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Friend Content in Newsfeed · Meta · Product Sense

01Define ‘enough’84Strong

02Diagnose the gap88Strong

03Segment the analysis45Weak

04Design the experiment81Strong

Top growth area

Your one soft spot is segmentation. You reasoned well in aggregate but didn’t split the problem — break it out by user type and network size (new users vs. power users with large networks) before drawing conclusions.

Real case study interviews from

Diagnosing Metric Changes

Investigate drops, decompose metrics, find root causes

GoogleProduct SenseHard~30 min

YouTube Watch Time Drop

YouTube's total watch time dropped 8% week-over-week. The VP of Product wants a root cause analysis before the quarterly business review. Multiple platform, regional, and content-type dimensions may be driving the decline, and early data suggests the drop is concentrated on mobile.

Metric decomposition across multiple dimensionsPlatform-specific hypothesis generationDistinguishing product vs. external causesPrioritized investigation framework

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GoogleProduct SenseHard~30 min

Google Play Privacy vs Engagement

Google Play's privacy perception score improved 8% after launching prominent privacy labels, but Play Store engagement (app installs, browse time, return visits) dropped 14% in the same period. The VP of Trust & Safety wants to understand whether the privacy initiative is hurting engagement or if this is coincidental.

Disentangling correlated metricsCausal vs. coincidental analysisUser segment-level diagnosisPrivacy-engagement tradeoff reasoning

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GoogleProduct SenseHard~30 min

Google Search Simpson's Paradox

Average searches per user declined 4% globally, but average searches per user increased in every individual country. The CEO asks why the global number is going down if every country is improving. You need to diagnose and explain this paradox clearly enough for an executive audience.

Simpson's Paradox recognitionCompositional shift analysisExecutive-level metric communicationGrowth-stage metric framing

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GoogleProduct SenseMedium~25 min

Google Maps DAU Drop

Google Maps DAU dropped 10% over the past 2 weeks. The VP of Geo wants an explanation before the exec review. The drop could stem from a recent iOS update, a product change, an external factor, or a data quality issue. You need to systematically rule out hypotheses.

Systematic hypothesis eliminationPlatform-specific diagnosisData quality vs. product vs. external cause distinctionStructured communication under time pressure

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Measuring Feature Success

Define metrics, track impact, identify issues

GoogleProduct SenseMedium~25 min

Google Docs Metrics From Scratch

Google Docs has never had a formal metrics framework. The new PM is tasked with designing one from scratch. The challenge: DAU is growing 6% QoQ, but docs created per user is declining 8%. Collaboration features are underutilized, and it's unclear whether Docs is winning on quality or just inertia. Design the top 5 metrics and identify the North Star.

Metric framework design from first principlesNorth Star metric selection and justificationCollaboration quality measurementLeading vs. lagging indicator reasoning

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Navigating Tradeoffs

Multi-stakeholder reasoning, optimization under constraints

GoogleProduct SenseMedium~25 min

YouTube Comments vs Watch Time

YouTube's recommendation algorithm update increased comments by 22% but decreased average watch time per session by 11%. The algorithm is surfacing more short, controversial, and opinion-driven content that generates comments but pulls users away from long-form content. The VP of Product wants to know which metric matters more for long-term retention.

Metric hierarchy and prioritizationShort-term vs. long-term tradeoff reasoningPlatform health and creator ecosystem thinkingEngagement quality vs. quantity distinction

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Making Strategic Decisions

Framework building, competitive analysis, recommendations

GoogleProduct SenseMedium~25 min

Gmail User Base Growth

Gmail has 1.8 billion accounts but active user growth has plateaued at 2% annually. The VP of Gmail wants to increase the active user base by 15% in 18 months. You need to define the right metrics, identify where the activation funnel breaks, and design a referral experiment to drive growth beyond organic sign-ups.

Growth metric design beyond vanity metricsActivation funnel analysisReferral experiment designMarket segmentation for growth strategy

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