Turn AI creative ideas into tests you can trust. Use Claude and Google Sheets to plan, size, and review tests for ads, emails, and web pages, linking results to business goals. Throughout the course, you’ll explore: Measurement Plans: Build KPI trees, choose a primary metric, and set guardrails to protect customers and your brand. A/B Test Design: Write clear hypotheses, keep one change per test, and define control groups, audiences, and success rules. Power and Data Quality: Set a minimum effect, estimate sample size and test time, and check traffic splits and audience overlap.
Results Analysis: Assess lift, confidence intervals, and p-values without mistaking noise for a win. Scaled Testing: Compare A/B/n, factorial, and bandit designs to test many AI variants with clear risk limits. Repeatable Decisions: Score a backlog with ICE and create a playbook for ship, iterate, or stop decisions. By the end of the course, you’ll have reusable plans and readouts to support rollout reviews and explain results to stakeholders.
