Proof That A Knowledge Repository Is Exactly What You Are Looking For

After posting, “Four Workflow Strategies Everyone Should Implement to Increase their Productivity,” I received some useful feedback that inspired this article.

A few things worth addressing

1. The term knowledge repository is lost on people.
2. The idea of creating directories is fascinating, and people want to see specific examples.
3. People want to inspect a diagram of the workflow to get a sense of how the strategies connect.

Firstly, thank you for taking the time to read our articles and message your takeaways.

I’ll start with number one, the Knowledge Repository, and explain what it means for you and your workflow.

Remember when you were a kid, pre-cellphone era, and you could surprisingly remember a ton of phone numbers, and you had the uncanny ability to recite them in a cadence-like tone?

8 0 8 2 5 4 8 2 6 2

That was my home number in Hawaii. I remember sliding my fingers across the buttons of the phone sometimes before the muscle memory kicked in. Oh, and remember that one beloved black address book with all the contact information?

Yeah, that black book, that was my childhood version of a knowledge repository.

Gone are the days trying to remember more information than we need, and even then, sometimes we fail.

Now that we have mini-computers in our pockets, we forget those seemingly distant experiences requiring us to retain and recite our friend’s phone numbers. The new problem we face has to do with scaling; there’s simply too much information for us to manage in the digital age. One black book won’t cut it, so we have to create new strategies that support our efforts in today’s world and into the future.

To overcome overload, we have to get better at drinking from a firehose. Part of the dilemma is that we aren’t good at it in the first place.

I recently came across Engelbart’s law — the observation that a human’s natural performance rate is exponential. The law is named after Douglas Engelbart, whose work in augmenting human performance was explicitly based on the realization that although we use technology, the ability to improve on improvements “getting better at getting better” resides entirely within the human sphere.

Technology can’t replace creativity, and that’s what’s required to solve this problem.

Engelbart’s Dynamic Knowledge Repository (DKR)

DKR is a concept developed by Engelbart as a primary strategic focus for allowing humans to address complex problems. He proposed that a DKR will create a collective IQ greater than any individual’s IQ.

Pause. Two things 1. I just introduced the word Dynamic as in Dynamic Knowledge Repository 2. What does he mean when he says, Collective IQ?

1. Dynamic means that it is continually changing. That’s important to note because a knowledge repository isn’t usually static. In this case, when doing work inside an organization, the system has contributors like you and your team.
2. Collective IQ = Collective Intelligence, is shared or a group intelligence emerging from the collaboration, joint efforts, and competition of many individuals. Simply-put, CI is a group of people working towards a common goal.

Here’s a look at our Artificially Intelligent assistant working inside my note

The CI process in a DKR is where bundleIQ comes in — where groups bundle their knowledge.

Individuals have been collectively creating notes inside a workspace since we launched (click here to sign up). In 2020, we began putting the IQ in bundleIQ in the form of an artificially intelligent assistant that helps our users make sense of the massive amount of data in their ‘space.

Augmenting human performance is possible, and as a company, we are committed to making it happen. We believe that intelligence amplification can occur dynamically with a machine agent working alongside a host. As users input data into a note, our AI connects the dots in the background.

For example, ‘IQ can recognize that User A is talking about “dinosaurs” because he/she is typing content with the keywords dinosaurs, the ice age, tar fields, etc… As a result, ‘IQ delivered relevant insights related to these keywords in real-time.

Curious how it works? We could use your help!

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