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 →

Hamish McKay no published score: only 5 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.5/5 from 5 raw tape exchanges 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.

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Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q What is the greatest value for the customer? To use this. I'm assuming this is designed in a way that it's bolted on to a Shopify store. So the customer doesn't need to download anything specific to be able to use it.

A That's correct. It's the, it's the very first thing they see after they buy on the confirmation page. We are embedded. It just says at a shipping address, apply a discount code that you forgot. Change your size or color. Those types of things will list out to the customer and they engage with them if they need to. And I guess like the most valuable thing for the customer, it depends on the scale of the problem and the merchant that you're dealing with. Our strongest customer advocate is buying from a store like Princess Polly. And that's because with, if you make a mistake on Princess Polly and you reach out to customer service, their response will be, Hey, sorry, we've already processed your order. It's about a ship in like 10 minutes, and we can't make any changes to it, but we do do free returns. So when you return it, just, you know, don't worry about it. And that's awful for the environment, awful for the customer, because they're receiving a package that they don't want. They have to return it, then get a refund. It's a complete waste of time. Yeah. And also they've gone, they've gone through this anxious period where they've sent an email and then they're like, oh, are they going to respond in time? Are they going to do this for me? And then they ultimately get bad news, right? And we're, we're cutting that out. We're letting them, they know they make a mistake at checko…

AI assessment note: “That's correct. It's the, it's the very first thing they see after they buy”

Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q in different facets, providing different kinds of services. And every single time it's a massive headache. So my hat's off to you for having a business that's successful in providing a service to the e-commerce industry. I am curious to know about AI. Are you using AI? Did you use AI to build any of your code? Are you using AI in any of your processes? What's your situation there?

A I think when we first built this product, you know, Vibe Coding wasn't a thing. It was the very start of the very start of the year. And, you know, my co-founder was just building this product, I think, off his own chops. For the merchandising stores that we were running. Now somewhere between like 60 to 70% of our software is probably built with AI or in copilot with AI. You know, they're doing the front end of the work, and then my co-founder is tidying it up or finishing it, doing the gloss. Um, and he just raves about it. Candidly, the, the conversation that he says to me, and I'm non, I'm non-technical, though you naturally grow to be technical as you run a software company. He says, if I didn't have cursor, I would be 400% slower. He's never enjoyed coding so much and never felt so empowered and so fast. And, and we feel it too. Like I find he posts publicly on LinkedIn about what he's developing. And I find all of the non-technical folk, i.e. like our clients that we work with, the e-commerce managers, the customer experience people, they're like, whoa, Kara ships so fast. And it's like, yeah, Kara and AI do ship really fast. Like he's, he'll be driving home from work and he'll speak into Curs' voice prompt and saying, Hey, I just got this ticket for this issue. Um, can you solve it or like X, Y, Z and that. And then by the time he gets home after his 30 minute drive to …

AI assessment note: “somewhere between like 60 to 70% of our software is probably built with AI”

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

Q If this is such a large problem, why isn't Shopify solving it themselves?

A I mean, they probably should at some point, right? The reality is they're, they're building an entire platform and the basics of auto editing, the core feature of You know, changing an address or canceling an order, perhaps they are features and they probably sit somewhere on their roadmap alongside the tens of thousands of other feature requests that probably come in from merchants every single month or day. And so it's something that sits there and I guess it's been an ignored space and, and you could, you could hypothesize why they haven't done it yet, right? Maybe it's because customer experience is kind of ignored in the e-commerce industry. Maybe it's because people that work in CX don't shout loud enough, don't advocate for their problems. Maybe the people that are actually working on the front lines and solving tickets, uh, you know, leadership's not listening to them when they say, oh my God, I spent so much time doing this. Or maybe there's just more important stuff to build first for Shopify. But like when we started this company, we, one had the thesis that like a great customer experience is self-service when it can be. Human touches when it's necessary and auto editing fits within that. And we also had the thesis that like, if we do this right, if we execute well here and win in five years, every checkout will have it. And they're not all going to use our software…

AI assessment note: “they probably sit somewhere on their roadmap alongside the tens of thousands of other feature requests”

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

Q Do you think it makes sense to position yourself to just have them acquire you instead of have them just build a basic feature and waste their time?

A Yes and no. I mean, when you're like, we, we have, we have the ambition of, of wanting to get acquired. That's always been the vision for this company is we're building a medium sized business. Whether or not Shopify is the dream buyer is a completely different story. I mean, personally, if we always built, we're always building our business to be an attractive acquisition opportunity and Shopify fits within that. But if we get to a buying circle, right, and we've engaged 20 vendors that are interested in acquiring this, and maybe there's a couple PE firms in there, I feel like I could almost guarantee that Shopify would probably give the worst valuation out of all of them. Because imagine you're the big bad e-commerce platform. We love Shopify, they're not big and bad, but you can, you can get my point. You can go, hey Hamish, take one X revenue, Or we're going to build this and completely kill your business, right? Like you kind of have a weird negotiating power when you own the entire merchant distribution. And so in terms of like attractiveness to us, well, as much as I'd love to work at Shopify and it looks like an amazing place and company to be a part of a little bit worried about the type of financial outcome that might be appended to that.

AI assessment note: “Shopify would probably give the worst valuation out of all of them.”

Partly raw tape D 2 · C 4 · P 4 · Cm 4 3.40

Q How did, if they've already started boxing the order or they've started to ship the order, you know, how do you tell the shipping company, Hey, whoops, sorry, you've got to actually go here. It's, it's like, um, Like, they're, they're in transit, so how do they adjust themselves, right? How do you make that happen? I feel like that's probably the most difficult.

A Completely. Completely. I mean, that was like one of the biggest problems that we had when we first started. I remember distinctly having this painting company and they sell paints and brushes and like shipping buckets of paint is not cheap. Paint is heavy. It's liquid. And I remember as soon as they started working with us, someone added three buckets of paint to their order and we sent them the order and said, yo, like we just made you a 150 dollars. Like we upsold this customer. And he said, yeah, but I'm shipping six liters of paint. For 15 dollars. Like, that's not okay. Like, the shipping rate should actually be less. And so we had to build technology to understand how they're recalculating shipping based on the weight and dimensions of the package, which is just Not a problem that I would want anyone to solve. Uh, it was not fun, and it took a long time, and there were lots of bugs as we solved it, because again, stores set up shipping rates in different ways. Sometimes they use third-party apps to manage their shipping rates. We have to then connect with that third-party app, and there's a lot of third-party apps that might do shipping rates.

AI assessment note: “we had to build technology to understand how they're recalculating shipping”

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