Modelling

What Is What-If Analysis?

What-if analysis is a financial modelling technique that explores the impact of changing one or more assumptions in a model to answer specific business questions. It enables FP&A teams to test hypothetical situations — "what if we raised prices 10%?" or "what if we delayed hiring by a quarter?" — before committing to decisions.

In Depth

What-if analysis is the most intuitive form of financial modelling because it mirrors how business leaders naturally think: "What would happen if...?" By codifying this question into a financial model, FP&A teams provide quantified answers that support better decision-making.

What-if analysis overlaps with both scenario analysis and sensitivity analysis but is distinct. Scenario analysis models coherent alternative futures. Sensitivity analysis systematically tests the impact of individual variables. What-if analysis answers specific, often ad hoc, business questions that arise from operational reality.

Common what-if questions in FP&A include: What if we hire 5 more sales reps? What if we lose our largest customer? What if raw material costs increase 15%? What if we enter a new market? What if we acquire this competitor? Each question requires adjusting the financial model and assessing the full financial impact.

Effective what-if analysis requires a well-structured model where inputs are clearly separated from calculations and outputs. Driver-based models excel at what-if analysis because changing a driver (headcount, pricing, volume) automatically cascades through the entire financial model.

Modern FP&A platforms enable real-time what-if analysis, allowing users to adjust assumptions and immediately see the impact across the P&L, balance sheet, and cash flow. This interactivity transforms budget review meetings from static presentations into dynamic planning sessions.

For UK businesses, common what-if analyses include: the impact of National Insurance rate changes on total compensation costs, the effect of sterling depreciation on imported goods costs, and the consequences of interest rate changes on debt servicing.

Real-World Example

A UK SaaS company's board asks: "What if we doubled marketing spend?" The FP&A team models this in real time: £500K additional marketing spend generates 40% more leads (based on historical elasticity), converting to 25 additional customers at £800 MRR each. Revenue impact: £240K additional ARR by year-end. Cash impact: -£260K net in year one, turning positive by month 15. The board approves a 50% increase as a compromise.

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FAQ

Frequently Asked Questions