Guardrailr

Guardrailr is a web app (with a lightweight browser extension) that sits on top of your existing A/B testing stack and blocks bad decisions. It ingests experiment results from tools like Optimizely, VWO, LaunchDarkly, and custom pipelines, then automatically checks for common failure modes: peeking, underpowered tests, metric cherry-picking, novelty effects, and conflicting segment results. It forces teams to define primary metrics, guardrails, and minimum detectable effect before launch, and it won’t “approve” a rollout until statistical and practical significance thresholds are met. It also generates an audit trail for stakeholders: what was tested, assumptions, sample size plan, and why the decision is valid. This is not a new experimentation platform; it’s a decision-quality layer that reduces false wins and expensive rollouts that quietly hurt revenue.