Which method is used for improving an analyst's ability to make good estimates?

The method that improves an analyst's ability to make good estimates is calibration. Calibration involves adjusting estimates based on past performance and outcomes. It helps ensure that the analyst's intuition aligns with reality by providing a systematic way to refine judgment based on historical data or feedback.

Through calibration, analysts can develop a better understanding of their estimation tendencies—such as being overly optimistic or pessimistic—thereby improving their accuracy in future assessments. This process allows the analyst to compare their estimates against actual outcomes, which fosters a more accurate internal model over time. As analysts calibrate their judgments, they become better equipped to evaluate risks and make informed decisions, thus enhancing their overall analytical capabilities.

While business scenarios, risk identification, and scenario parsing are important in risk evaluation, they do not specifically target the enhancement of estimation accuracy as effectively as calibration does.