Design Expert Software

What is Design-Expert?

Revolutionize your product and process enhancements using Design-Expert software. Identify crucial factors and components, analyze interactions, and attain optimal process settings and product formulas. Employ interactive 2D graphs to set indicators and explore contours; then examine response surfaces from various perspectives through adjustable 3D plots. Lastly, optimize desirability for multiple responses simultaneously and superimpose them to identify the optimal "sweet spot" meeting all criteria. Contact us for the Design Expert software at an affordable price.

Design-Expert streamlines the application of potent multifactor testing tools, offering a seamless approach to accelerating your research and ensuring its remarkable success.

Why Design-Expert?

Design Your Experiment: Design-Expert offers robust capabilities for devising optimal experiments encompassing your processes, mixtures, or factor-component combinations. When uncertain, bolster your approach through real-time power calculations and the option to integrate blocks and center points. The user-friendly design wizards and intuitive arrangements, such as the stoplight configuration for two-level factorials, make the entire process significantly more straightforward than you might anticipate.

Analyze Your Data: Design-Expert simplifies the identification of statistically significant outcomes and offers refined methods for precise result modeling, instilling the assurance necessary for effective presentation and, potentially, publication of your findings.

Visualize Your Results: Design-Expert provides an extensive range of graphical options that aid in pinpointing significant effects and effectively portraying your results. These visual outputs leave a lasting impact when conveying your findings to colleagues and supervisors.

Features of Design-Expert

Factorial Designs: Factorial designs involve systematically studying the combined effects of multiple factors on a response variable in Design of Experiments.

RSM Designs: Response Surface Methodology (RSM) designs involve creating mathematical models to predict and optimize responses based on multiple variables.

Mixture & Combined Designs: Mixture and combined designs focus on optimizing variables when components are mixed or combined.

Design Evaluation ToolsDesign evaluation tools encompass various techniques and analyses used to assess the quality, efficiency, and effectiveness of experimental designs.

ANOVA, logistic & Poisson regressionANOVA (Analysis of Variance), logistic regression, and Poisson regression are statistical techniques used to analyze experimental data and model relationships between variables.

Diagnostic PlotsDiagnostic plots are graphical representations used to identify patterns, outliers, and potential issues within experimental data.

3D graphics3D graphics in the context of Design of Experiments refer to three-dimensional visual representations used to depict the relationships and interactions between multiple variables and responses, providing a comprehensive view of experimental outcomes.

Numerical OptimizationNumerical optimization involves using mathematical algorithms to find the best combination of input variables that maximizes or minimizes a specific objective function, helping to identify optimal experimental conditions.

How Design-Expert helps you?


  • Factorial and fractional-factorial designs, encompassing minimum-run designs, as well as efficient multi-level configurations.
  • Incorporating response surface designs such as central composite and Box-Behnken, ensuring optimality.
  • Inclusive of mixture designs spanning screening, simplex, and optimal formulations.
  • Crafting custom optimal combined designs tailored for mixture-process scenarios, double-mixture setups, and mixture-amount conditions.
  • Integrating split-plot designs for factorial arrangements, response surface investigations, and combined mixture-process explorations.

Design Augmentation:

  • Duplication, blocking, and center points inclusion.
  • Incorporation of foldover, semi-foldover, and optimal expansion strategies.
  • Tailored enhancement through custom augmentation involving design space adjustments such as shifting, expansion, or contraction.


  • Assessment tools for designs encompassing standard error and fraction of design space (FDS).
  • A summary table for comparing models, along with various methods for model reduction.
  • Comprehensive analysis summary featuring ANOVA, Poisson regression, logistic regression, restricted maximum likelihood, and additional techniques.
  • Diagnostic tools for residuals and influence graphs, incorporating a Box-Cox plot for transformation analysis.
  • Inclusion of error propagation (POE) capabilities.


  • Single-factor and multi-factor profiling, interaction assessment, contour mapping, 3D surface visualization, cube plotting, and perturbation/trace graphing.
  • Displaying data through 2D and 3D scatterplots, histograms, box plots, as well as personalized graphs tailored for analysis representation.


  • Utilization of both numerical and graphical optimization, accompanied by choices for confidence intervals.
  • Enabling point prediction and analysis of confirmation runs.

What's New?

Analysis Summary: The updated Analysis Summary extends beyond the former Coefficients Table, incorporating a broader array of model-fit metrics. Effortlessly observe p-values, R-squares, model equations, and additional information across all response variables.

Custom Graphs: The Graph Columns node has been enhanced and rebranded as Custom Graphs. This advancement enables you to graphically represent analysis data such as predicted values and residuals, while also offering the ability to differentiate data points using varying sizes and symbols.

Hosted Network Licensing: A fresh licensing choice lets you host a network license on, enabling software usage across numerous devices without the need for an on-site license server. This in turn minimizes expenses associated with self-managed software deployment and administration.

Design-Expert Training?

Discover the principles of Design of Experiments (DOE) in a manner that suits your learning style best! Guided by specialists from Factonity in the field of DOE, our training, which is centered around real case studies, enhances and tailors your learning journey for maximum effectiveness.

We offer following trainings: