National Committee for Quality Management
Evidence & Decisions
Start with the decision
Define the question, available choices and consequences before collecting information. Evidence is relevant when it helps distinguish those choices.
Sources
Identify where information came from, how it was produced and whether its provenance can be checked. Keep primary findings distinct from later interpretation.
Data quality
Consider completeness, accuracy, consistency and selection effects. A precise number may still describe the wrong population or condition.
Uncertainty and assumptions
Make assumptions visible. Explain which conclusions are supported, which remain uncertain and what additional information could change the decision.
Review
Technical challenge helps test reasoning. Record material disagreements and explain how they were resolved or why they remain.
Communication
State the decision, grounds, scope and limitations together. Avoid expressing a conditional conclusion as a universal fact.