The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Mike Brown no published score: only 1 usable exchange on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Partly raw tape D 3 · C 3 · P 3 · Cm 2 2.85

Q are ready to go. They're green in a lot of ways, but they don't want to go to consulting and banking anymore. They like the idea of dropping into like small businesses, having more ownership control, et cetera, et cetera. Can you kind of tell me kind of the story of that and your, your discoveries around that and where it works and where it doesn't and things like that?

A Our lens on everything, right? Just to sort of like to understand the framework was the Toyota production system. It was all about applying technology and people, right? And how do you keep making things repeatable? We looked at the tech enabled factory and how do you make everything really, really, really repeatable and tech enabled? And so for us, so, so when that, like, if you inspect, so the, like the leadership component of building our team shares, so we said, okay, what are going to be as we scale, how are we going to be able to predictably and repeatably like bring in Successful, high quality leadership candidates every month, right? And the places that are natural to look and think through that are, you know, firms like consulting firms and sort of on campus business school recruiting because there are, you know, for people who are less familiar, like there's a repeatable funnel of people graduating. There's a repeatable sort of class of people.

AI assessment note: “how are we going to be able to predictably and repeatably like bring in Successful”

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