Posts Tagged ‘problem solving’

The two top skills of great innovators

Wednesday, December 9th, 2009

The Harvard Business Review this month features a fascinating piece by Jeffrey Dyer of Brigham Young University, Hal Gregersen of Insead, and the omnipresent Clayton Christensen, entitled “The Innovator’s DNA.” The authors have completed a six-year study, summarized in the article, involving an in-depth analysis of 25 innovators and a further survey of 3,500 others who were connected to innovation in some way. The study attempted to identify key skills that separated great innovators from the rest of us.

The authors found five key innovative skills – Associating, Questioning, Observing, Experimenting and Networking.

In the article, a chart compares four iconic modern innovators (Michael Dell, Pierre Omidyar, Scott Cook and Mike Lazaridis) with noninnovators, in each of the five skills. The innovators are much above the noninnovators in each dimension, but in two skills the difference is stark: Associating (according to the authors, “the ability to successfully connect seemingly unrelated questions, problems or ideas from different fields”) and Questioning (”ask[ing] questions that challenge common wisdom”). Noninnovators fell below the 50th percentile on these dimensions, while the icons were with one exception above the 95th percentile of those studied.

Related posts:
Smart World
The Opposable Mind
On Experimentation

Attacking wicked problems by taking a fresh look at outlying data

Monday, October 26th, 2009

In the November Harvard Business Review, Roger Martin (author of one of my favorite books of 2008, “The Opposable Mind“) and autism researcher Stephen Scherer of the Toronto Hospital for Sick Children discuss unraveling mysteries by looking at “outlying” data. In a few words, Scherer says a lot about how to deal with difficult problems:

Autism is a vast problem; no single researcher or lab can take on its full breadth. I focused on just one piece of it: the data that everybody else was throwing away. I call it the garbage-can approach. My belief is that answers to really difficult problems can often be found in the data points that don’t seem to fit existing frameworks.

Scherer looked for patterns in this outlying data. His success in finding some genetic markers for autism reminded me of the plea a couple of years ago to “free the dark data” from failed scientific experiments. And it reinforces the value of the “beginner’s mind” when approaching new challenges.

Related posts:
Top Business Books of 2008
Extracting Value From A Failed Cold Call