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Are These Systems Serving or Subverting Organization Results?

The Practical Leader

“The 85/15 Rule” emerged from decades of root cause analysis of service/quality breakdowns. About 85% of the time the fault is caused by the system, processes, structure, or practices of the organization. Most good performers, in a poorly designed structure, produce the results shaped by the structure.

System 52
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What if the Miracle Question Worked with Corporate Teams?

Mike Cardus

A form of the Miracle Question: I tried a variation with a Project Team of Aircraft Engineers. The team and I had spent 3 days working through root-cause analysis and struggling to determine what was causing a certain screw to vibrate lose during flight.

TRIZ 146
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Applying a Model for Small Business Continual Improvement

Deming Institute

As a quality engineer, I am always looking for quality focused businesses. Root cause analysis. She holds a Master in Business Administration and is also a Quality Engineer certified by the American Society of Quality (ASQ). After the two months, extra meetings to follow-up on the action plan are optional.

Deming 28
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Data Can Do for Change Management What It Did for Marketing

Harvard Business Review

Banks and lenders have predictive analytics engines that tell the lender the probability that a customer will pay them back. Housing market price changes can be more accurately predicted from analysis of Google searches than by a team of expert real estate forecasters.

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Can GM Make it Safe for Employees to Speak Up?

Harvard Business Review

In a recent New York Times video on both disasters , one former engineer, Rodney Rocha, recalls asking why his request was rejected. ” At NASA, notes Rocha, “part of our engineering culture is that you work through your chain of command. I will regret always why I didn’t break down the door by myself.”

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How Companies Are Using Machine Learning to Get Faster and More Efficient

Harvard Business Review

Engineers, for example, have saved up to 40 hours of reporting task time each month. Root cause analysis. Consider Sight Machine again: By analyzing data for patterns that occur before trouble hits, the company’s systems help manufacturing engineers anticipate and prevent problems. Uncovering Buried Insights.