Simplifying Probabilities for Better Decision Making
Description
Ever find yourself stuck trying to gauge the likelihood of an event?
What if you could transform your approach to probability assignments with just one simple trick?
On this episode of Quality During Design, we talk about simplifying probabilities for better decision making. We uncover a method to assign probabilities and occurrence ratings during preliminary assessments.
We share a technique that involves breaking down an event into smaller, more manageable parts, helping you understand and analyze it better. This method makes it easier to assign likelihoods because it provides better understanding of the event, clearer context, and consideration of what may drive things to happen.
Then, we relate these parts to conditional probabilities. We offer example explanations and practical applications to help you grasp conditional probabilities.
Plus, for those looking for additional resources, we have a cheat sheet that can further simplify these concepts for you. Not a subscriber yet? Visit qualityduringdesign.com to sign up and start receiving valuable insights directly in your inbox.
Join us to learn how these techniques can simplify probabilities, improve your assessments, and boost your team's decision-making.
Visit the podcast blog for more.
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About me
Dianna Deeney is a quality advocate for product development with over 25 years of experience in manufacturing. Through Deeney Enterprises, LLC and her signature program, Quality During Design, she empowers product design managers and engineers to create exceptional products.
Dianna helps teams integrate quality principles into their design process, fostering early collaboration that leads to fewer design rework loops and reduced overall costs. Her passion for education bridges the gap between design and quality through the Quality During Design platform, offering:
- The Quality During Design Podcast: Engaging discussions on topics like FMEA, design for manu...