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 →

Mahir Iskender 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 4 · P 4 · Cm 4 4.30

Q Give us the backstory. When did you launch the company? What year?

A We launched it actually January, two, 22, but, um, giving the back story would be going back all the way back to 2018. Um, I haven't told you, but you know, this digital was born out of my retail business. You know, I have, um, fashion retail that I launched, uh, back in 2012 together with my wife. And we have been managing two stores, um, and in 10 to 15 people in each store. And, um, As excited as we were as an entrepreneur, we were signing up different applications at the time. I'm going back to 2018 and I had really hard time managing this 30 people, approximately 30 people, um, team. And one day I was just sitting in front of my, my FICO score or credit karma. You know, I was checking my score and I realized that how automatically they're making me to, to make the payments on time and, you know, making sure that, uh, you know, my balance are paid off. And also making sure that I go and open another credit card so that my score goes up. So using that, you know, I, I realized that we were kind of influenced or by these companies, um, through the psychology and, and habits of paying, paying on time. I realized that I could use this for, to manage my employees, getting them engaged with the applications that we use, um, getting engaged with their colleagues because they were not Responding to each other on time.

AI assessment note: “We launched it actually January, two, 22, but, um, giving the back story”

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