metrics and monitor impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.