Which method is least likely to provide meaningful insights into a decision-making process?

The method that is least likely to provide meaningful insights into a decision-making process is guesswork based on assumptions. This approach is inherently subjective and lacks a systematic basis, which is crucial in the data-driven decision-making framework. Guesswork often relies on intuition or unfounded beliefs rather than empirical evidence or data analysis. Consequently, it can lead to decisions that are not grounded in reality, making it highly unreliable.

In contrast, qualitative analysis involves examining non-numerical data, providing insights into motives, feelings, and experiences that can inform decisions. Quantitative analysis, on the other hand, uses numerical data to derive conclusions based on statistical methods, leading to more objective and evidence-based insights. Comparative analysis with past data examines historical performance and trends, allowing decision-makers to draw informed conclusions and recognize patterns that may guide future actions. Each of these methods is structured and relies on data or systematic reasoning, making them far more effective for informed decision-making compared to guesswork.