Enterprise AI

Scenario Planning (What-If Analysis)

Scenario planning, also called what-if analysis, is the practice of testing how plans and results change under different assumptions, from one altered input in a model to several complete versions of the future.

What is scenario planning?

Scenario planning, also called what-if analysis, is the practice of testing how results would change under different assumptions. At the simple end, a planner changes one input in a model, such as a price, a wage rate, or a volume. The planner then sees the effect on profit, cash, or capacity. At the strategic end, a leadership team describes a few coherent futures, such as a recession, the loss of a major customer, or a new regulation. It then decides what the business would do in each.

Scenario planning differs from Monte Carlo simulation, which samples thousands of random combinations to estimate probabilities. Scenarios are few, chosen deliberately, and meant for discussion. Forecasting models, simulation, and natural language query tools make it practical to recalculate a plan for each scenario in minutes.

Scenario planning in practice

A collections agency models the coming year under three scenarios. In the first, a large client moves part of its portfolio to another agency. In the second, a new rule caps call attempts per account each week. In the third, unemployment rises and payment rates fall. For each one, the model recalculates expected recoveries, the number of collectors needed, and margins. The agency agrees in advance on the warning signs for each scenario and the response it would make. For example, it would shift effort from calls to text and email outreach if the call cap takes effect.

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