article thumbnail

7 Steps to Bulletproof Problem Solving

Leading Blog

Step Two: Disaggregate the Issues. How do you disaggregate the issues and develop hypotheses to be explored? How do you develop a workplan and assign analytical tasks? Finally, a storyline needs to be developed that links your solution back to the original problem. A weak problem statement is a common problem.

article thumbnail

7 Steps to Problem Solving

Skip Prichard

As a consequence of accelerating change, the old model of managerial skill development and application is no longer effective. How did you develop it? 2: Disaggregate. 2: Disaggregate. Technology change is speeding business up and providing an edge for disruptive innovators. 7 Steps to Problem Solving. 3: Prioritize.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Making Diversity Central to Success: Q&A With Chevron’s Chief Diversity Officer

HR Digest

Lee Jourdan: One thing we’re doing, and it’s a bit subtle, is that we’re disaggregating the data we provide in our Corporate Responsibility report, so we can gauge how we’re progressing. One of the areas we’re focused on is expanding our pipeline of diverse talent through recruitment, development and promotion.

Diversity 107
article thumbnail

Automation Will Make Us Rethink What a “Job” Really Is

Harvard Business Review

Significant investment also takes place in cockpit technology as well as in training and development (e.g., To answer these questions, we need to begin disaggregating work and understanding how automation and AI can differentially handle various aspects of work.

article thumbnail

Traditional Strategy Is Dead. Welcome to the #SocialEra

Harvard Business Review

So before we can explore the Social Era, we need to disaggregate two words — social is not always attached to the word media. Regular readers of HBR will recognize parts of the thesis in this post; the idea has developed with your input, as these ideas were first shared in a five-part series.

article thumbnail

Approximately Correct Is Better than Precisely Incorrect

Harvard Business Review

Still, companies often make the mistake of developing products and features to appeal to the mean. What they should be doing is disaggregating the drivers of these results, and focusing instead on who, or what, comprises those averages. In both cases, the mathematical average is an amusing but not very useful data point.

article thumbnail

The 3 Ways Work Can Be Automated

Harvard Business Review

Developments in machine learning, powered by scalable computing resources in the cloud and heavy investment in exceptional human talent by the large players in the IT industry, are making computers capable of recognizing patterns and understanding meaning in big data in a cunningly human-like way.