Hard Choice Classification

Decision difficulty classification evaluates candidate options by assessing their impact and comparability to categorize choices as No-brainer, Apples & Oranges, Big choice, or Hard choice. This guides resource allocation and meta-reasoning for complex governance.

A hard choice in decision making occurs when candidate options have high impact but low comparability, making them difficult to evaluate against each other. Classification signals when to allocate more resources for thorough strategy analysis.

Assessing decision impact and comparability requires providing candidate options, comparability signals between those options, and impact estimates. These inputs determine the classification type and guide the selection of appropriate solution strategies.

Use decision classification when facing strategic choices involving multiple complex options that require governance. It helps determine whether a decision is a No-brainer or Big choice, guiding teams to apply the appropriate level of analysis.

Options that are hard to compare are classified as Apples & Oranges decisions. The classification analyzes comparability signals and impact estimates to determine if options lack direct comparability and require alternative problem-solving strategies.

Classifying decision difficulty relies on the accuracy of provided impact estimates and comparability signals. It supports meta-reasoning and strategy selection but does not make the decision itself, only categorizes the difficulty level.