Metrics question

What would you do if, all of a sudden, our web traffic dropped by 100%?

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

Incident response and root cause thinking under a severe, sudden metric failure.

Immediate step: verify the drop is real, not a tracking or analytics reporting bug, by checking a second independent data source.
Check for an outage: confirm whether the site or app is actually down or returning errors for real users.
Check recent changes: correlate the drop's exact timing with a recent deploy, DNS change, or third-party dependency failure.
Check external factors: a blocked domain, a broken redirect, or a search engine deindexing event could cause a sudden 100 percent drop.
Escalate immediately to engineering and infrastructure teams given the severity, this is an incident, not a routine investigation.
Communicate status to stakeholders with a clear timeline for updates, then do a postmortem once resolved to prevent recurrence.

Treats a 100 percent drop correctly as an incident requiring immediate escalation, not a routine analysis task.
Checks tracking or analytics failure first, a common false alarm cause that should be ruled out before deeper investigation.
Proposes checking recent deploys and third-party dependencies as the most likely root cause for a sudden total drop.

Treating this like a normal metrics dip requiring slow, methodical analysis instead of urgent incident response.
Not ruling out a tracking or analytics reporting failure first.
No plan for stakeholder communication during the incident.

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