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 →

Kevin Wang no published score: only 1 usable exchange 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
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q Kevin, maybe you could talk a little bit about what were you doing before you got involved with Braze and like how did your app boy at the time and what caused you to join? What was going on at the time?

A I was working at Accenture doing consulting in the energy trading industry for a number of years prior to Braze. It was actually a fascinating industry. I am like as far as one can possibly be from it right now, but I sometimes still think about how it was really interesting, like You know, you can go and trade like a strong wind over Texas. This is a financial instrument that exists out there. And from that experience, I got the chance to work very closely with a very, very old school legacy enterprise software that was being used in ways that were wildly productive for these energy companies. And that sort of planted the first seed in my head of, I mean, you know, kids don't grow up thinking, man, I really want to do like enterprise SaaS one day. But from working with this technology, seeing how successful it was, um, I definitely got that idea that there was a huge amount of promise. And then that combined with observing from, you know, a completely different place, a completely different state from where Bill and John were, the rise of mobile, I was very, very keen on figuring out a way to get to a place where I could both sort of pursue the fact that I saw a lot of opportunity in enterprise SaaS, and also make sure that I was sort of catching these early side of Of the mobile wave that was blowing up. So Bill and I actually know one another from college. We were fraternity…

AI assessment note: “I was working at Accenture doing consulting in the energy trading industry for a number of years”

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