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This MCC note is a practical guide to building robust ROI models, helping decision-makers test project economics under uncertainty and communicate investment cases with confidence. Explore the structure, assumptions, and stress tests that make financial models genuinely decision-useful.
The paper lays out a comprehensive approach to forecasting ROI, from defining inputs and cashflow logic through to scenario and sensitivity analysis. It highlights key modelling choices (capex/opex profiles, discount rates, revenue drivers) and the importance of transparently linking assumptions to operational realities. The note also discusses how to interpret results using consistent metrics and how to design models that support governance-enabling faster iteration, clearer risk discussion, and better investment prioritisation.
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