Question
Marketplace diagnosis case. A grocery-delivery marketplace (Instacart-style) observes that on Sunday afternoon, the number of orders that shoppers accept drops by about 2/3 compared to the usual baseline.
Assume this is a same-day change (not a long multi-month trend). You have access to typical marketplace logs: order creation / checkout, dispatch and offer events, acceptances, cancellations, ETAs, shopper app events, and merchant/store signals. Acting as the on-call, bar-raiser-style interviewer, diagnose the problem.
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Clarify the metric.
Define precisely what "orders accepted" means and which denominator(s) matter (e.g. accepted count vs. acceptance rate = accepted / offered). State a clean funnel decomposition.
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Build a structured root-cause tree
from three perspectives: (a)
shopper supply / behavior
, (b)
customer demand / order mix
, and (c)
merchant / store operations and platform systems
.
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List the key metrics and slices you would check first
(at least 10), and state what pattern in each would support or refute a hypothesis.
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Distinguish a real behavioral change from a logging / measurement artifact
— how would you confirm the drop is real?
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Propose immediate mitigations and longer-term fixes
, including at least one experiment or controlled rollout plan to validate the leading hypothesis and prevent recurrence, and state the "next action" you would recommend.