Why your A/B tests keep losing

Industry-wide, most A/B tests lose or show nothing. That's not a testing problem, it's a hypothesis problem. Tests built on internal opinions test the company's assumptions, not the customer's friction.

A research-first program triangulates analytics (where people drop), session behavior (what they do before dropping) and voice-of-customer (why they say they hesitate). Hypotheses built at that intersection win two to three times more often.

We share the exact research stack and prioritization model we use across client programs, including how to size expected impact before committing development time.