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In product development, transforming a flood of early-stage prototypes into a clear path forward can be challenging. Traditional sorting and classification methods are often slow, subjective, and inconsistent—making it hard to see patterns that guide innovation with confidence.
Join Iván Méndez, Executive Director at MBSense, for this webinar to explore how XLSTAT’s advanced techniques—including clustering, sorting, and Principal Component Analysis (PCA)—can turn raw prototype evaluations into actionable insights that speed up decision-making and reduce development risks.
In this webinar, you’ll learn to:
- Apply sorting, clustering, and PCA in XLSTAT to group and classify prototypes.
- Uncover key patterns in sensory, qualitative, and quantitative feedback data.
- Visualize relationships between prototypes and attributes using PCA for clearer insights.
- Communicate findings effectively with XLSTAT’s visualization tools.
- Move from subjective opinions to data-driven priorities for product development.
Watch now
Speaker
Iván Méndez
Executive Director, MBSense
Iván Méndez is a Food Engineer from USB Mexico and a Master's student at Universidade Federal de Pelotas, Brazil. He has 30 years of experience as a consultant specializing in sensory and statistical methodologies for quality control, product development, innovation, and consumer studies. Iván is also an active professor at the National Autonomous University of Mexico (UNAM) for more than 15 years. As the Executive Director and founder of MBSense, he has led research and consulting projects that bridge sensory evaluation with data-driven decision-making to drive innovation.
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