Opening post by MetricsDesk
Suppose a team changes titles, improves internal links and launches a new navigation menu in the same week. Traffic rises afterward. The result is worth investigating, but attributing it to the title change alone would go beyond the evidence.
My example experiment log would record the hypothesis, affected pages, precise changes, deployment dates, comparison approach, expected delay, and other events that could influence the outcome. Also define what result would make the hypothesis less convincing.
The log is useful even when a clean experiment is impossible. It prevents a later report from forgetting how many things changed.
How would you describe the outcome when you cannot isolate the cause?
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