To Become a Superstar, Improve Your Strengths (Not Your Faults)

Nir’s Note: This guest post is by Auren Hoffman, the CEO of LiveRamp in San Francisco. This essay is a bit different from the normal subject matter on the blog but I hope it will stir some discussion about which of our personal habits are worth improving. Connect with Auron on Twitter at @auren or on Facebook.

Become a superstar

To really differentiate yourself and become a superstar in this winner-take-all world, you should be focusing on

Go Ask Grandma: How To Design For “Normals”

Note: This post originally appeared in Techcrunch. I’m proud to have co-authored this post with Katy Fike, PhD.  Dr. Fike is a gerontologist, systems engineer and Partner at Innovate50, a consulting firm helping companies create products and services for the 50+ market

Go Ask Grandma: How To Design For Normals

As web watchers, entrepreneurs, and investors search for the next big thing, they’d be wise to focus on innovations that can be easily adopted by technology novices. A recent string of companies, including Groupon and Pinterest, have found success outside

Forming New Habits: Train to be an Amateur, Not an Expert

Note: I’m proud to have co-authored this post with my good friend Charles Wang.  Charles is a co-founder of LUMOback, a former classmate, and an accomplished psychiatrist.  He brings a great perspective to the art of Behavior Engineering.

Here’s the gist:

  • Forming new habits requires a unique set of techniques.
  • Training to become an expert has a completely different methodology than becoming an amateur.
  • Using the wrong technique will doom your good intentions.

Today’s top selling books are about how to acquire world-class skill. Daniel Coyle’s, The Talent Code looks at how deliberate practice is required to achieve greatness.  Joshua Foer shows us how we must smash past performance plateaus to be any good.  Worse, Tim Ferris’s 4-Hour series is doing for hipsters what crash diets do for teenage girls, making promises of quick transformations.

These authors’ methods work.  Yet, they are all dead wrong.  

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