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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.

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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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.

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.

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

Powerful tools for experimenters.

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 .

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.

Version 23.1.6 Now Available

All subscribers of Stat-Ease software or users with an active Annual Support & Maintenance plan are eligible to install and run the latest versions of Stat-Ease 360 or Design-Expert as they are released. Check our changelog for the details on what's new, and download the latest version from the Licenses tab in your account .

Full 2024 Workshop Schedule Available

Our public workshop schedule for the rest of 2024 is live! Register now for either our Mixture Design for Optimal Formulations or our Modern DOE for Process Optimization course. If you can't make the scheduled time, or if you have more than 5 people to train, contact us for options . We look forward to helping you save time and money with design of experiments!

Tips and tools for modeling counts most precisely

Back in 2021, we added Poisson regression to Stat-Ease 360 and Design-Expert software. Mark's latest blog delves into how this alternative modelling method is useful for experiments handling counts. Read it today to learn how!

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The 5 Best Design of Experiment (DoE) software

What is Design of Experiments (DoE)?

Design of Experiments (DoE) is a systematic method used to study the relationship between different factors affecting a specific outcome. By exploring multiple variables simultaneously, DoE enables researchers to determine the effects of each factor and their interactions, providing a deeper understanding of the entire system.

This approach is widely utilized in fields like manufacturing, pharmaceuticals, and agriculture for optimizing processes, improving product quality, and reducing costs. It represents an efficient way to gain insights and make data-driven decisions, leading to more effective and competitive solutions.

What is DoE Software?

DoE software is a tool that facilitates the Design of Experiments process. It offers features for planning, executing, and analyzing experiments, making the complex task of interpreting experimental data more manageable. By utilizing DoE software, researchers can derive valuable insights quickly, guiding them in optimizing products and processes.

Top 5 Best Design of Experiment Software

Here are the top 5 DoE software used by professionals in industry and academia

Quantum Boost

Designexpert.

What it is : JMP is a well-known graphical data analysis tool launched back in 1989 with a focus on statistical methodologies developed by the SAS Institute

Key features & what it’s good at :

• Graphical Analysis : Offers a wide variety of interactive graphs for visualizing and interpreting data.
• Integration with SAS : Integrates seamlessly with SAS, broadening its range of statistical methodologies. SAS is a software suite, designed for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics.
• Wide Range of Statistical Models : Despite an initial learning curve, JMP provides an extensive array of statistical models, making it a powerful tool for research and specific industries once users become familiar with it.

Price : From $1,200.00/year (Includes free trial)

What it is : Quantum Boost is an advanced online platform that uses the power of artificial intelligence to reach set targets through the fewest possible experiments.

• 2-5x Faster than DoE: Quantum Boost uses state-of-the-art AI algorithms to ensure you will achieve your targets in the fewest amount of experiments possible.
• Highly flexible project development : Ability to update your project definition as you go without losing all the knowledge gained so far, unlike most DoE software.
• User-friendly: The platform is carefully crafted to guide users through the complexities of experimental design, making it accessible for both beginners and seasoned experts. Its sleek design and efficient navigation ensure that users can focus on the essential tasks of planning, executing, and analyzing experiments without unnecessary complications.
• Invaluable analytics: Get immediate insights into your experimental data and make better strategic decisions about your products. The analytics are very easy to use and interpret.

Price : From $95.00/month (Includes 14-day free trial)

What it is: DesignExpert is a DOE software package known for its simplicity and ease of use, ideal for those seeking straightforward DOE solutions without the complexity of alternatives like JMP and Minitab.

Key features & what it's good at:

• User-friendly interface: Known for its ease of use relative to other DoE software, DesignExpert is a valued choice for those wanting to apply multifactor testing tools without difficulty.
• Variety of designs: The software offers a flexible range of design options, including factorial design, optimal design, Plackett-Burman design, and response surface designs.
• Graphical interpretation: Presents factor effects and their interactions in a visually clear way, making complex analysis more approachable.

