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 Byers 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 4 · P 4 · Cm 4 4.00

Q Got it. So three, four, five users. That's where you get your 6070, 80 buck ARPU on average. Okay. Interesting. So taking back to 2006, where was your head at that point? Did you just, you know, you know, quit your corporate job because you're frustrated back against the wall. No money had to make this work. What were you thinking?

A Yeah, so I'm in an interesting scenario where, uh, uh, an old business partner of mine and I, we had a software company, uh, what is nearly 20 years ago now, and he actually started Formstack and, uh, then started a second business in 2009, and I had helped him kind of raise money and was an early product user, and so I said, hey, I'll, in 2009, I said, I'll come in and run the business, uh, for six months and find somebody to run it long term, and then I never left. So, uh, you know, the, in the early days, it was all about, uh, how do we just Empower other people. I mean, here, here's the thing. You're, you're an entrepreneur. You know how to solve most of the problems that you're trying to solve. You just don't always have the technical capability to get it done. And so where we can give you software to get that done, because you don't really need to go pay a custom, you know, for custom development or something like that, where we can kind of give you those assets in your hands. All of a sudden you've got a power that you didn't have beforehand and, uh, you know, can kind of get the job done. So it from day one was about making people's lives easier in some way. I know.

AI assessment note: “in the early days, it was all about, uh, how do we just Empower other people.”

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