Building an Intelligence Engine
The Conversation Factory
What Makes a Tough Interview?
The host of the unmistakable created podcast talks to Yteli Shinevas ra about being a terrible interviewer. "I choose people based on how interesting i think their story is, you know," says Tim O'Brien. He also explains what it takes to ask good questions and show that you understand your subject.
We talk about podcast interviewing (meta, I know!) and we unpack a topic that's close to both of our hearts: creative output.
One of my early podcast episodes was with Sara Holoubek, CEO of Innovation Systems consulting firm Luminary Labs. Sara introduced me to the idea of having what she called an "Intelligence Engine'' - a process by which organizations turn insights into action and action into opportunities, not just every so often, but consistently and regularly. It's not a dissimilar idea from Jim Collins' "Flywheel effect" in that, ideally, you tune up your engine often, and even upgrade it when you need to.
One of my core beliefs is that conversations exist at different scales, and that they act in similar ways at these different scales. I also might take the idea of a conversation too far…in that I feel that any iterative, adaptive cycle is, in essence, a conversation.
So, Sara's Intelligence Engine is essential for a healthy, growing company's conversation with the world - after all, intelligence at the product and/or organizational innovation level requires a consistent cycle of making or creating new things, testing or trying those things out and reflecting on how it went, ie, harvesting insights. That's an innovation conversation, at scale.
That cycle is pretty much the same at the level of the individual. We all need to seek new input, make and try new things, and then reflect and inspect the results.
Serendipity Engine vs Intelligence Engines vs Curiosity Engines
As with organizational intelligence, individual intelligence engines need to have a balance of intention and wandering. We need to be actively seeking new insights and ideas that matter to us, while also being open and curious about the unexpected. So, having a curiosity engine, like my guest Glenn Fajardo suggested in our episode on connecting remote teams, is a powerful way to rev up your intelligence engine, for yourself, your team and your organization.
Managing the flow of input, insight, and output
If there is one key takeaway from this episode, it's that the open/explore/close // diverge/emerge/converge ARC of our own intelligence conversation is input-insight-output.
Srinivas' top tips for building your own personal intelligence engine:
- Limit your Input
- Diversify your input
- Read books, not articles (they've digested complexity already!)
- Use a networked tool to capture your smart notes (srivas recommends Mem.ai which I also use!)
- Reflect and Connect dots regularly
Monotask to reduce the cognitive costs of task switching (check out my friends at Caveday and use the code 1STMONTHONE to get month of community-based monotasking support for $1 or use TRYACAVE21 to get your first cave free)
Head over to theconversationfactory.com/listen for full episode transcripts, links, show notes, and more key quotes and ideas. You can also head over there and become a monthly supporter of the show for as little as $8 a month. You'll get complimentary access to exclusive workshops and resources that I only share with this circle of facilitators and leaders.
Links
The Unmistakable Creative podcasthttps://podcast.unmistakablecreative.com/
Sara Holoubek on Human Companies and Solving Problems that Matter
Three Systems Every Creator Needs to Build by Srinivas Rao
You're Not Listening by Kate Murphy
The Life-Changing Science of Detecting Bullshit
Effortless Output in Roam course by Nat Eliason
How to Take Smart Notes by Sönke Ahrens
Maximize Your Output course by Srinivas Rao
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