Question: Explain how error analysis can help a team decide whether to spend time on a proposed machine learning change. Why should this check come before a large development effort?

Sample answer: Error analysis gives the team a simple way to count how often a particular failure appears and estimate how much performance might improve if that failure were reduced. That estimate turns a vague idea into a practical decision tool: if the expected gain is small, the team can avoid spending many days or weeks on the change and instead work on a higher-value problem. Doing this early matters because it reduces wasted effort and helps the team allocate limited development time more effectively.

Key points:

• Error analysis can estimate the potential benefit of a proposed change.
• It supports a quantitative go/no-go decision.
• It helps compare the likely return against the development cost.
• It prevents long efforts with little expected payoff.

Rubric: The essay should explain that error analysis estimates possible performance gains and that this estimate helps determine whether the proposed work is worth the development time.