Hypothesis Testing

Understands the structure of a product hypothesis (if we do X, then Y will happen, because Z). Can formulate testable hypotheses. Distinguishes between strong and weak hypotheses.

Understands hypothesis formulation and validation principles in a product context. Can create a hypothesis in 'if-then-because' format considering technical capabilities. Knows basic validation methods.

Designs experiments for hypothesis validation. Selects the appropriate method: A/B test, fake door test, Wizard of Oz, landing page test. Analyzes results and makes decisions.

Independently designs and conducts hypothesis-driven experiments. Defines success criteria with technical metrics (latency, error rate). Analyzes results considering confounding factors and technical artifacts.

Builds a continuous experimentation process. Prioritizes hypotheses by expected impact and cost of validation. Establishes an experiment backlog and tracking system.

Builds culture of hypothesis-driven development in the team. Designs experiments with controlled technical variables. Defines experiment taxonomy: discovery, optimization, validation. Links results with roadmap.

Defines experimentation culture for the division. Standardizes validation and decision-making processes. Trains PMs and designers on rapid experimentation methods.

Defines hypothesis testing framework for the division. Introduces structured experimentation with technical guardrails. Trains TPMs on scientific approach to product decisions considering engineering trade-offs.

Shapes a culture of evidence-based decision making at the company level. Defines standards for strategic experiments. Applies a hypothesis-driven approach to corporate strategy.

Shapes enterprise approach to evidence-based product management. Defines organizational learning loops from experiments. Integrates hypothesis testing into strategic planning and resource allocation.