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 →

Nancy Hua 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
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Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Yeah. Like, are you close, are you close to 10?

A We're getting there, but it's still like, I don't feel like it's that much easier. It's, I think a lot of it, um, is that the market has evolved too, because with, um, when we first started, very few people had apps that they were that strategic about. Um, and very few people were doing any kind of A-B testing. Um, I think that it was something that everyone aspired to, but not something that people viewed as really normal. And now it's like really normal. So the The landscape has totally changed. Now we're selling into companies like, I mean, our customers are now Starbucks and like the Wall Street Journal and stuff, whereas our early customers were mobile first companies like Hotel Tonight and Strava. So that's a pretty different sale and profile. So I think that caused us like to have a lot of learning and just, it's not like it becomes, it's not like the same sale as the earlier sales, you know, like we had to evolve a ton.

AI assessment note: “We're getting there, but it's still like, I don't feel like”

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