Strategy question
Google gets the opportunity to place ads in in-flight entertainment (seat-back and personal device). Should it proceed, or not?
- Strategy
- Hard
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What this question tests
Strategic go or no go reasoning, weighing new revenue against user experience and brand risk in a captive audience setting.
How to approach it
- Clarify the ad format: seat back screens versus personal device ads shown during a flight, since captive attention raises different concerns than typical browsing.
- Assess the upside: in flight entertainment ads reach a captive, low distraction audience, a premium inventory type advertisers would pay well for.
- Assess the downside: passengers can't skip ads easily, and airline partners worry about degrading the premium feel of the flight experience.
- Weigh the trade off: incremental ad revenue against airline partner relationships and passenger satisfaction scores.
- Recommend proceeding cautiously, starting with a pilot on a few routes, capped ad load, and airline opt in rather than a full rollout.
- Define success as ad revenue per flight and passenger satisfaction scores staying flat or improving versus a no ad control group.
What a strong answer includes
- Gives a clear go or no go recommendation instead of listing pros and cons with no conclusion.
- Identifies the real constraint, captive audience means ads can't be skipped, raising the annoyance bar higher than typical ads.
- Gives an illustrative number, for example assuming 5 dollars of ad revenue per flight at a capped ad load.
- Proposes a pilot structure to de-risk the decision before a full commitment.
Common mistakes
- Giving a one word yes or no without weighing passenger experience against revenue.
- Ignoring that airlines, not just passengers, are a key stakeholder who must agree to this.
Likely follow-up questions
- How would you structure the revenue split with airline partners?
- What ad load would you cap at to avoid hurting passenger satisfaction?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop