Clear problem framing (turning a vague issue into a measurable goal and a testable plan)
Stakeholder management (aligning teams with different priorities)
Strong writing and communication (simple, persuasive messaging and reporting)
Basic statistics and experiment literacy (reading results, understanding confidence, avoiding common pitfalls)
User research fundamentals (interviews, surveys, usability testing)
Behavioral science foundations (biases, motivation, habits, decision context)
Program design methods (service design, journey mapping, operational feasibility)
Experiment design and measurement (A/B tests, pilots, defining success metrics)
Data analysis in common tools (Excel/Sheets; often SQL; sometimes Python/R)
Ethics, equity, and accessibility in interventions (avoiding manipulation; ensuring fairness)