Product design question

How would you go about designing a dashboard of call quality for WhatsApp?

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

Internal tooling design skill: building a diagnostic dashboard for an operations or engineering audience.

Clarify the audience: likely network engineers and support teams needing to triage call quality issues quickly.
Identify what 'quality' means: dropped call rate, audio latency, jitter, and connection failure rate as the core signals.
Prioritize a geographic and network type breakdown (WiFi versus cellular, by region), since quality issues are rarely uniform.
Propose a dashboard with a top line health score and drill down views by region, network type, and time to spot emerging issues fast.
Add alerting thresholds so the team is proactively notified of a regional quality drop rather than discovering it from user complaints.
Define success as time to detect a quality regression and time to resolution after detection.

Names concrete call quality signals, dropped rate, jitter, latency, rather than a vague 'quality score' with no defined inputs.
Prioritizes segmentation by region and network type, since call quality issues are almost always localized, not global.
Gives an illustrative number, e.g. assumes targeting detection of a quality regression within 15 minutes versus relying on user reports.
Proposes proactive alerting, shifting the team from reactive complaint handling to proactive issue detection.

Proposing a single undifferentiated quality score with no breakdown by region or network type.
Designing this purely reactively, relying on user complaints instead of proactive alerting.
No metric tied to how quickly issues are detected or resolved.

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