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Pre-Register Payroll Onboarding Test

MediumA/B Testing & Experimentation00:00
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Problem

Scenario

You work on an HR software product and your team has redesigned the employee payroll onboarding flow to reduce setup friction for admins. The team believes the new flow will increase completed payroll setups by making required steps clearer, but PMs are already asking to check results every day because payroll launches are high visibility. You need to design an experiment that can answer whether the redesign should ship without inflating false positives from repeated looks at the data.

Constraints

  • Eligible traffic: 18,000 company admins start payroll setup per week
  • Maximum experiment duration: 3 weeks
  • 50/50 allocation unless you justify otherwise
  • Support-contact rate must not increase by more than 0.3 percentage points
  • Payroll setup error rate must not increase by more than 0.2 percentage points

Question

How would you design and analyze this experiment so that interim result checks do not invalidate the conclusion, and how would you decide whether to ship if stakeholders want updates before the test is complete?