flâneur

Binstack: Making a maximal multi-dimensional decision

longform.asmartbear.com · 3,447 words · saved by 3 readers

Many decisions in life and business are instances of “multi-dimensional maximization,” in which we wish to pick the “single best” among a set of choices, but we’re confounded because each choice is variously better or worse along different dimensions. Examples: Not only do you need the best decision, you also need to be able to explain your decision to others, especially to those who wish the decision had gone a different way. Do not under-value the importance of crisp explanation. The “rubric” is the typical framework for these decisions; a separate paper on this site explains how to use one effectively for “ROI-style” decisions1. Unfortunately, while it may feel productive to fill many cells with many numbers, and while it may feel analytically rigorous to convolute those numbers into a final score, this fails to clearly identify the best choice, and fails to create a clear explanation for the choice. After demonstrating and analyzing the causes of this failure, I present an alternat

Binstack: Making a maximal multi-dimensional decision by Jason Cohen on July 2, 2022 Binstack is a technique for selecting the "single most impactful" solution when there are multiple, incomparable dimensions to evaluate. source Many decisions in life and business are instances of “multi-dimensional maximization,” in which we wish to pick the “single best” among a set of choices, but we’re confounded because each choice is variously better or worse along different dimensions. Examples: Which major feature should we spend the next six months building? (P would generate revenue, but Q would redu

saved by

related reading