Esko Kilpi on Interactive Value Creation

The art of interaction, the design of digital and the science of social complexity

Tag: Habits

Pattern recognition, quantified self and big data

The creative era we live in is an age of unprecedented possibility compared with the industrial age. Major shifts are taking place: ideas matter more than money and as there are more people with good ideas than there are people with money, new opportunity spaces are being created. Industrial workers used to do as they were told. Today, knowledge workers negotiate solutions in active interaction with their peers. We also used to think that organizations outlived workers. The organization came first, and people served the organization. Today, workers´ careers outlive organizations, profoundly challenging our thinking. People have to come first, creating a revolution in work related social structures.

Companies are not managing their employees’ long-term careers any more. Workers must be their own HRD professionals. With opportunity comes new responsibility. It is up to the worker to construct the narrative of working life, to know what to contribute, when to change course and how to keep engaged – for much longer than we have been used to. To do those things well you have to develop a new understanding of yourself and what you are actually up to.

The schools and workplaces of the industrial era were organized on the assumption that there is one right way to learn, or to do things, and it is the same for everybody. To improve was to subscribe to this ideal, the goal somebody else gave you. After that, the task was to know where you are, and (try to) close the gap.

This is where the biggest changes are taking place. Instead of the industrial era’s generalizations and abstractions about what is good for you, or what five steps everybody should take, it is now time to cultivate a deep understanding of the context, the unique, particular situation you are in. Who are you and where do you come from? What kind of relations are the building blocks of your life? Reflecting on your reality should be the starting point of any effort to change things. This is also where we are often at our weakest. It did not matter in the past because most decisions were made for us. But now people can, and must, choose. The new task is to be able to make these choices on the basis of our own particular strengths and our own sense of belonging.

Most of the choices we make each day are believed to be the products of well-considered, rational decisions based on knowledge, but they are not. They are repeated patterns, habits. We are not conscious in the way we think we are; we do most of the things we do on autopilot.

Habits in an individual’s life are a natural consequence of our neurology. Patterns in the brain emerge because of repetition and learning. When patterns emerge, the brain stops participating fully in decision-making. The brain stops recruiting prefrontal areas, allowing consciousness and attention to be potentially focused on other tasks. The brain is constantly looking for ways to save effort. It is the same thing in organizations. A community is always a collection of routines and habits. The aim of these patterns is the same as in the brain, to make life easier and more predictable.

The problem here is that neither the brain nor the people in a tightly knit community can, in the end, tell the difference between a bad habit and a good habit. The patterns repeat in a self-reinforcing way. Repeating patterns, not reason, are the root of how we behave.

Although each situation means relatively little on its own, over time, the patterns of our life have an enormous impact on our creativity, productivity, health, well-being and happiness.

We all know that the primary thing that causes change is a major crisis! It may be the first heart attack or a sharp, deep drop in revenues. It is remarkable how fast people then find the ways to live in the right way, or how businesses suddenly start to deal with the “burning platforms” they could have tackled a long time ago.

I don’t think that people and organizations really have to wait until something serious happens to them to fix things. I believe that the productivity suites of tomorrow are going to be a combination of sensors, big data and quantified-self technologies. When used together, these create totally new opportunities for live feedback, daily reflection and iterative change. And, most importantly these opportunities are based on our own unique context and our own unique storyline.

Managing yourself is first and foremost about pattern recognition. It is essential to remedy the things you do repeatedly, that don’t serve you and the life you want to create.

It is about changing the focus from what we should be doing to what we actually do!

More soon!

Thank you Katri Saarikivi

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The foundations of social business: short path lengths

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New technologies give an organization the ability to reconfigure its form any way it desires. We are not confined to any one structure any more. The mobile revolution has changed the logic of the network. The Internet is no longer about linked pages but connected purposes. We want to do something – with the help of information and other people.

For optimizing information the best structure for a social business would be a random network. A random network has the shortest possible number of steps between any nodes. An example of this is performing a Google search. The key measure here is the path length. That indicates how far away from each other everybody is, on average. The path length measures how many steps a piece of information has to go through between people. To create short path lengths in a typical hierarchical or process based structure you would need to know almost everything and everybody included in the organizational chart.  You would need to have access to information that we typically don’t have in an organization of any size. Hierarchies and processes are thus not efficient ways to organize information based work. They are not transparent enough creating slowness and inefficiency. As a random network is not the easiest mental benchmark for an organization that wants to develop its information- and communication-related practices, another model has emerged to shorten the path lengths between people and information.

It is social filtering, curation.

There are very few isolated geniuses. But there are many bright people who have continued and improved the work of others. Capable people have capable predecessors, people who act as filters connecting people and high quality information. The key concept in the knowledge-based future is acknowledgment of the importance of these messengers beyond what we have been used to so far.

Social filtering, curation, is the new search.

In a sense, creative people are more remixers of other peoples’ ideas than inventors. Technology and development are not isolated acts by independent thinkers, but a complex storyline, where the storytellers and curators, are more important than the heroic inventors, if there ever were any.

We never know how the story will develop, but it cannot develop unless it continues. The new challenge for the creative economy is to understand the importance of attribution and giving credit. The first thing is to acknowledge the vital role of social filtering and the huge importance of the retweet.

Our attention is a result of the filters we use. These filters can be a mix of habits, company processes, organizational charts or tools. Increasingly these filters are social. They are the people we recognize. Our most valuable guides to useful bits of insight are trusted people whose activities we can follow in real time to help us enrich our views.

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More on the subject: The role of curators. Mesh networking. Jonathan Zittrain on mesh networks.