THE BEHAVIOR OF COMPLEX SYSTEMS, LIKE WEATHER, TRAFFIC, OR GROUPS OF PEOPLE, OFTEN SEEMS UNPREDICTABLE AND RANDOM.
IT ISN’T.
Science instead of superstition.
Culture isn't a fuzzy intangible anymore. For 60 years, the social sciences have refined large mathematical models that accurately quantify and predict how groups of people function and interact. Well known researchers like Daniel Kahneman didn’t get their Nobel Prizes for the fun books we all know and love, but for researching hard maths that make sense of seemingly random behaviors.
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With big data and machine learning, we now can measure and even predict team behavior with previously unimaginable accuracy. This requires a huge readjustment: our generations still grew up with many oversimplified ideas about temperament and character. Holding on to these doesn't just limit the ability to make good decisions, but also prevents leaders from perceiving the actual potential of their teams.
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This is why everything we do is based on evidence, scientific rigor, and cutting edge technology: we aim to work within the realities of your teams, not within a belief system. Our processes, tools and methods are designed around peer-reviewed research, not around a worldview. We never resort to guesswork, and we never hide behind jargon. Everything we provide you with is real – that's why it works so well.
Sociology instead of psychology.
Traffic cannot be improved by observing individual cars, weather cannot be analyzed by tracking individual raindrops, and the intricate workings of an organization can't be steered by focusing on individual psychology. Modern organizations are always groups of people doing things together, and their performance results from the interplay of their overlapping activities, not individual talent. That's why our focus has always been group dynamics instead of individual achievement.
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This is, of course, significantly more challenging: While psychology can measure a bit more than 100 traits of individuals, sociology can quantify almost 600 properties of groups. This is to be expected, since a group of people is significantly more complex than a single person – it combines the dynamics of each individual with all the ways they can influence each other. Understanding this is elementary to understand how teams truly work and how to craft a sustainably productive setup.
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The key to a productive organization is therefore designing and running social systems that stimulate and sustain certain desired behaviors, and not fostering an individual's capability only to drop them into an environment where their fancy new talents can't unfold. The social environment of a team is not only a stronger determinant of employee behavior than individual personality, but also significantly easier to design, build, and adjust.
Technology instead of bias.
Doing the thorough analyses we do is practically impossible without advanced technology. It seems absurd to us that consultancies still do their data evaluations in Excel, where errors and bias abound, and modern pattern recognition is unthinkable. Why don't they build a fully automatized, machine learning diagnostics app? Like we did?
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When working with us, you get immediate and full access to our easy to use and fully science-based analysis tool, and to all of the data from your organization. You can either lean back and let us do all the work, or to dive in yourself, whether it's to take the million-mile view, or to delve into the details. We only need 20 minutes to show you how. Yes, it's that easy.
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There's more: you don't just get access to diagnostic data, but also to our extensive and continuously updated library of academically validated and proven solutions to the most common problem constellations. You don't even have to look them up by hand: our system pairs your specific patterns with the most effective interventions. You can start acting on the most critical issues while we're still designing your grand strategy.
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Even though our clients love it, we didn't build this system for them, but for ourselves: we know that machine learning systems can recognize problems and potentials that even the most experienced experts would miss. It enables us to show you the most effective path ahead: our interventions have a proven effectiveness of 91%.