Price : From $1035.00/year (offers a 14-day free trial)

What it is : Minitab is a statistical software tool widely used for data handling and analysis. It offers various features for statistical analysis, including Design of Experiments (DoE), but requires a solid understanding of statistics for effective use.

Key features & what it's good at :

• Assisted Analysis : Minitab provides helpful menu options for various statistical analyses like MSA, capability analysis, and hypothesis testing, aiding in more efficient analysis.
• Graphical Capabilities : Enables easy creation of graphical and control charts, allowing quick visualization of large data sets.
• Comprehensive Data Analysis : Once users overcome the initial learning curve, Minitab offers extensive data analysis features, allowing the integration of statistics from diverse sources to facilitate well-informed business planning.

Price : From $1,780.00/year (Includes free trial)

What it is : MODDE Go is a competitively priced Design of Experiments (DoE) software, designed to provide researchers and professionals with good experimental design tools. With a focus on simplifying complex processes, it offers key functionalities to enhance the design and interpretation of experiments. MODDE Pro is also available which offers a greater deal of functionality and features.

• Includes all the classical factorial and fractional factorial designs
• Access to a MODDE online Knowledge Base
• Good graphical presentations for easy interpretation and sharing of results

Price : From $399 (Includes 30-day free trial)

Selecting the right Design of Experiments (DoE) software is vital for the success of any experimental project. The five options highlighted here each offer unique strengths and functionalities:

• Quantum Boost excels in speed, flexibility, and user experience. Utilizing AI, it minimizes the number of required experiments and makes the experimental process both efficient and adaptable.
• JMP and Minitab are tailored for statistics teams that want complex, advanced statistical features besides DoE but are known to be more complex and may require a deeper understanding of statistics for effective use.
• DesignExpert is appreciated for its simple and user-friendly design relative to other DoE software, making it well-suited for users who want DoE without complexity.
• MODDE Go offers good experimental design tools at a competitive price.

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We explore three key advantages of centralizing your database with past experiments, including internal knowledge transfer, mitigating the risks of employee turnover, and streamlined data analysis.

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Design of Experiments in NCSS

Introduction, technical details, randomization lists, balanced incomplete block designs, fractional factorial designs, latin square designs, response surface designs, screening designs, taguchi designs, two-level designs, design generator, d-optimal designs, procedure input.

Sample Output

• 1. Randomly assign the numbers to the blocks.
• 2. Randomly assign the letters to the treatments.
• 3. Randomly assign the treatments within the blocks.
• 4. Randomly group blocks as replicates. A replicate is a complete set of all treatments.

• 1. The low-level value is assigned to -1.
• 2. The high-level value is assigned to 1.
• 3. The average of these two values is assigned to 0.
• 4. The values of - a and a are used to find the minimum and the maximum values.

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Design of Experiments Software That Accelerates Progress

Design of Experiments (DOE) is the fastest and most cost-efficient way to design effective experiments, increase productivity, and tackle your toughest challenges in development and manufacturing. With MODDE ® you can quickly tap into the power of DOE—without a steep learning curve. And that means you reap the cost-savings and benefits sooner. Whatever your industry—be it petrochemicals or pharma, food or fragrance, pulp, paper or plastic—MODDE ® will help you advance faster. 

Expect More, Deliver More – with MODDE ®

MODDE ® does a lot more than ordinary DOE software. Its built-in guidance and quality measures ensure users make the best experimental choices, so you get the most relevant and effective outcomes. MODDE ® is designed to help experimentalists get DOE right from the start.  With an efficient DOE approach to problem-solving, you can: 

• Significantly reduce experimental costs  
• De-risk projects and increase success rates 
• Make the most of valuable samples, raw materials and human resources  
• Accelerate progress and time-to-market while keeping within budget 
• Achieve quality goals and satisfy Quality by Design (QbD) requirements 

Advance With Confidence

Reduce the risk of failure – make every experiment count.

