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 →

Sam Senior 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 5 · P 5 · Cm 4 4.85

Q interview is next week. Uh, Kirish came on before their IPO with Freshdesk and Brian Noggin came on pre-IPO from HubSpot. So I've got, you also have Help Scout, Trengo, uh, and that crew as well. So this is cool. So you're going to, I love how you're, you're going to sort of focus on a niche here and dominate the niche. Why customer support software though? Why start there?

A So my co-founder and I actually, about 10 or 11 years ago, worked as IT help desk agents. So we just understood Understand the use cases that really matter, but it all got kind of coalesced around this experience actually, where someone close to me had previously bought help desk software and I watched how painful that experience was. And I basically interviewed her the entire time to understand what the major pain points were and how we can make it better. So those two experiences together said, let's start there. Plus it's a hugely growing market. That's like 10 and a half billion today growing at 10 plus percent and it's getting more and more important. So it's also a good niche for that reason.

AI assessment note: “So those two experiences together said, let's start there. Plus it's a hugely growing market.”

Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q And what numbers do you care about right now? Like waitlist size? Like tell me what you care about.

A I think there's two major things for us because we're essentially building a marketplace. We need to be building both sides of that. So the big one of just like continuing to build partnerships really matters. So I'm trying to pick up a new partnership every month at the moment. So we have that supply side of the market. And then on demand side, it really is just like how many signups can we be generating? Weekly, monthly basis. And then once they're in, how quickly can we get them to a decision? Is it going to take three months like it does today? Or is it going to be like a, like a recent, uh, converted customer where it took them two weeks? And that's a significantly better process than they go through at the moment.

AI assessment note: “I'm trying to pick up a new partnership every month at the moment.”

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