Top 7 Design of Experiments Software of 2024

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SafetyCulture Design of Experiments Software

SafetyCulture (iAuditor)
Audit app

Rated 4.6/5 stars on Capterra from 183 ratings

SafetyCulture Restaurant Analytics Software

Why use SafetyCulture?

One of the most reliable software solutions for quality control performance, SafetyCulture stands out for many as the top pick for the Design of Experiments, thanks to its fully automated suite of features. Highly versatile and scalable, the platform can accommodate experiments across industries and of any size and complexity. It is easily customizable too, guiding users to conduct designs based on their specific objectives. Most importantly, this free software for design of experiments has offline mobile capabilities that enable real-time data collection and analysis, streamlining every step from start to finish. 

Features:

  • Acquire accurate results by conducting experiments under controlled conditions with the help of sensors that monitor parameters (e.g., temperature, humidity, sound, vibration, etc.) in real-time. 
  • Ensure consistency throughout an experiment’s lifecycle by utilizing quality control checklists that guide users through protocols and procedures. 
  • Streamline data management and comprehensive analysis by integrating existing systems into the platform. 
  • Gain comprehensive visibility into the experiments by organizing them into project portfolios, which detail vital information such as resources, timelines, variables, and adjustments, to name a few. 
  • Facilitate collaboration among researchers, engineers, and other stakeholders by sharing real-time updates, observations, and insights about the experiment.

Why use Minitab?

With over 40 years of experience in providing statistical analysis solutions, Minitab helps its clients manage experiments, discover valuable insights, and solve any business challenge. On top of the platform’s comprehensive features, Minitab’s training and customer support excellence make it a popular choice among researchers of Fortune 500 companies across industries.

Features:

  • Statistics and predictive analytics 
  • Data exploration tools 
  • Machine learning capabilities

Why use JMP?

Primarily a statistical analysis software by the SAS Institute, JMP offers various solutions, including some for Design of Experiments. This end-to-end solution, strengthened by robust integrations, helps companies access, import, and analyze raw data so companies can tackle any problem in the shortest possible period and at lower costs.  

Features:

  • Advanced statistical modeling 
  • Data exploration and visualization
  • Automated workflow builders

Why use Design-Expert?

Established in 1982, Design-Expert by Stat-Ease specializes in Design of Experiments solutions for product development and process optimization. Aside from their advanced statistical features that help with response surface, factorial, and mixture designs, the company also provides consulting and training services for start-ups.

Features:

  • In-line power calculations 
  • Intuitive layouts and design wizards 
  • Multiple data visualization options

Why use Quantum XL?

SigmaZone, known for its digital tools and extensive training for Six Sigma, offers some of the best statistical software today. One of their products, Quantum XL, is designed specifically for DoE. With this Excel-run solution, companies conducting experiments can analyze data more effectively and improve the quality of their products and services.  

Features:

  • Control charts 
  • Reliability modeling 
  • Multiple simulation views

Why use MODDE®?

A leader in pharmaceutical and laboratory equipment, Sartorius has expanded their reach to offer innovative solutions tailored specifically for the biopharmaceutical industry. One of these is MODDE, a software made for Design of Experiments specifically. With the platform’s comprehensive statistical tools, other companies can optimize product development workflows effectively for consistent outcomes.  

Features:

  • Automated analysis wizard 
  • Robust optimum identification 
  • Interactive setpoint analysis with risk estimate

Why use Quantum Boost?

One of the very few cloud-based statistical analysis solutions, Quantum Boost enables companies to gain actionable insights that help them overcome some of the most challenging research and development  problems. Powered by AI and Machine Learning tools, teams use this platform to collaborate better and streamline their Design of Experiments workflows. 

Features:

  • Generated suggestions 
  • Adaptive goals and factors 
  • AI-powered analytics

What is Design of Experiments Software?

A Design of Experiments (DoE) Software is a specialized digital tool that systematically plans, executes, and analyzes experiments in manufacturing, engineering, pharmaceuticals, and research and development. By automating data collection, analysis, and statistical methodologies, researchers, product developers, and quality assurance professionals can promptly identify factors that could affect outcomes and determine optimal settings for those factors, speeding up decision-making and process improvement.

Importance

Utilizing a DoE software ensures success as it guides users to find the most efficient ways to arrive at the best results. Despite having a road map, experimentation can still be stressful and time-consuming, with manual errors, inconsistent results, and human biases and assumptions that affect analysis. Leveraging a software solution is the best way to overcome those issues.

With the right DoE software, you can also achieve the following benefits:

  • Streamlined Workflows With the help of digitization and automation, experiments are carried out more efficiently, from describing the goal to determining the precise variables. Consequently, companies can target and utilize the appropriate resources, minimizing their overall costs.
  • Robust Data Analytics Statistical analytics and data visualization tools help users interpret and understand the factors, particularly how they impact the output. All these improve the consistency of the outcomes, resulting in better decision-making when implementing changes.
  • Collaborative Work Environment – The platform features a centralized hub where workers from different departments easily collaborate. They can access vital information about the experiment, share tips, advice, or strategies, and send reminders to specific personnel.

Key Features

Some companies use statistical software for their DoE tasks. However, these may have limited functionalities and are not versatile enough to suit certain industries. When choosing the best DoE software, keep a look-out for the following features:

  • Experimental design templates for Define, Measure, Analyze, Improve, and Control (DMAIC) tasks, manufacturing quality control, product evaluation, and the like
  • Data collection and management tools
  • Error and issue handling tools
  • Graphical visualization tools
  • Simulation and prediction capabilities
  • Reporting and analytics
  • Compliance and audit trail
  • Collaboration and sharing features
  • Integrations
  • Mobile accessibility with offline capabilities

Choosing the Right Design of Experiments Software

All aforementioned design of experiments software, free or with charge, can help researchers, product development personnel, engineers, and Quality Assurance (QA) experts with their DoE tasks. Before deciding on one, review your top options in the chart provided:

Design of Experiments Software Free Version Paid Plan Mobile App
SafetyCulture Yes $24/seat/month* Yes
Minitab No Contact for pricing Yes
JMP No Contact for pricing No
Design-Expert No $1,085/user/year No
Quantum XL No $649/user No
MODDE® No Custom pricing No
Quantum Boost No $95/month No

* billed annually

Eunice Arcilla Caburao
Article by

Eunice Arcilla Caburao

SafetyCulture Content Contributor
Eunice Caburao is a content contributor for SafetyCulture. A registered nurse, theater stage manager, Ultimate Frisbee athlete, and mother, she has written a wide range of topics for over a decade. Eunice draws upon her rich, multidisciplinary background to create informative articles about emerging topics on health, safety, and workplace efficiency.