Since COVID-19 is nearly all you see/hear these days I thought I might as well do my part.  Started thinking about how the response to it is related to problems organizations face when trying to do root cause analysis.  Here are some thoughts: When a problem occurs...

If your organization screws up so often that you actually advertise that you will (sort of) fix it, you have a serious problem. See Domino's "Delivery Insurance"  They're promoting it like it's a great feature (as compared to fixing potholes).

I loved (that's a joke) BMW's comments in this article about the big grille: https://www.autoblog.com/2019/12/17/bmw-defends-big-grille/ I'm thinking that yes, people who buy the vehicles probably are ok with the grille.  But what about all the people who DON"T buy a...

You just can't not learn if you listen to Richard Feynman: z6dRcL$g$L.yyYa45

Sidney Dekker is thought of as one of the top gurus relative to human error.  Here's a worthwhile video of one of his presentations.  Although it's safety-focused, it's just as applicable to quality errors. https://www.youtube.com/watch?v=4E-YN6hD1WU

Here's a lecture that provides a great view of why human behavior is so complex: https://www.youtube.com/watch?v=2bnSY4L3V8s Unfortunately he doesn't take it further with recommendations on how to move people from the Us to the Them view.

I've never been one to worry too much about normality of data.  Here's a tremendous article explaining why it isn't particularly important for control charts. https://www.qualitydigest.com/inside/statistics-column/normality-myth-090819.html

Although likely intended for financial auditors, a lot of the advice is also relevant for quality auditors. https://internalaudit360.com/conducting-risk-assessments-the-total-quality-auditing-way/