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 →

Babak Hedayati 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
1redirected or not addressed
Not addressed produced feed D 1 · C 4 · P 3 · Cm 4 2.85

Q Okay. Perfect. So you put money into tap clicks. When was year one of the company?

A It was. And we started as a neighborhood solution that we wanted to productize kind of like next door before next door. And what we found out is that instead of being one supplier of one type of solution into the marketplace, in the social space, it's better to really go after the infrastructure play. Cause there were thousands of different companies like that. And when we went to the media companies to productize that, uh, and white label it, they said the real problem is how do you deal and understand the effectiveness of all the different marketing tools in the marketplace? I had a lot of experience with that as a CMO and those other companies. And I really felt like I could make a difference by creating a unified platform that brings the data and the visualization of marketing together.

AI assessment note: “we started as a neighborhood solution that we wanted to productize”

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