B2B Experimentation Framework

Most experimentation content assumes high-traffic consumer products. This framework is explicitly designed for B2B constraints: limited MAUs, account-level assignment, long run times, and multi-stakeholder coordination. Built from a proven B2B SaaS experimentation methodology, this template covers the full experiment lifecycle: hypothesis intake, statistical design, timing coordination, result recording, and institutional learning. It solves the three most common B2B failures — running underpowered tests, contaminating results with user-level assignment in account-based products, and losing learnings when experiments end. Includes an Experiment Log with account-level vs user-level assignment enum, power calculation gate in the primary task, an Experiment Pipeline Kanban, timing Calendar to prevent cohort conflicts, and a Hypothesis Backlog sheet for ideas not yet designed. For growth PMs and senior PMs at Series B–D B2B SaaS companies who need to run rigorous experiments without consumer-scale traffic.