Experiments are expensive. A poor experimental design or mistake at any stage can waste valuable materials, time and resources. With MODDE ® , you don’t need to be an expert statistician to design, run and analyze effective DOEs. Our expert data scientists have condensed their years of experience into helpful wizards, automated routines, and informative data visualizations that speed up progress and guide experimentalists to the best outcomes—it’s like having an expert consultant by your side the whole time.  

Find Solutions That Meet ALL of Your Objectives

MODDE ® stands out from other DOE software packages by taking your unique objectives and priorities into account.  Smart quality-analytics automatically apply a risk estimate to your options, based on how much uncertainty you decide is acceptable.  Are you working in a highly regulated industry? MODDE ® guides you to the operational settings that give a healthy safety margin. Could a small shift in process conditions give you a big cost-savings? MODDE ® helps you compare the impact of each option. 

Design of Experiments Support in Every Step

MODDE ® provides optimization by a guided workflow wizard that helps scientists and engineers to intensify processes, reduce waste and optimize process output using a top-notch approach to mitigate risks. Together with the reworked design Wizard and updated analysis Wizard, MODDE ® now provides complete guidance through your investigations from screening to optimization.   The most frequently used function and customizations can now be accessed in the properties pane, making it easier than ever to run a successful DOE.  

Beginner or Pro – MODDE ®  Gets Tangible Results for Your Business

Whether you need full flexibility and advanced tools for complex and varied investigations, or are carrying out more routine or basic tasks—MODDE ® gets results. Choose MODDE ® Pro for advanced DOE, modeling and quality-analytics in development and manufacturing. For a more streamlined entry point, MODDE ® Go helps users set up and advance with confidence. Both options accelerate progress with best-in-class tools, built-in guidance and automated routines—so you get the answers you need sooner. 

*GxP compliant, quality activities performed throughout the life cycle of the software development according to Quality Management System in line with ISO 9001:2015, validated software, 21 CFR Part 11 compliant audit trail.

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How do you trim production costs and still satisfy quality requirements?  Will your new vaccine formulation remain effective for the required shelf life?   Effective Design of Experiments (DOE) holds the key to answering questions like these systematically and cost-efficiently. This course explores how and when to apply DOE, drawing on real-world applications and examples using MODDE ® software. Intended for researchers, scientists and engineers from all sectors of industry and academia.

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Design of Experiments

Designed experiments for more understanding and maximum impact..

• Understand cause and effect using the power of statistically designed experiments — even when you have limited resources.
• Design efficient experiments to meet your real-world constraints, process limitations, and budget with the Custom Designer.
• Use a Definitive Screening Design to help you untangle important effects when considering many factors.

From the beginning, we were able to quantify how much value DOE adds for us. We were using DOE in several internal cases and we were able to quantify our savings of at least 50% of the time and resources. In some cases it was even 70%.

Pilar Gomez Jimenez Principal Scientist, Johnson Matthey

Design of Experiments With JMP: Highlighted Features

Textbook designs (classical designs).

• Full factorial
• Fractional factorial
• Response surface (RSM)
• Blocking designs (RCBD, CBD, IBD, RIBD)
• Split-plot design
• Strip-plot design
• Mixture design

Optimal Designs 

• Custom design
• Optimality criteria
• Constrained designs

Screening Designs

• Definitive screening

Robust Designs 

• Taguchi array
• Taguchi design
• Noise factor

DOE Concepts  (DOE Techniques)

• Randomization
• Replication
• Center points
• Sequential experimentation
• Augment design 

Special Purpose Designs 

• Space filling
• Covering array PRO
• Nonlinear design

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• Design comparison
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• Design diagnostics

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See everything that JMP ® can do for you and your organization, from data access and cleaning, to exploration and visualization, all the way through sharing and communicating your results.

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