AI & Technical question

The Chrome team is looking to reduce power utilization on mobile phones when using the browser. How would you go about solving this problem?

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 technical problem-solving: diagnosing where power is spent in a browser and proposing concrete, measurable interventions.

Clarify the target: active-browsing battery life, background-tab drain, or both.
Break down where a mobile browser spends power: JS execution, GPU rendering/animation, network radio wake-ups, background tabs, autoplaying video/ads.
Prioritize the biggest offenders with data; background tabs and autoplaying video/ads are typically the largest, well-documented drains.
Propose fixes per offender: tab freezing/throttling, autoplay blocking, batching network requests, capping animation frame rate.
Define success as average mAh consumed per hour of active browsing, measured via instrumented power profiling.
Flag the trade-off: aggressive throttling can break sites relying on background timers, so ship behind a flag and monitor breakage.

Names Chrome's actual real levers, tab discarding, battery saver mode, ad/video throttling, not generic 'optimize code.'
Ties each fix to a measurable power metric, not just anecdote.
Flags the trade-off between power savings and site compatibility, with a staged rollout to catch breakage.

Treating this as pure engineering with no product metric or rollout plan.
Ignoring background tabs and ads, the largest real-world drains, and focusing only on rendering.

How would you measure whether a fix improved battery life in the field, not just in a lab?
How would you prioritize this against a feature launch competing for the same engineers?