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 →

Chitong Leong 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 5 · Cm 4 4.85

Q That's great. Okay, good. And, and give me more of the backstory here. So it sounds like you're, you're, you're, uh, you know, very decorated from an academic perspective. What year did you launch the company and why did you decide to jump in full-time as a full-time entrepreneur?

A Yeah. So my co-founder and I started the company and incorporated back in October, 2016. So we're about a year and just over a year and a half, almost two years in. Um, we were previously working together at Gallup on the regional leadership team. So, uh, we had a lot of experience working with your fortune, 500 companies, um, running their employee engagement programs, trying to help the large companies get better at managing their people. And, uh, a big part of our revenue base at that time was, uh, just figuring out like large scale, um, employee surveys. Uh, and it's, it's amazing how, how complex these things can be. Uh, and you think that anyone could just throw in, like, SurveyMonkey or some free tool and run that across 20,000 people. And, um, we, we found in our experience anyway that Uh, that's not really the case. You, you gotta worry about things like reporting relationships, matrix structures, um, different kinds of validation when it comes to the survey questions, uh, different cuts of data that might, might cut across different, uh, segments of the employee population. And to, in order to, to build that at the, at the, at the Fortune-Five-Hundred level, um, essentially it was very heavy. It took a good, like, nine months essentially of, Like three to four, uh, team members within HR, um, working about 60, 70% of their time and another scattered scattering of like…

AI assessment note: “my co-founder and I started the company and incorporated back in October, 2016.”

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