Case context: A product team has a manual review set with 12 recorded failures. The team cannot collect more labeled examples right now and wants to decide which failure types to fix first.

Question: Identify the limitation of the evidence and explain how the team should use the 12 failures when setting priorities.

Sample answer: The team should recognize that 12 failures provide only a very small review set. It should not assume that the observed mix of failure types gives an accurate estimate of their true prevalence, because the sample is too small. Even so, since no additional data can be added, the team should inspect the failures and use the observed categories as rough guidance for prioritization, while treating those conclusions as provisional.

Key points:

• The set of 12 failures is very small.
• It is hard to estimate category impact accurately from such a small sample.
• The team cannot add more data right now.
• The failures should still be examined.
• Priorities based on the sample should be viewed as tentative.

Rubric: Full credit requires noting the small-sample limitation, rejecting the idea that category impact can be estimated accurately, and recommending cautious use of the available failures for prioritization because they are still informative.