Leadership is leading, Sales is selling, and Product is shipping. But the numbers aren’t moving the way the plan says they should.
Most growth plans are built on the same assumptions that generated early revenue. None of it has been pressure-tested at the price point, the volume, or the speed the plan assumes. Untested assumptions don’t stay hidden. They show up in the numbers.
York Effect assessed 75+ founders and growth leaders, from pre-revenue to $5M ARR, across two dimensions: Offer Clarity and Audience Validation.
Most companies were operating 30% below what was required to reach their revenue goals. Confidence was high. Proof was not.
For when the problem lives in the business.

The danger isn’t using AI; it’s in putting blind trust in its outputs. Every algorithm is built on data, and every dataset reflects human bias, context, and error. When we remove human oversight, we risk embedding those biases deeper, making them invisible behind a veneer of “objectivity.”

When founders see competitors sprinting ahead, they may assume slamming the accelerator is always the answer. But more than often, the real winners are those who take the time to pause and question their own assumptions.
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