Outlearning Ai: How Small Wins Beat "Big Data"

How do teams outperform AI?

If your value is ‘I can think (search/ research) my way to a decent answer,’ AI is already competing with you.

This session is about what still gives you an edge. We'll practice how to turn ambiguity into action using small, fast experiments (“Weick-sized wins”) that generate real insight

You’ll leave with:

A simple way to break stuck problems into testable actions A clearer read on where your team is actually stuck One experiment you can run immediately to increase learning velocity

Part 1 — 3 min intro and chose from among 6 to 4 4-min segments (~20 min total) Part 2 — Practice (12 min) - Exercise: “Act to Learn” Work in pairs: Pick a real ambiguous problem (something that annoys you both at work that you'd like to change, but don't see an obvious 'fix')

We'll apply what we just talked about to

Define: 1. one small action (reversible) 2. what it will teach you 3. what decision it unlocks 4. When you can test it next (within a week or less!)

Part 3 — Feedback for you (5–8 min)

Peer critique using the following questions: Is it safe enough to fail? Make adjustments! Is it fast enough? Make adjustments! Does it actually reduce ambiguity? Make adjustments!

Feedback for me: One-line takeaway for the session [3x5 cards!]

~~ Check out my bio for more information, hit me up on LinkedIn and mention MinneBar if you want to chat.

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