Choose
Select experiments by likely learning value, pipeline potential, effort, and risk.
Experimentation
Run fewer experiments, learn more from each one.
We turn scattered marketing activity into tests with hypotheses, owners, commercial metrics, and decisions the team can act on.
Measure
Use clear leading and lagging metrics so tests do not become activity reports.
Decide
Scale, stop, refine, or transfer the work based on evidence.
FAQ
Experiment discipline.
How is this different from random A/B tests?
Experiments sit under a constraint map. The job is to learn what moves qualified pipeline, not to ship volume for its own sake.
Do I need a sprint or diagnosis first?
If the bottleneck is unclear, Growth Diagnosis or the scorecard comes first. If the constraint is visible, a 90-day sprint or acquisition build may be the right container.
What does a good experiment brief include?
Hypothesis, primary metric, guardrails, owner, timeline, and the decision rule before you start — scale, stop, refine, or transfer.
Experiments without a constraint map
Name the bottleneck before you scale tests.
In 20 minutes, we can usually tell whether the learning problem is positioning, acquisition, conversion, reporting, or ownership — so experiments compound instead of stacking.