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 →

Lori Brewer 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 And now what is LBAware? For those not familiar, what do you do and how do you make money?

A Sure. So the mortgage industry is a complex, uh, Vertical, and we operate only in that vertical. We provide staff systems, um, that are back office, uh, products. So, the Comp and Safe, our main product, is built around managing the sales performance and analytics of the loan originators mainly, and then paying them compliantly on their loans. The mortgage industry is traditionally a commission-based Industries. So they, and after 2008 and nine, there are laws, uh, within Dodd-Frank that they can only pay in certain ways. They can't pay on the revenue of the product, but they can pay on, uh, the production of the product. So we, we have a business engine, business rules engine lenders can use to facilitate how to encourage, um, and motivate their sales staff and then pay them commissions.

AI assessment note: “built around managing the sales performance and analytics of the loan originators mainly”

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