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 →

David Benigson no published score: no usable exchanges 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 produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q first year minimum, just minimum. You know, if I multiply that times one 50, that puts you, I mean, what does that put you at? Two 5250 grand a month at minimum, or about maybe, what is that? Three million annually. Um, uh, and you, you forex that year over a year. So if I go back to December, 2016, you were doing what, around 62 grand, something like that.

A Yes. I mean, we've, yeah, we've literally gone from about 40, 50 customers and, and, and more than tripled the customer base in the last 12 months. So that's been really an exciting journey of scale for us. And, you know, not only are we kind of selling to more customers, we're also demonstrating we can kind of upsell and expand those customers. So that's been, been really exciting for us as well. You know, we started in a beachhead of, um, applying our technology into corporate communications, uh, and enabling those teams to use us for kind of reputation monitoring analysis. Uh, and over the last kind of year and a half, we really start boarding out selling into other departments across the organization, selling into compliance, selling into what we call horizon scanning, which is spotting investment opportunities earlier. Uh, and so really we've not only been able to kind of scale the number of customers in the ultimate kind of top line revenue, but also kind of deepen the relationships that we have with, with, with enterprises.

AI assessment note: “Yes. I mean, we've, yeah, we've literally gone from about 40, 50 customers”

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