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 →

Chris Hexton 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.

clear all ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 4 · C 4 · P 3 · Cm 4 3.75

Q Yep. Yep. Fair to say. Um, good stuff. All right, let's, let's jump into some economic stuff here. So this is obviously a very competitive space. We've alluded to some other people in this space. What does your guys' churn look like, and how are you mitigating that?

A Yeah, I think we, you know, I think the thing about this space that's interesting is, You, for us anyway, working with companies where the setup is reasonably sophisticated. So, um, you, there's a lot of competition around wiping Vero and then getting that set up, but the good side of that is people are quite sticky, and I think working with mid-market plus companies, um, has been a really good thing for us, because those people, you know, they're really invested in this. So the trend for us is not Um, not too far above the average, uh, in the, in the cohorts we want to keep, you know, the average SAS churn, which I would say people are aiming for like two percent a month, so.

AI assessment note: “the average SAS churn, which I would say people are aiming for like two percent”

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