Observed arrival · 2026-09-11
Causeway and the Case Against Naive Rollout Math
Causeway designs controlled tests to measure whether operational changes at multi-location businesses actually caused a result.
Field notes
Causeway frames rollout measurement as a counterfactual problem: compare locations receiving a change with an estimate of what those locations would have produced without it. Its example separates a reported +24.7% sales lift from an initiative result of −2.7%, while the site says two-thirds of unchanged months could still look positive under a straight read. The team describes work across 20–300-site operators and cites synthetic difference-in-differences as part of its analytical background.
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