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 →

Arno Belenga 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 4 · Cm 4 4.60

Q MRR update and I said, I love, people are always scared to come on the show when they're smaller. But the thing is most of my audience is just starting their SaaS company. So they love stories like this. How do they get your first customer? So you start off with one price point. Uh, how did you, and when did you know that you needed to double the pricing?

A Yeah. When, uh, when I was on the calls, uh, with startups, um, uh, tech startups or, um, traditional SMBs and they were like, um, man, why your pricing is so low? Um, I don't understand. You showed me the product. Uh, it was great. Uh, it works. Um, you've done an incredible job in a short amount of time. Uh, why is it so cheap? Um, what's the trick? And then some, some people were just, um, we had some paying customers that turned really quickly. Uh, and they were custom cheap customers, I would say, and then realize, um, you know what, let's try to double the price and see what happened. And then we, we had, um, a better retention of customers and more quality customers.

AI assessment note: “they were like, um, man, why your pricing is so low?”

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