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 →

Kyle Porter 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 5 · P 5 · Cm 5 5.00

Q so for example, job change alerts, right? You credit a lot of, I mean, that was one of your experiments, right? Um, some of these things, like they, one helped you learn how to basically get to where you are today, but also I think a lot of them were also potentially lead gen. So Tell me about one or two of those early experiments between 2011 and 20 14.

A We had all kinds of things. We had the job change alerts product, which would link up with your CRM, see all the contacts that people cared about, look on LinkedIn to see when they change jobs and alert you about it. We had news alert system. We had this stream. It was like Twitter and you'd open it up and it'd be all the news articles on the companies that you cared about that you were selling to. We had the data product, which was the easiest way to build the most accurate and targeted list of prospects in the marketplace. But really none of those aligned with the vision of what I wanted to do for the purpose of this company. And they generated revenue. They generated leads. They learned, they taught us a lot in terms of product management, in terms of culture, in terms of what customers need. Uh, but at the end of the day, we started looking at what the best sellers were doing and they were communicating with their customers in an authentic, sincere, but repeatable and scalable way. So we decided to build an entire platform for that. When you look at sales.

AI assessment note: “We had the job change alerts product, which would link up with your CRM”

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