Simplify Design of Experiments in Medical Manufacturing with Cornerstone

In a manufacturing landscape shaped by AI and automation, statistical Design of Experiments (DoE) continues to prove its value, especially in medical technology development. While some may view DoE as a method of the past, it remains critical for driving innovation, maintaining compliance, and optimizing processes.

As an advanced statistical analysis platform, Cornerstone enables engineers and process specialists to implement DoE without programming expertise. With a guided interface and scalable performance, the software simplifies statistical analysis for teams aiming to improve quality and efficiency in regulated manufacturing environments.

The Real-World Challenge: Process Optimization Under Regulatory Pressure

Medical device manufacturers face high expectations for quality, traceability, and regulatory compliance. Development cycles must remain efficient, yet experimentation and documentation often require significant effort. Many teams lack the time, resources, or programming knowledge to fully utilize advanced data analysis methods.

This is where Cornerstone supports organizations—providing a solution that makes statistical methods more approachable without compromising reliability.

Explore challenges in medical device manufacturing

Why Traditional DoE Is Still a Competitive Advantage

DoE offers structured, evidence-based insight into process behavior. Unlike AI tools that depend on large volumes of historical data, DoE allows users to uncover new relationships through controlled experimentation.

By systematically varying the influencing factors and analyzing the results with Cornerstone's powerful statistical tools, processes are optimized in a targeted and sustainable manner.

With Cornerstone, the number of experiments that need to be conducted can be minimized without compromising statistical significance. This saves time, costs, and resources in development.

Key strengths of Cornerstone 8.1

Intuitive Graphical User Interface

Cornerstone’s interface is designed to be visually structured and easy to navigate. Engineers can manage data, configure analyses, and interpret results within a clean and consistent environment—minimizing the learning curve and reducing the risk of user error.

Step-by-Step Guidance

Each analysis in Cornerstone is supported by a guided process that helps users apply the right statistical methods. This structured approach ensures consistency and quality in experimental planning, even for those without formal training in statistics.

No Programming Skills Required

Cornerstone allows users to perform complex statistical analysis and DoE without writing a single line of code. The software eliminates technical barriers, making it accessible to engineers and technicians who need data insights but don't have a background in programming or scripting.

Fast Learning Curve

Designed with usability in mind, Cornerstone enables users to become productive quickly. Built-in templates, logical workflows, and immediate visual feedback support rapid onboarding—so teams can focus on solving real engineering challenges instead of learning a complex tool.

Explore Cornerstone’s core functions and advanced capabilities