Methodology

Clear statistics for decisions you can explain.

Testvoy is built to make experiment interpretation transparent enough for CRO teams, clients, product leaders and engineers.

Bayesian probability

Probability-to-win view for decision confidence without hiding assumptions.

Frequentist validation

Classic conversion-rate comparison and intervals for teams that need a familiar readout.

SRM detection

Traffic split quality checks before teams trust a result.

Funnel progression

Step-by-step progression and drop-off analysis across variants.

Revenue attribution

Revenue per visitor, AOV and lift when revenue goals exist.

Guardrails

Bot filtering, QA readiness and audit history around launch and interpretation.

01

Before launch

Define the primary goal, guardrail metrics, traffic allocation and QA checklist before assigning visitors.

02

During test

Watch SRM, bot filtering, event health and funnel shape before reading lift as a decision signal.

03

At decision time

Compare Bayesian, frequentist, revenue and segment views, then document why the winner is safe to roll out.

04

After rollout

Keep the report link, audit trail and flag history available for stakeholder review.