Inputs
For each hypothesis: expected impact, uncertainty, test cost, speed, reversibility and current evidence strength.
Turn loose assumptions into a working portfolio and focus the next cycle on tests that can actually change a decision.
Check the units, periods and definitions before running the calculation. Weak input data produces weak conclusions.
The interface is only the front layer. The real value is the ability to inspect the inputs, understand how the output is calculated, recognise what the model cannot know and translate the result into a management action.
For each hypothesis: expected impact, uncertainty, test cost, speed, reversibility and current evidence strength.
The model creates a relative research-priority index based on business effect, uncertainty, evidence gap and test efficiency. It then builds a short next-cycle plan.
The index is comparative, not a probability of success or financial value. A high score still does not justify a test if the result cannot change the decision.
A prioritised hypothesis portfolio with an explicit statement of the proof required and a rule for what should happen after the test.
A result is complete not when a chart appears, but when it becomes clear which decision follows, which assumptions remain disputed and what next evidence could change the conclusion.
Tell us about the product, objective and current situation. We will return with the right questions and a clear next step.