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 →

Don Simpson 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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2exchanges match
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Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Yep. Yep. Yep. Do you think you can, you can hire 10 AEs and sort of follow those same economics?

A Well, I certainly hope so, you know, because we did, we've done this, um, Kind of one iteration of our business was outbound demand gen, BDRs. You know, we worked for companies like Xerox in the nineties doing that kind of work. We worked for like Microsoft in the nineties doing that kind of work. So we have that in our DNA. So I'm, my thinking and focus is, is we should be able to go after, um, you know, the market we're trying to serve with a, with a pretty, a pretty clear outbound approach. It was about 8000 companies that we identify that have 50,000 plus Visitors, uh, a month on the, on the, and traffic on their website.

AI assessment note: “Well, I certainly hope so, you know, because we did, we've done this”

Answered produced feed D 5 · C 4 · P 4 · Cm 3 4.15

Q I see. I see. Okay. That makes way more sense. Got it. So, I mean, what's the team look like today? How many people?

A Well, we've got eight FTEs and, um, you know, we've, we, historically what we did is we, you know, we had a team, uh, in India that was part of the market link business. We actually had a few iterations on this. It took us about four or five years to really figure this out and make it work to the point. To make the technology work and lift AI where, you know, it was, it works and it's accurate and, and, and to be able to operationalize based on, you know, the, the, the scores that were gleaning from the technology, um, to, to really make it sing. It took quite a few years. It wasn't like we just said, Hey, we did this overnight. Um, and we had a fairly significant team in India. We outsourced a bunch of, uh, of the development to a team in Russia, and then just kind of over the years, As we iterate, we got to the point say, okay, this product is, you know, this technology works and it's good. Um, but now we've got a pretty small team internally just to continue to fine tune, um, while we see and try to find that product market fit.

AI assessment note: “we've got eight FTEs”

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