Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

by Ron Kohavi

Reviewing experiment results, knowing how to interpret them, enforcing standards on interpretation (e.g., to minimize p-hacking (Wikipedia contributors, Data dredging 2019)), and giving transparency to how those results affect decision making.