[Data/Analysis] How do you make recommendations when the available data is incomplete?

Instruction: Explain how you form a recommendation when the evidence is directionally useful but not complete.

Context: Assesses whether the candidate can make grounded recommendations without overstating certainty.

Official answer available

Preview the opening of the answer, then unlock the full walkthrough.

When the data is incomplete, I focus on being honest about confidence, assumptions, and risk instead of pretending I have full proof. I still want to use the best evidence available, but I pair the recommendation with what is known, what is uncertain, and what additional information would most change the decision.

In practice, that often means...

Related Questions