How close a result comes to the truth. Precision is how consistently you can reach that result. You need both for meaningful progress.

There is an old saying in archery, "it is one thing to hit the target and another to hit the same spot every time." That is the difference between accuracy and precision. In Decidr, both matter because they determine how intelligence delivers value.

Accuracy is about alignment. It measures how close your decisions come to the outcomes you actually want. Precision is about reliability, the ability to reproduce those results under changing conditions. You need both to build trust in your system.

In a human organisation, accuracy might mean choosing the right strategy while precision means executing it predictably. In an AI org, the same logic applies. Accuracy defines whether an agent is solving the right problem. Precision defines whether it can repeat that success across contexts.

Decidr models both dimensions across flows and goals. When a sales agent hits targets for one region but not another, that is a precision gap. When marketing campaigns perform well but attract the wrong customers, that is an accuracy gap. Together, these signals reveal whether your organisation is learning or drifting.

Decidr treats improvement as a dialogue between accuracy and precision. Agents learn from each other, sharing adjustments until the system calibrates itself. This feedback loop is what transforms performance from reactive to proactive. When accuracy and precision converge, trust follows. Decisions stop feeling like bets and start feeling like confident, calculated moves.