Design-Expert logo

Design-Expert

by Stat-Ease · Since 1988
No reviews yet
ActiveOn-premise
Quick facts
VendorStat-Ease
Year launched1988
StatusActive
LocationStat-Ease, Inc., PO Box 18338, Minneapolis, MN 55418
Countries servedN/A
Languages1
IntegrationsN/A
Free tierNO
Free trialYES
Contact salesYES

About Design-Expert

Design-Expert is a statistical software package for Design of Experiments (DOE).

Design-Expert by Stat-Ease is a specialized software package focused on Design of Experiments (DOE). It is designed for scientists, engineers, and researchers to make breakthrough improvements to products and processes. The software provides a comprehensive suite of tools for designing, analyzing, and visualizing experiments, including factorial, response surface, and mixture designs. Users can screen for critical factors, characterize interactions, and find optimal process settings or product recipes. Key features include interactive 2D and 3D graphs for visualizing response surfaces and a design wizard to simplify the creation of experiments. The software is available for Windows and macOS. While pricing is not listed directly, users can request a quote and a 14-day free trial is available. Support is provided via email and extensive online documentation.

Pros & Cons

Pros
  • Provides powerful tools for a wide range of experimental designs, including factorial, response surface, and mixture designs.
  • Offers strong data visualization capabilities with interactive 2D and 3D plots.
  • A 14-day free trial is available for evaluation.
  • Supports both Windows and macOS operating systems.
  • Includes wizards and an intuitive interface to simplify the process of setting up experiments.
Cons
  • Pricing is not publicly listed and requires a quote request.
  • No live chat or chatbot for immediate support.
  • The full feature set, including Python integration, is reserved for the higher-tier Stat-Ease 360 product.

Features

Key features

Experimental Design

Provides tools to lay out experiments for processes, mixtures, or combinations of factors and components.

Response Surface Methodology (RSM)

Visualize response surfaces with rotatable 3D plots and interactive 2D contour graphs to find optimal process settings.

Mixture Design

Create and analyze experimental designs for formulations involving multiple components.

Factorial Screening

Screen for vital factors and components to identify significant effects and interactions.

Data Analysis & Modeling

Offers statistical tools to analyze experimental data, determine significance, and build predictive models.

Additional features

Graphical Visualization

A wide selection of graphs to identify standout effects and communicate findings.

Combined Study Types

Supports designs that combine process factors, mixture components, and categorical factors.

Optimal Design Creation

Utilizes optimal design functions to determine the most informative test points, minimizing experimental work.

Analysis Summary

An at-a-glance interface to compare values across different analyses, such as Lack of Fit and curvature p-values.

Perceptually Uniform Color Maps

Choose from multiple color gradients to improve visualization of model and optimization graphs.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Countries served
1
Interface languages
Billing currencies

Interface languages

English

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