We recently wrote about why it's important to account for uncertainty when building models and forecasts. (Causal is a good way to do it!)

You're sold, but you've invested a lot of time into your spreadsheet models, and you don't want to move them into a new tool yet. That's okay — you can now account for uncertainty without leaving your spreadsheet, with the Causal Scenarios add-on for Google Sheets.

How it works

Causal Scenarios lets you define ranges for your model's assumptions, and the add-on runs hundreds of simulations to show you the range of possible scenarios.

Your model will have various uncertain assumptions. For each, select its cell and enter the plausible range of values that the assumption could take on.

Select a cell or range of cells for the main outputs of your model.

Step 3: Run the simulation

Causal uses your input ranges to run simulations, determining the range of possible values for your outputs.

And of course, if you find the add-on useful, then you may find Causal useful too. Let us know what you think: hi@causal.app.

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Apr 21, 2020
By
Taimur Abdaal

We recently wrote about why it's important to account for uncertainty when building models and forecasts. (Causal is a good way to do it!)

You're sold, but you've invested a lot of time into your spreadsheet models, and you don't want to move them into a new tool yet. That's okay — you can now account for uncertainty without leaving your spreadsheet, with the Causal Scenarios add-on for Google Sheets.

How it works

Causal Scenarios lets you define ranges for your model's assumptions, and the add-on runs hundreds of simulations to show you the range of possible scenarios.

Your model will have various uncertain assumptions. For each, select its cell and enter the plausible range of values that the assumption could take on.