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When we’re looking at results (like measures of a characteristic), we need to take care not to get too hung-up on what the statistics is trying to tell us. Yes, statistical tools are a good way for us to make decisions and the results can act as proof for us. But, there’s a practical, engineering side to results, too. We need to evaluate the statistical significance along with the practical significance.
We review an example and how to document it.
Visit the podcast blog for a transcript and resources.
Send us a message
If your team is still catching problems too late — let's talk.
→ Schedule a free discovery call: Dianna's calendar
Get the full framework.
→ Pierce the Design Fog
ABOUT DIANNA
Dianna Deeney is a product development process strategist with over 25 years of experience in regulated industries. She is president of Deeney Enterprises, LLC, where she helps product development teams make better decisions upstream — before costly design mistakes get built in.
By Dianna DeeneyWhen we’re looking at results (like measures of a characteristic), we need to take care not to get too hung-up on what the statistics is trying to tell us. Yes, statistical tools are a good way for us to make decisions and the results can act as proof for us. But, there’s a practical, engineering side to results, too. We need to evaluate the statistical significance along with the practical significance.
We review an example and how to document it.
Visit the podcast blog for a transcript and resources.
Send us a message
If your team is still catching problems too late — let's talk.
→ Schedule a free discovery call: Dianna's calendar
Get the full framework.
→ Pierce the Design Fog
ABOUT DIANNA
Dianna Deeney is a product development process strategist with over 25 years of experience in regulated industries. She is president of Deeney Enterprises, LLC, where she helps product development teams make better decisions upstream — before costly design mistakes get built in.

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