I jumped straight into the metrics funnel which felt right but I skipped clarifying the timeframe and magnitude first, which I think cost me points early on.
Start by clarifying the scope and impact of the decline, then systematically investigate potential causes across the funnel, technical, and external factors. Prioritize hypotheses based on data, and propose a response plan that includes immediate mitigation and long-term prevention.
Pro tip: Demonstrate a structured, data-driven approach by mentioning specific metrics you'd check (e.g., conversion rate by channel, crash rates) and by considering both internal and external factors. Also, show awareness of LinkedIn's ecosystem and how app installs tie to broader business goals.
Define what 'down' means: magnitude, timeframe, and affected segments (e.g., iOS only, specific regions). Confirm data sources and ensure the decline is real and not a tracking issue.
Break down the install funnel (impressions, app store views, downloads) and segment by channel, geography, device, and user cohort to isolate where the drop occurs.
List potential causes: technical (app crashes, compatibility), marketing (campaign changes, budget cuts), external (competitor launch, iOS updates), and product (onboarding changes). Prioritize based on impact and likelihood.
Use data to test hypotheses: check crash logs, campaign performance, app store rankings, and user feedback. Collaborate with engineering, marketing, and data teams to validate root cause.
Implement immediate fixes (e.g., rollback, campaign adjustments) and long-term solutions (e.g., improved testing, monitoring). Set up alerts and track recovery metrics to ensure sustained improvement.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.