Start here: five questions
What, why, when, how and who, before any decision.
/decisions/start-here/Expected value, value of information, thresholds and calibration without the maths anxiety.
LiveA plain explanation of expected value with a worked example from the service desk, and the two places it misleads.
ReadDecisions · Decision theory at workThe value of information, explained with a work example. More data is only worth buying if it could change what you do.
ReadDecisions · Decision theory at workHow to pick the confidence score at which a model acts on its own, asks a person, or stops, using the cost of each kind of mistake.
ReadDecisions · Decision theory at workHow to check whether a person's or a model's confidence matches reality, with a simple method any team can run.
ReadWhat, why, when, how and who, before any decision.
/decisions/start-here/Budgets, bids, negotiations and other choices where people react to each other.
/decisions/game-theory/Anchoring, loss aversion, outcome bias and how to spot them in meetings.
/decisions/bias/Small models that score fixed options: Microsoft-Decision-1, Jev and Copilot Studio patterns.
/decisions/decision-models/Write down the options, the information and your confidence at the moment you decide.
/decisions/decision-records/Every method on the site, free to reuse, with a worked example.
/decisions/method-library/