Change one cell. Watch the whole plan move.

Three tools for the model you have already built: name your scenarios and switch between them, backsolve for the input that hits a number, or sweep a whole grid of inputs and read the results as a table.

Method guide for Google Sheets Three what-if tools free, up to 32 changing cells a scenario

What-if analysis in Google Sheets, three tools

Scenarios saves a set of input cells under a name. Base, Bear, Bull, or the three versions of the plan the room keeps arguing about. Switch between them in a click and write a summary report that puts them side by side.

Goal Seek runs the model backwards. You know the answer you need and you want the input that gets you there: the price that breaks even, the grade that saves the semester, the day rate that pays for the year. If it cannot reach the target it tells you how close it got, rather than quietly returning something wrong.

Data Table sweeps. A one-variable table walks one input across a list of values and records every result you asked it to watch; a two-variable table crosses two inputs and gives you the grid, which is what the room actually wants to look at when growth and margin are both up for debate.

Which one answers your question

All three are in the What-If panel, all three are free, and all three work on the model already in your sheet. Nothing is exported and nothing is rebuilt.

Compare named versions

  • Scenarios save input sets under a name, switch between them, and print the summary.

Work backwards from an answer

  • Goal Seek find the input that makes a formula hit the number you need.

Sweep a range and read the grid

  • Data Table (one-variable) one input across many values, tracking several results.
  • Data Table (two-variable) two inputs crossed, one result, drawn as the grid.

When the input is a range rather than a list

  • Monte Carlo risk simulation every value at once, weighted by how likely it is, with odds on the answer. A Pro engine, on the Monte Carlo page.

Scenario planning without a second copy of the model

Scenario planning usually means three saved copies of the same file, and by Thursday nobody is sure which one the board saw. Scenarios keeps the base, the bear and the bull case as named sets of input cells in one spreadsheet, so switching case is a click and the model underneath every case is the same model.

The summary report puts the cases in columns next to each other, so the meeting argues about the assumptions rather than about which file is current. When somebody then asks how likely the bear case actually is, that is the question a Monte Carlo run answers.

A sweep is not the same as a simulation

A Data Table answers “what happens at each of these values”. A simulation answers “how likely is each of them, and what does that make the answer”. The table is the right tool when you have a shortlist and the room wants to see the grid; the simulation is the right tool when the input is genuinely uncertain and nobody can name the value.

They live one panel apart, and a model built for one runs in the other. Start with the sweep, and when somebody asks “but how likely is the bad column?”, the Monte Carlo guide is the next page.

Free or Pro

Scenarios, Goal Seek and Data Tables are free, and no plan buys a bigger one. There is no cap on the number of scenarios you keep, on how many result cells you read back, or on how often you run. The engines carry two ceilings of their own: one scenario holds at most 32 changing cells, and one axis of a data table takes at most 1,000 values.

Pro covers the five simulation engines and the AI readings. Pro is $199/year, and a $9 Day Pass covers the week of a single decision.

Worked examples to start from

Each one loads with the sweep or the target already set up, so the first thing you see is the answer and the second is how it was built.

The other 45 models in the library that use one of these:

Try it in your own sheet

  1. Open Sortia in Google Sheets and choose Start from a template.
  2. Pick one of the models above, and it loads with the inputs filled in.
  3. Change the assumptions to fit your situation and press Run.

Never used Google Sheets? Start here goes the whole way, in seven steps, and assumes nothing.

Other methods: Monte Carlo  Decision trees  Schedule risk  Critical chain  Optimization under uncertainty  Statistics  Machine learning  Forecasting  Optimization