What have you actually proven?

What Have You Actually Proven?

Revenue, users and funding are outcomes, but each can support several explanations. Revenue may come from discounts or founder-led selling; users may not retain; funding proves investor belief, not customer economics. Evidence becomes useful when it identifies which part of the business model works and under what conditions it can be repeated.

Separate the proof ladder. Attention shows discoverability; activation shows an initial job can be completed; payment shows commitment at a price; retention shows continuing value; contribution shows the service can create cash; repeatable acquisition and delivery show a path to scale. Passing one level does not imply the next.

Cohorts reveal whether apparent progress survives time and changing conditions. Compare acquisition source, price, customer type, product version and service intensity. Remove founder interventions and one-off partners from the base case or price the capability required to replace them. Averages can improve while newer cohorts deteriorate, particularly as the easiest customers are exhausted.

Scale itself is another hypothesis. OECD analysis published in 2025 found that 54%�73% of scaling firms maintained their new size or kept growing over the following three years, while roughly one in five scaled in two consecutive three-year periods. Growth can persist, but achieving it once is not proof that demand, organisation and economics will compound.

Maintain a proof register: claim, test population, observation, alternative explanation, confidence and boundary of use. State precisely what remains unproven and the next decision it affects. Credibility increases when evidence is described narrowly. �Customers paid under these conditions� is more valuable than �the model is validated� because it shows exactly where scaling risk still lives.