Counterfactual analysis involves exploring hypothetical scenarios by considering 'what if' questions, allowing researchers to understand causal relationships by comparing actual events to alternative possibilities. It is widely used in fields like economics, social sciences, and machine learning to evaluate the effects of interventions and decisions by examining outcomes that did not actually occur.