Matterhorn Studio allows its users to find the optimal parameters, and fine-tune their experiments using Bayesian Optimization, all within their Google Sheet™. By setting the inputs, outputs and bounds of your experiment, and generating new recommendations you can efficiently maximize or minimize your target variables.
Features:
Data sheet selection - select which sheet to read data from
Visualization - visualize your parameters
Select the number of recommendations you want to generate

Getting started:
- Open the add-on within your data sheet
- Set your input and output variables
- Set your upper and lower bounds
- Click run to generate new recommendations.
This will create a new sheet with some recommended experiment configurations for you to run and record your results.