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 →

Andrew Yates 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
0on raw tape
0redirected or not addressed
Answered produced feed D 4 · C 3 · P 4 · Cm 3 3.55

Q which they won't, but assume they stay flat and assume burn also stays the same. You've got basically enough to keep, keep going for two years. Yeah. Awesome. That's great. Andrew, last few questions here about, about customers. You have obviously a large cohort of customers. So these questions are viable. I think, uh, talk to me in terms of CAC, what are you paying to acquire a new customer?

A So, um, we're tracking on, on around about one X in year one, which I, I, I, you know, I, I believe is, is, is world-class, you know, the things that are really important to us, tracking overall growth, um, cost of acquiring a customer, uh, net churn and gross churn, net promoter score. Um, you know, one of our secret weapons is that we, we, we use, whilst we might use, We use machines to drive the smarts. We use great people to drive adoption. So one of the things that's a bit different about Artesian is we've got a gamified method inside the platform which measures and guides seller behavior and encourages the best behaviors, and it's called a social seller score, and it's also generated every 24 hours, and we use a combination of What the system's telling you, uh, you should be doing, and then, you know, some customer relationship management methods that we borrowed from our friends at Salesforce to really, um, keep that, um, average daily user engagement high. We're running at around about 89% average daily user engagement, which for a, for a, for a tool set or platform in our space is, is, is really, really high.

AI assessment note: “we're tracking on, on around about one X in year one”

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