Metrics question

Google Maps had a 10% drop in daily active users. What do you do?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Structured root cause investigation for a meaningful but not catastrophic metric decline in a mature product.

Confirm the metric definition and timeframe: which platform, region, and whether this is a sudden drop or a gradual trend.
Rule out measurement issues first, such as a tracking pipeline change or a definition change in how DAU is counted.
Segment by platform (iOS, Android, web), region, and user tenure (new versus long time users) to find where the drop concentrates.
Check for a recent product change: a UI redesign, a permissions prompt change, or a bug affecting a specific device type.
Check external factors: a competing app's feature launch, seasonal travel patterns, or an OS level change affecting location permissions.
Propose next steps based on findings, and set a monitoring window to confirm whether the drop stabilizes, worsens, or recovers.

Starts by confirming data accuracy before jumping to hypotheses, appropriate discipline for a 10 percent drop, which is significant but not extreme.
Segments by platform and user tenure, since a real world Maps drop could stem from something as specific as an iOS permissions change.
Names a concrete, plausible cause, an OS level location permission change, showing real technical awareness of Maps' dependencies.
Proposes a monitoring window to distinguish a one time dip from a sustained trend before overreacting with a major fix.

Jumping to a fix before segmenting the data to understand where and why the drop is concentrated.
Ignoring platform level causes like OS permission changes, which are common real causes of Maps usage drops.
No plan to monitor whether the drop is temporary or a sustained new trend.

Chapters of the AI PM course that teach what this question tests.