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 →

Grant Stannis 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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Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Interesting. Okay. And I want to get some of the backstory here in terms of, right, will you join in the future? Then for today, then talk about AI into the future. Before we do that, though, get my audience in the right realm in terms of what you're charging customers on average per month.

A Yeah. So we, on average, I think per user today, uh, it's a little bit less than, I think it's like 79 dollars if you want our top end package, give or take. Okay. Um, and what that comes with, actually I take that back, it's 99 with AI. But the aspect is, and that's per user, right? So we do, we're doing AI differently than some of our competitors. So we're not trying to do it on a session base. We're not trying to do it on a volume base. What we're trying to say to you is like, hey, get your users to be better. And more efficient and really drive what you're doing, go deeper within the organization and spread that AI across the board. And part of that aspect is that we sell to a lot of small and medium sized businesses. And so as a result of that, they're not trying like the enterprise customers to say, Hey, I got 3000 support reps. I want to take this down to 2500 next year, right? If you're growing SaaS organization, what you're saying is I got 10 support reps and I don't want to add an 11th next year. What I will add is more experience and more costs. I've got five CS reps. CS is like our number two users in our platform, right? Like how do you drive those from a different perspective? And so that's what we're trying to do with our, our price volume. And so on average, we're picking up the, the support, the CS, as well as, uh, probably some of the product folks in some cas…

AI assessment note: “I think it's like 79 dollars... actually I take that back, it's 99 with AI”

Partly produced feed D 2 · C 2 · P 2 · Cm 2 2.00

Q Okay. And give me more about your background before you joined this business in 2024. What were you doing?

A Yeah. So I started, ironically, I always tell people I started my first career in politics. Before I got some good advice from one of the comptrollers here in the state of Texas, that if I wanted to make money and not go to jail, that I needed to get the hell out of politics. So good, good, good business, great companies that we just need to come in and took it kind of from, you know, three percent to 30% growth in a very short period of time. And then, you know, here at team support, right? Again, like we're going through this really crazy AI transition transaction world, right? And support. And it's been a really fun journey to go through. Um, with what we've been working on. And so that's been a really fun lead. One of the things you'll hear about my story, and I'm very different than sort of some founders is I'm a firm believer in profitable growth. And so we don't take on, you know, debt or capital to go raise, to go drive, you know, uh, incremental growth in the business. What we do is we've source funded ourselves through our customers of growing them time and time again, from that perspective.

AI assessment note: “I started my first career in politics”

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