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 →

Graham Blake 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
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Answered raw tape D 4 · C 4 · P 2 · Cm 3 3.35

Q And in the last, uh, you know, eight months since you have been with Merlin, what is the biggest pain point that the customers tell that they face in this industry from a technology perspective?

A I, I think it's actually, I think it's, um, they run up against a moment where they understand that it's not necessarily that technology and that there is some fundamental gap or lacking in their own business system. And I think what's really important for customer, you know, for companies like ourselves that have, you know, carry the power and the potential of this tech and have commercialized it. Um, you know, our go to market really needs to figure out and work well with that, those customers to help them You know, bridge that. I say we, you know, we're talking about the, um, the production layer, the manufacturers, you know, the small businesses essentially that are powering all this output. Um, we need to be very real with them about how to bring them into, you know, a way where they can leverage the tech for what it is. And, um, and so I think again, as a, as a company, that means that we're, we have to be always focused on bringing in not just the tech, but the knowledge and the ability and sort of leveling up Or helping our customers to level up their thinking around that. So I say, I think that's, it's no longer an adoption challenge. It's not, it's not an objection. Um, it just, um, there's some contradiction in, in the way these businesses operate today. That means they need to adjust to, to really get the benefit. And I think that's where collectively we're heading …

AI assessment note: “there is some fundamental gap or lacking in their own business system”

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