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 →

Anders Fredriksson 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 5 5.00

Q Okay, fair enough. So, so you raise the capital, you do the acquisition summer of 2017, you bring on a co-founder, uh, let's keep going forward here up to the acquisition. So, did the brisk.io acquisition just not work? What happened?

A No, no, no. So that, that worked well, and we, and we were building and growing quite well during the accelerator. At the same time as we were sort of, uh, going towards a demo day for the accelerator, we were approached by Outbound Works. So during Dreamforce, I had a beer with, um, Outbound Works founder, or one of the, one of the founders, Ben, and we were talking about our different strategies and goals for our companies, uh, and we realized that we were Essentially trying to achieve the same thing, which is automating sales development. They had taken a, a slightly different approach from this where they were attacking it from a, a services perspective and we attacked it from a technology perspective. So there and then we decided that, okay, let's try and make a, a acquisition work.

AI assessment note: “No, no, no. So that, that worked well”

Answered produced feed D 4 · C 4 · P 3 · Cm 3 3.60

Q Yep. So let's finish that story up to right before the acquisition. So starting off, well, finishing 2017, about 200,000 dollars in ARR. Where'd you finish 2017 at?

A I don't remember, to be honest, like the exact, it wasn't, uh, it wasn't, it wasn't incredible growth in terms of revenue, because we had, um, a major problem, which was part of the decision to sell, actually. So, um, the way I like to describe it is that we developed this sort of, imagine that we built this, uh, perfect race car, um, that was like, you know, race tune Ferrari that was perfect for driving on the track. Um, but the problem is that we were selling it to people that just got their driver's license and couldn't really, didn't really know how to drive that product. Um, so that was like one of the main reasons why we wanted to, um, see what we can do. And, and maybe, uh, I'm not sure. Do you want to go into that right now?

AI assessment note: “I don't remember, to be honest, like the exact”

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