Experimentation & A/B Testingv1.0.1

A/B testing and experimentation for social media content — evidence over opinion, at honest organic-scale rigor. Use when someone wants to "A/B test" or "split test" content, "test which version/hook/time/caption/thumbnail works," "set up an experiment," "what should I test," or to settle a content debate with evidence instead of opinion. Designs disciplined organic tests: one variable, controlled context, a decision rule set BEFORE publishing, enough duration and repetitions to separate signal from noise. Uses the TEST framework. Reads brand-profile + goals-and-kpis first. It DESIGNS the test and drafts variants; WoopSocial schedules them as controlled sequential posts (exception: YouTube's native Test & Compare); the result is read from native analytics via analytics-and-reporting. Organic can't reach true statistical significance; nothing is fabricated or p-hacked. Distinct from analytics-and-reporting (measures) and goals-and-kpis (sets targets).