Experiment velocity
📖 3 min readUpdated 2026-04-19
Experiment velocity is the rate of running tests. High velocity compounds learning over time. Low velocity means slow progress.
Typical velocity
- Early stage: 1-2 tests per week
- Mature growth team: 5-10+ per week
- Top teams: 20+ per week
Building velocity
- Templates for common test types
- Experimentation infrastructure (Optimizely, Split, LaunchDarkly)
- Backlog of hypotheses
- Regular planning cadence
Quality vs quantity
Bad tests at high velocity is wasted effort. Good hypotheses + discipline beat noise.
What to do with this
- Aim for 3-5 tests per week, not one heroic test per quarter, compound of small wins beats rare big ones
- Treat every test as a learning, not just a pass/fail, even inconclusive tests narrow the next hypothesis
- Reduce cycle time, automation (feature flags, test tooling) removes friction between "idea" and "live test"
- Quality + velocity are both required, 200 random tests produce noise, 20 disciplined tests per quarter beat both
- Track velocity as a leading indicator, teams shipping 1 test per week usually outperform teams shipping 1 per month by 3-5x annually