Bayesian probability
Probability-to-win view for decision confidence without hiding assumptions.
Testvoy is built to make experiment interpretation transparent enough for CRO teams, clients, product leaders and engineers.
Probability-to-win view for decision confidence without hiding assumptions.
Classic conversion-rate comparison and intervals for teams that need a familiar readout.
Traffic split quality checks before teams trust a result.
Step-by-step progression and drop-off analysis across variants.
Revenue per visitor, AOV and lift when revenue goals exist.
Bot filtering, QA readiness and audit history around launch and interpretation.
Define the primary goal, guardrail metrics, traffic allocation and QA checklist before assigning visitors.
Watch SRM, bot filtering, event health and funnel shape before reading lift as a decision signal.
Compare Bayesian, frequentist, revenue and segment views, then document why the winner is safe to roll out.
Keep the report link, audit trail and flag history available for stakeholder review.