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Outreach A/B Test Plan

Json output

Test messages without fooling yourself.

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Design an outreach experiment. Channel and current performance: [CHANNEL_AND_BASELINE]. Audience size available: [AUDIENCE_SIZE]. Variables I want to test (subject, opening line, call to action, length, offer): [VARIABLES]. Constraints (compliance, tools): [CONSTRAINTS].

Return valid JSON only with keys: "goal", "primary_metric" (for example positive reply rate), "secondary_metrics", "hypotheses" (array of objects: "id", "statement", "variable", "expected_direction", "reason"), "design" (object: "variants", "split_method" such as random assignment, "sample_size_per_variant" with a note that it is approximate, "duration_days", "send_times_controlled": true or false, "audience_overlap_control"), "guardrails" (array: stop if complaint rate rises, honest messaging only, opt-out honored), "analysis_plan" (how to compare, minimum difference worth acting on, caution about multiple tests), "decision_rules" (array), "risks" (array), and "learning_log_fields" (array).

After the JSON, in plain text: explain in simple terms why small samples can mislead (give an example with numbers), how many replies are needed before drawing conclusions (state it as a rough rule of thumb), why to test one variable at a time, and how to record learnings. Do not promise outcomes, and keep tests ethical (no deceptive variants).

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