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 →

Eric Turney no published score: only 2 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 ✕
2exchanges match
2on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q Dialing in their processes. Like, is it something that you can see happening on the call? Is it something that takes time and this is a process based thing that you're talking about?

A Yeah, no, that's, um, yeah, it, it's kind of been an evolution really. Um, cause we, we like to hop on video calls with them at least once a quarter to check in and, uh, and we work with about eight different manufacturers overseas. Most of them are in China. We have one in Bangladesh, one in Vietnam. Um, We've seen their process go from. 20 workers sitting at a table hand filling enamel pieces. Uh, sometimes as many as 50 in like white coats. Um, just sitting there in like these big dust free facilities. Um, cause you don't want like a speck of dust to hit the enamel. It'll create an imperfection. We've seen that go, uh, Move to these. For lack of a better word, like robotic arms to where they fill the enamel. When these machines, they set them all out on a tray, put them in and the machine actually fills it automatically. Um, that evolution watching was in our industry, like, um, a massive game changer over there. Cause. Yeah, you, you're taking 50 workers and now you need five that can do the same process and the level of, there's imperfections with, um, hand filling enamel. It's just the human nature and you can get it to a T with these enamel, enameling machines. That's, that's one piece we've seen. Um, Really, really, uh, really be a game changer over there. So, and I'm excited to see what like the next process is, um, over there for manufacturing.

AI assessment note: “it's kind of been an evolution really. Um, cause we, we like to hop”

Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q So you were saying you're, you're not just helping them to work with the automation of their production lines, but also with the business processes. You're talking about order management and things like that. Why don't you talk about more about that?

A Sure, sure, sure. Um, uh, like on our end, um, We will send, um. Like when a customer gets ready and places an order with us. We send a purchase order over there and they, they be in production, um. On the order as far as managing that order on our end, um, a lot of the products that we produce take time to produce, um. Some of them as much as six weeks. So managing. Hundreds and hundreds of orders on the back end. Can be a daunting task task, especially with the amount that we scaled right around 20, 20, 21. All of a sudden we were getting an influx of. People calling, Hey, where's my order? Hey, what's going on? We created like a big bottleneck when we were scaling. And, um, Because of the time it took to produce. So we needed to develop a. Like more touch points within the customer instead of wasting a bunch of time for our reps and our customer service to answer the call and the customer gets annoyed too when they're like. You know, it's been three weeks. I haven't heard from you guys. What's going on? What we used with AI was, um. A, and we, we use Monday for our, like an order management system, monday.com, um, was a series of touch points along the way to check in with the customer. So, Hey, your orders in production, your orders in queue, your orders in the plating stage, your orders in the enamelling stage orders, finishing packaging. Now it's shipping. Here's the trac…

AI assessment note: “What we used with AI was... monday.com... a series of touch points”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.