Strategy question

Build an executive dashboard for the Amazon checkout page.

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

Metrics and stakeholder thinking, translating an executive's goals into the right dashboard for a specific funnel.

Clarify who the executive is and what decisions they make, e.g. a VP of Retail deciding where to invest in checkout improvements.
Identify the top level metric they care about, checkout conversion rate and revenue per session.
Build the metric tree beneath it, cart abandonment rate, payment failure rate, and average time to complete checkout.
Segment key views by device, new versus returning customer, and payment method to reveal where problems concentrate.
Decide on cadence and alerting, daily trend lines plus anomaly alerts for sudden conversion drops.
Mock the layout: top line KPIs at a glance, trend charts below, and drill-down segments on demand.

Distinguishes the executive dashboard, which needs 3 to 5 headline numbers, from an analyst dashboard with many charts.
Picks metrics an executive would act on, like conversion rate and abandonment rate, not vanity counts like total page views.
Adds a guardrail metric, such as payment failure rate by processor, to catch technical issues early.
Explains the segmentation choice, device and payment method, because those are where checkout problems usually hide.

Building an analyst-style dashboard with too many metrics for an executive audience.
Not tying metrics to decisions the executive would actually make.
Ignoring segmentation, showing only an aggregate conversion number.

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