Design of Experiments Workshops

We offer hands-on design of experiments workshops, both in the United States and abroad. Whether you are looking for a class for the first-time experimenter or the advanced practitioner, we can help.

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Design-Expert Software

Whether you are new to design of experiments or a seasoned pro, you'll make breakthrough improvements to a product or a process with Design‑Expert software. Now on macOS.

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Stat-Ease logo

A better product. An improved process. Stat-Ease, armed with an expertise in design of experiments, has been helping people make breakthroughs since 1985. Find out how our Design‑Expert software, training, books, and consulting can help you improve your bottom line.

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Version 12

Design of Experiments Software

Design-Expert version 12

Make breakthrough improvements to a product or a process with Design-Expert, whether you are new to design of experiments or a pro. Its straightforward, easy-to-use interface sits on top of a powerful statistical engine. You will not only screen for vital factors, but also locate ideal process settings for top performance & discover optimal product formulations.

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Modern DOE for Process Optimization

January 28-30, San Diego, CA

Response Surface

Updated for DX12. Via real-world case studies, this 3-day workshop lays out tools for mixture design that vary product recipes in search of the "sweet spot" where it meets all specifications. Learn the secrets for applying a multicomponent formulation strategy to maximize mixture performance. We top it all off by combining process factors, so by class-end you can literally mix your cake and bake it too.

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What's New

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Backlist Case Study

How Design of Experiments Can Improve Formulation Development

By Greg on Nov. 11, 2019

This article from our backlist written by Jerry Fireman was published in the February 2018 CoatingsTech.

This article show how statistically-based design of experiments (DOE) provides validated models, including any significant interactions, that make it possible to confidently predict response measures as a function of the inputs.


Experimental Design in Chemistry: A Review of Pitfalls (Guest Post by James Cawse)

By James Cawse on Nov. 11, 2019

Getting the best information from chemical experimentation using design of experiments (DOE) is a concept that has been around for decades, although it is still painfully underused in chemistry. See how James Cawse suggests using DOE in chemical environments, without falling into a pitfall.


Practical Considerations in the Design and Analysis of Experiments with Binary Data

By Greg on Nov. 8, 2019

In our most recent recorded webinar, Martin Bezener, Stat-Ease Consultant, introduces Design-Expert v12’s new tools for logistic regression. After providing a primer on the statistical aspects, he lays out real-life examples that benefit from specialized modeling for binary responses. DOE level: Intermediate.