Experiment operations
How experiments get from a backlog to a result, what limits how many a team can run, and which metrics guard the ones that ship.
What this category answers
The questions a head of growth with a backlog and no engineering time asks: why so few of the experiments a team wants to run ever run, what throughput means and what bounds it, how a result feeds the next decision, and what a guardrail metric is and which ones belong on every test. Written for the person who owns the programme rather than the arithmetic, with the practices named plainly and the trade-offs stated.
Experiment operations guides
- Experiment operationsExperiment backlogs versus continuous experimentationA backlog ranks experiment ideas before they run. Continuous experimentation makes running one cheap. Published success rates say ranking is the weaker lever, and which one a team needs depends on what its tests cost.
- Experiment operationsExperiment throughput, and why growth teams get stuckExperiment throughput is the number of well-run experiments a team finishes in a period. Most ideas lose and most teams are bounded by engineering time, so throughput is what a programme returns.
- Experiment operationsWhat is a guardrail metric?A guardrail metric is a measure an experiment must not make worse, watched beside the metric it tries to move. It catches what a win would hide, and a trust guardrail says whether the test can be believed.
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Twenty five minutes, about how you run experiments today. No access, no commitment.