Strategy question

Let's say there are a few countries where Instagram Reels aren't doing so well. Identify why.

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

Tests root-cause diagnosis for a regional product performance gap: can you form and test hypotheses before jumping to a fix.

Clarify what 'not doing so well' means: low adoption, low watch time, or low creator supply, since each points to a different root cause.
Group hypotheses into buckets: content supply (few local creators or trending sounds), infrastructure (low bandwidth, data costs on video-heavy content), competition (TikTok or local apps dominant), and cultural fit (short-video habits not yet formed).
Pull data to narrow it down: compare creator-to-consumer ratio, video load times, and competitor app rankings in the affected countries versus healthy ones.
Interview or survey local users and creators to get qualitative signal on why they are not engaging.
Prioritize the most likely and most fixable cause first, for example low creator supply is often the actual bottleneck in new markets, more than consumer demand.
Propose a targeted fix tied to the diagnosed cause, such as a local creator incentive program if supply is the issue, rather than a generic marketing push.

Separates supply-side causes (creators, content) from demand-side causes (infrastructure, competition), which most candidates blur together.
Uses a concrete signal to test a hypothesis, such as comparing data costs per video-minute against average mobile data plans in the affected countries.
Names likely competitors by region as an example, such as strong local short-video apps in parts of Southeast Asia, framed as illustrative context.
Avoids jumping straight to a marketing fix before confirming whether the bottleneck is supply, infrastructure, or fit.

Assuming the cause is marketing awareness without checking supply-side data first.
Treating all underperforming countries as one bucket instead of segmenting by likely cause.
No plan for how to validate the hypothesis before proposing a fix.

Which single data cut would you pull first to test your top hypothesis?
How would a low-bandwidth market change your video product decisions?
What would you do differently if creator supply looked healthy but watch time was still low?