The Role of AI in SaaS A/B Testing
AI transforms A/B testing from slow, siloed experiments into a governed decision system that plans, runs, and learns continuously. Modern stacks use Bayesian/sequential designs, variance reduction, heterogeneous‑treatment insights, and uplift‑based targeting to reach valid decisions faster, then operationalize winners as “next‑best actions” with guardrails. Treat experiments like production: define SLOs for decision time and error … Read more