Practical calculators to estimate opportunity size, ROI, and experiment sample sizes for smarter discovery and faster learning.
Practical, judgment-friendly calculators and guidance to estimate opportunity size, compare ROI, account for cost of delay, and pick experiment sample sizes. Includes clear assumptions, worked examples, sensitivity checks, and quick templates teams can apply today to prioritize tests and design efficient pilots.
Practical, defensible templates and worked examples to estimate opportunity size, calculate simple ROI and payback, and determine sample sizes for common discovery experiments. Includes clear formulas, recommended assumptions, sensitivity checks, and a simple spreadsheet recipe you can copy and adapt.
An interactive, saveable calculator that helps teams estimate potential ROI for experiments and determine minimum sample sizes for A/B tests. Includes guided inputs for conversion and continuous metrics, sensible defaults, and clear interpretation guidance so teams can prioritize tests and plan efficient pilots.