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 →

Benjamin Ellis 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
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0redirected or not addressed
Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q Interesting. Okay, so you've got a couple of products, SurveyOptic, this before that, Decisioneer, Milestone, Planner. Are these all serving the same customer base or they're all different cohorts?

A So they, there is a, there is an overlap and they're all different takes on that, that same theme. So milestone planner takes people's goals and presents that back as data. Uh, this before that helps people map out the dependencies. So it's all about getting things out of people's heads into a web-based dashboard where they can look at that and make better quality decisions and interact around it, right? So you can get the whole team to see kind of what's inside your head. And then Sede Optic, which right now is our fastest growing product, Um, is a, is a more general exposure of the platform. That's a SAS product. Let's people take any question set and turn that into something that gives you real time data that you can present in the dashboard. So it could be customer satisfaction. It could be employee engagement, and it kind of drives the team then around those metrics.

AI assessment note: “there is an overlap and they're all different takes on that, that same theme”

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