Use the result in a budget review, a board discussion or a limited rollout.
Bring the change you want to test.
Tell us the company, the proposed change and when it could take effect. We agree on the financial measure and a fixed pilot scope and fee before work starts.
Public sources establish the starting context. Optional company totals help measure the money at risk. We ask for the next missing figure only when it affects the calculation.
Compare the financial outcomesCurrent terms and the proposed change, under stated response assumptions.
See where the gain disappearsA break-even threshold and the figures that have the largest effect.
Review the evidenceDated sources, calculations and open questions in one brief.
Agree on a test before rolloutA financial limit, an observation period and results to compare.
Measured against a simple baseline.
We test financial forecasts on historical quarters with dated inputs and fixed calculation rules.
34.5%lower average scaled revenue error
Against a simple trend across 24 quarters at Okta, PagerDuty and GitLab. The method also reduced error by 36.5% against company guidance.
18.6%lower average scaled revenue error
Against trend across 23 scored quarters at Box, Domo and Yext during 2020–2022. One selected quarter lacked the required reported figures.
These historical results measure total quarterly revenue forecasts. The effect of a specific pricing, contract or product decision needs its own pilot. Results varied by company. Shortfall detection remains untested because the eligible quarters contained no guidance-floor misses.
Start with the company, proposed decision and timing. We can then identify the figures that matter. For pricing, this is often eligible revenue and realized price. For investment, it is cost, margin and a paid-demand assumption. You can keep customer identities private.
How do you use AI?+
AI helps gather public evidence and identify questions to check. Mathematical rules calculate the financial scenarios. Each result states the available facts and the assumptions that drive it.
What can public data tell us?+
Published prices, financial reports and contract terms can establish a starting point. Your affected revenue, discounts and customer response can require internal totals or a pilot. We identify those gaps in the brief.
How is a pilot priced?+
We agree on a fixed fee after reviewing the decision, data and scope. The first discussion establishes whether the question can be measured and what a useful result would contain.
What are you about to change?
Tell us in one or two sentences. We will reply by email to discuss the question, data and pilot scope.