hypothesis▌

Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and environmental data into testable hunting hypotheses.

Structured hypothesis formulation from observations, following the scientific method framework.

Automated LLM-driven hypothesis generation and testing on tabular datasets.

Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains.

Structure epics as testable hypotheses with explicit assumptions, lightweight experiments, and measurable success criteria. \n \n Uses an if/then format to articulate the action, target persona, expected outcome, and validation method, making product assumptions explicit before committing to full build-out \n Emphasizes \"tiny acts of discovery\" experiments (prototypes, concierge tests, landing pages) that validate hypotheses in days or weeks, not months \n Defines falsifiable success criteria

Hypothesis testing provides a framework for making data-driven decisions by testing whether observed differences are statistically significant or due to chance.