Design the list-building experiment
Packaged know-how that tells an agent how to do a job well.
You might say…
“I want to test whether a different opt-in hook grows my list faster but I've never run an experiment that was actually well-defined enough to learn from.”
What it does
Specifies one bounded conversion test — the variant, hypothesis, success metric, and stop rule — so the experiment is runnable and yields a clear decision.
Trigger: Use at the front of a single growth experiment to define what is being tested and how the result will be judged before anything is built.
I/O: Growth bottleneck + available variants → experiment spec (variant, hypothesis, metric, stop rule)
Recognise the problem?
The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.
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