Finance

Sensitivity Analysis

Sensitivity analysis shows how outputs change when key inputs vary within a reasonable range. In valuation, it's used to test how fragile a DCF is to discount rate and terminal assumptions.

Updated 2026-01-23

Definition

Sensitivity analysis shows how outputs change when key inputs vary within a reasonable range. In valuation, it's used to test how fragile a DCF is to discount rate and terminal assumptions.

How to use it

  • Use sensitivity grids to avoid false precision from single-point estimates.
  • Pick ranges that reflect uncertainty (not just tiny deltas).

Common mistakes

  • Picking ranges that are too narrow and concluding the result is certain.
  • Changing many inputs at once without tracking what drove the change.

Why this matters

This term matters because cash timing and risk are usually the difference between a plan that works on paper and a plan that survives. Use consistent definitions so decisions are comparable over time.

Practical checklist

  • Write a 1-line definition for "Sensitivity Analysis" that your team will use consistently.
  • Keep the time window consistent (weekly/monthly/quarterly) when comparing trends.
  • Segment results (channel/plan/cohort) before drawing big conclusions from blended averages.
  • Use a calculator that references this term (e.g., DCF Sensitivity Calculator) to sanity-check assumptions.
  • Read the related guide (e.g., DCF sensitivity: discount rate vs terminal growth (how to read it)) for context and common pitfalls.

Where to use this on MetricKit

Calculators

Guides