Project Background

At ShopNow, an e-commerce marketplace, the Growth team ran a 3-week A/B test on a redesigned checkout page intended to improve purchase conversion before the holiday season. You are the program manager coordinating Product, Data Science, Engineering, and Finance to prepare a leadership readout and launch recommendation. The CEO has asked for a one-slide summary for the weekly executive business review in 5 business days.

Key Stakeholders

The VP of Product wants a fast rollout if the test shows any positive movement in conversion. The CFO cares most about revenue impact and wants confidence that any lift is real, not noise. The Engineering Director is concerned about rollout risk because the new checkout flow added latency and there is only one release window before the holiday code freeze.

Constraints

The experiment included 4.2 million sessions split 50/50. Variant B increased checkout conversion from 6.8% to 7.1%, but page load time worsened by 180 ms and customer support contacts rose 4% among first-time buyers. You have 1 data scientist, 1 analyst, 6 engineers, and no additional budget. If leadership approves, rollout must begin within 10 days and cannot exceed a 20% traffic ramp per day. A legal review is required if the team changes payment disclosure language.

Complications

1. The CEO prefers simple, decisive recommendations and dislikes statistical jargon.
2. Finance and Product disagree on whether to prioritize short-term conversion lift or potential long-term trust risk from increased support contacts.
3. A sample ratio mismatch alert briefly fired on day 2, though the analytics team believes it was caused by a logging delay.

Your Task

1. Create a one-slide leadership summary structure that explains the A/B test result and recommendation.
2. Propose the rollout decision, including ramp plan, guardrails, and rollback criteria.
3. Identify what caveats must be communicated without overloading executives.
4. Outline how you would align Product, Finance, and Engineering on the final recommendation.