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 →

Alan Versteeg 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.

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1exchanges match
1on raw tape
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Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q rates and these kinds of things to then take a step back and go, yes, those things are important, but the people are, are more important in a way. So as you said, um, being able to combine data and people, how do you get companies to, to kind of change the way they think so that they can combine those two and make them as important as the other?

A I think that's so important, and I love your curiosity for data. I share the same curiosity for data, but it's the curiosity of what the data is telling me. It's not that the data is the truth. So when you look at a conversion ratio, you're not going, our conversion ratio is wrong. We need to improve it. You're going, our conversion ratio is wrong. What's the root cause of that? What do we need to change in our behavior? And, you know, I'm going to give your guests a profound piece of advice. I say tongue in cheek, but never in the history of mankind has a human behavior changed when you change a field in an Excel spreadsheet. Right? So the reality is the data is data points, it's data sets, it's evidence. And as we get machine learning and AI and big data, all of these things add more insights. But the idea is not to drown the information, is to find the insight. And the insight is what can we go do more or less of starting, stopping, that's going to shift the behavior. To do that, the number one thing I have to do in the organization, Sean, to change this, is I have to change the sales management conversation. The data is an input to the improvement. The data, talking about the data doesn't change the data. You know, Ellen, you're a temp, you're a 90% of your target. You need to be a hundred percent of your target. I believe in you. Go make it happen. Change is nothing. I've …

AI assessment note: “the number one thing I have to do... is I have to change the sales management conversation”

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