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Finding the right talent to fit your organizational culture

cultural fit assessment

 In determining the right people, the good-to-great companies placed greater weight on character attributes than on specific educational background, practical skills, specialized knowledge, or work experience.

-Jim Collins, Author of Good to Great

In his bestselling book Good to Great, Jim Collins makes the argument that the truly “great” companies are those that emphasize character and a shared set of values (which we can also think about as culture).

A strong and cohesive company culture is something that most people agree is a positive thing. However, the reality of trying to assess and shift organizational culture can be much more daunting. There are three major challenges that organizations face in this process:

  1. Identifying the traits, characteristics, and mindsets that are central to defining the organizational culture (assuming that the company’s culture is indeed positive)
  2. Replicating the desired culture in future hires (as well as developing those characteristics in current employees)
  3. Considering culture in an inclusive way

Knack is helping companies and organizations all over the world accomplish these goals through our neuroscience games. You can think about Knack as a cultural fit assessment that will help you understand organizational culture in a data-driven and unbiased way.

Let’s take a look at how a Global Beverage Distributor reshaped their organizational culture:

organizational culture

Using internal metrics, this company grouped employees into two buckets: “non-fit” and “strong culture fit.” It turned out that roughly half of the employees were “non-fits” which lead to a variety of issues including increased turnover and lower employee productivity.

Using Knack’s neuroscience games, this company was able to correlate their organizational culture to Knack’s predictive algorithm framework. 

This allowed the company to identify candidates who were “strong culture-fits” in a data-driven way.

Finally, because Knack’s algorithms eliminate bias according to gender, race, age, and ethnicity, candidates from all backgrounds and walks of life were on equal footing.

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