Why does humanness in decision-making matter?

Photo: Person looking at a board with thousands of post it notes. Only uniquely human skills are able to find connections between .

The concept of putting humans at the core of our decision-making process is nothing new. From Kellogg's development of cereal with feedback from the patients in the late 19th Century to the introduction of focus groups in the 1940s, we’ve always sought the views of the collective to make the right choice going forward. Even now, we scour the internet for other people’s experiences or knowledge to figure out what is right for us.

Decision-making 1.0 – market research

Humanness in decision-making isn’t as simple as asking a person, however. It’s about understanding the quality of being human—what really makes us tick. 

The trouble with many of the qualitative research methods mentioned above is how they relate to actually making the right choices going forward. Many of these methods work in a very short and isolated manner. They often produce the wrong kind of input to longer-term thinking or areas where things are changing rapidly and seldom consider the next new thing that will shift the game. In this world, different styles of input are necessary to make unbiased, future-oriented decisions. 

Human bias enables us to understand the world around us and protects us from the unknown. Bias is necessary in many ways, and we all exercise many types of bias in our day-to-day lives. The problem is when you have too many ideas stemming from the same biases. You end up with an echo chamber where actual innovative decisions are replaced with something much more one-sided. 

The next challenge we face is gathering and processing information. Granted, the internet has made collecting data much easier. However, information is scattered and can lack context. This makes gathering the data that is of actual relevance and then analyzing and extracting understanding a herculean effort. 

But why is this? 

Decision-making 2.0 – tech in decision-making

One reason is our reliance on similar, relevant and related, technology-sourced ideas of what something looks like. Another is that human ingenuity creates new directions for a whole field.

This means searching for ‘related’ is not as easy as it sounds. For example, what some may call strategy is known as business design in the creative world. Those two worlds may never find each other until the technologies make the connection. 

There’s no doubt that AI makes those connections easier. We’re increasingly using AI to help us make choices in our personal lives (think Netflix recommendations—even so, they're not always the best suggestions). AI is even being used to streamline processes in the workplace for better business decision-making

However, while AI’s integration into work processes can result in more effective decision-making, there’s no way that an algorithm can build upon information that doesn’t yet exist, reassess rules to consider the exception or understand the impact of an unexpected anomaly. That’s where our human ingenuity comes in.

Decision-making 3.0 – humanness in decision-making

Humans create discontinuities. When we consider what might be, we do not rely on past data alone. When we consider what is in our essence as individuals or systems, our humanness, we utilise our human ingenuity. Sylvain Duranton makes a compelling argument for this in his TedTalk back in September 2019. 

The reality is that even in this modern age, understanding our shared humanness remains fundamental for better decision-making, even with all the wonderful messiness that we bring into the process. At Hunome, we want to help the world make better choices. To see how we do this, sign up for Hunome and add your perspectives to the thought networks for multidimensional shared understanding.

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