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 →

Matt Dion 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
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Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q Okay. And, and then, so, so help me understand when you buy a company, how do you decide what to sunset and what to double down on?

A Um, yeah, well, basically we looked at the, uh, basically we looked at what customer usage, right? And what, and what people wanted. And so what we decided to sunset is, is we had a, um, Uh, legacy. Well, what we think of as legacy SEO products. So the traditional SEO, uh, analytics platform. And we actually decided that, uh, we wanted to, there were two parts to Gship. One was this SEO platform and one was this tracking capability. So the ability to put a unique URL on every piece of content that goes out through every channel so that you can see the engagement. Um, we felt that SEO was just changing so quickly. That we actually, um, morph that into another product that we're going to be launching this year, which is using more machine learning to actually proactively optimize the content before publishing it versus the traditional SEO is to publish, let Google crawl it, see how you show up in the search results, tweak it. You know, it's a very slow manual iterative process, and so we actually, we sunsetted the traditional, uh, Platform, but we actually took the know-how and the technology and morphed it into a new product that we're going to be launching this year. So it was really just where things are going and where we saw our customers getting value. And that's what we decided, uh, where to invest and where to sunset.

AI assessment note: “basically we looked at what customer usage, right? And what, and what people wanted.”

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