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 Kenton 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.

clear all ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q Did you get it? Did you get it funded and wired before the crash or no?

A No, actually the best piece of advice I got, one of the partners took me aside and said, uh, you can take the money, but you need to understand the clock doesn't stop ticking no matter what's going on in the marketplace. And he said, my best advice to you would be to, uh, you know, step away from the table, go focus on your customers and For the next year or two, see where the market lands, and then come back when things turn around. Um, and that's what we did, and lo and behold, what we found was that focusing on our partners actually turned out to be a very sustainable way of doing business. Uh, we, uh, did that, uh, all the way up until, uh, I guess about Three years ago, uh, you know, where that led us, um, in order to expand our business was partnering with some of the big, uh, companies like PwC and Deloitte, where we were providing tools and services to them to scale, uh, collection of market intelligence from social data. Um, and over time, what we realized was the same information that we were providing to the corner office to help them understand large scale movements in the marketplace, product strategy, that kind of thing. That if we exposed that same information to the salespeople on the front line, that we could actually have a bigger impact on the business.

AI assessment note: “No, actually the best piece of advice I got”

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