Design of Experiments Training

Targeted topics provide faster insights, leading to immediate results! Our interactive learning experience promotes real understanding of DOE methods and tools.

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Stat-Ease 360 Software

SE360 augments Design-Expert software with integration with Python scripting for data analysis, new Custom Graphs, and Gaussian process models for zero-error and noisy responses.

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Hosted Network Licensing Available

Our Hosted Network License allows you to run the software on multiple devices without requiring an on-premises license server. Ask us for a quote!

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Design-Expert Software

Best in class design of experiments software makes R&D easy with an intuitive interface and amazing graphics. Whether you are new to DOE or a seasoned pro, you'll make breakthrough improvements with Design‑Expert software.

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New-User Intro to Stat-Ease® 360 Software

A complete introduction to Stat-Ease DOE software, this free webinar provides new users with the tools needed to start planning your DOE.

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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 industry-leading software and multi-modal training can help you improve your bottom line.

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Stat-Ease Software

New Features & Licensing Options

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Make breakthrough improvements with Stat-Ease 360 or Design-Expert® software. Our software makes it incredibly simple to apply powerful multifactor testing tools.

Whether you are new to design of experiments or a pro, our 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.

The latest releases provide new Custom Graphs, a multi-response Analysis Summary view, and the ability to Import/Export data to Excel. View the software brochure here.

For information on the latest version, view our change log.

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Hands-on DOE Training

Learning at Your Convenience


Learn design of experiments (DOE) your way! Stat-Ease offers premium training options for Design-Expert and Stat-Ease 360 alongside general DOE education.

Take advantage of our online eLearning modules designed for self-directed DOE learning, then work through our step-by-step software tutorials. Learn more by registering for a free one-hour webinar.

For comprehensive DOE education, enroll in our highly interactive instructor-led workshops for either process DOE or mixture formulations. Experienced experts lead our hands-on, case-study based courses. Whatever your educational style, we offer training that meets your needs.

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What's New


2023 Online DOE Summit Wrap-Up

By Rachel Poleke on Nov. 1, 2023

This premier conference on design of experiments was held in October 2023, with appearances from chemists, consultants, engineers, and more. Click here to access the slides and recordings from this awesome event! #DOEsummit2023


Hosted Network Licensing Available

By Stat-Ease Team on Dec. 2, 2022

Has your team wanted to take advantage of our floating license options, but you weren't sure about getting a license server? We now have an option for experimenters to use a floating license that's hosted on a Stat-Ease server in the cloud! Your team can use the same license globally, without the hassle of your IT group needing to manage it themselves. With the license being the only thing in the cloud, there are no data security issues to consider, either. Contact us today for pricing and with your questions!


Dive into Diagnostics for DOE Model Discrepancies

By Shari Kraber on Aug. 15, 2023

The purpose of running a statistically designed experiment (DOE) is to take a strategically selected small sample of data from a larger system, and then extract a prediction equation that appropriately models the overall system. The statistical tool used to relate the independent factors to the dependent responses is analysis of variance (ANOVA). This article will lay out the key assumptions for ANOVA and how to verify them using graphical diagnostic plots.