Build a Documented Growth Experiment Library

1. 1

   Design the template that makes entries comparable

   Hypothesis, audience and channel, setup details, sample size and duration, primary metric with actual numbers, verdict, and what the operator would change; the template's rigor is the product's credibility, and it filters lazy submissions automatically.

2. 2

   Seed fifty entries before charging anyone

   Your own documented experiments plus recruited contributions from operator friends (offered founding-member status) build the corpus that makes the first paid subscription defensible; an empty library sells nothing.

3. 3

   Run contribute-or-pay access

   Operators who submit a qualifying experiment quarterly get free access; everyone else pays a monthly subscription in the tens of dollars. The flywheel keeps the corpus growing while revenue comes from the larger read-only audience.

4. 4

   Verify and anonymize like an editor

   Plausibility review of the numbers, follow-up questions on anomalies, and anonymization of company-identifying details protect both quality and contributors; publishing standards, stated openly, are what separate this from a forum.

5. 5

   Make search the interface

   Filters by channel, industry, stage, and verdict answer the real question ('has anyone tried referral bonuses for B2B trials?') in seconds; a monthly digest of notable new entries keeps the subscription felt.

6. 6

   Publish honest meta-analyses

   Aggregate reads ('most onboarding-email experiments in the library failed to move activation') are the marketing content only this asset can produce, and each one recruits both readers and contributors.

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