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 →

Sunil Saha 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.

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Answered produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q Yeah. I am a much bigger fan of profitable companies that have raised no money than I have, you know, a hundred million dollar raised companies that are burning cash. Like, you know, well, like not a good thing. Right. All right. Tell us more of the backstory. When did you launch the company?

A Uh, so we launched in Honestly, I think we were a bit early because what we discovered is, you know, we were focused on small and medium sized companies, and we discovered that the owners in those businesses are extremely busy. They don't have time to do extra work to manage a reward program. Consumers also, it's very hard to change their behavior and get them to take extra steps at the point of sale. So we tried a variety of approaches to solve the problem, some of which you may have heard of I don't know if you've heard of belly card, for example, out of Chicago, where they had the iPads that sat at the cash register. We did some of those approaches before they did even. And we quickly learned that the only way for this to really work is to integrate it to the point of sale system that the business used. And that way it was completely automated, both for the business and for the consumer. And, uh, so at the time in 2010, there were not a lot of point of sale companies that had an API that you could hook into. Um, a few years down the road, a company called MindBody Online, you may have heard of them.

AI assessment note: “so at the time in 2010, there were not a lot of point of sale”

Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q on that. All right. So, okay, good. So that's good. So launched in 2010, you raised five million bucks. Um, tell us more. I kind of skipped over this. Tell us more about what, what it does. So it's integrate, integrates with the point of sale system. Um, describe how a consumer, like one of my listeners, when they go to their local fitness place, how will they experience it?

A Yeah, exactly. So basically all you have to do is have an email address on file with the business in their system. And so you go in, you check in at the gym, or you get a haircut at your salon, or, uh, you take a yoga class. You automatically earn points, um, and you get notified by email that you've earned points. You then join the reward program, and I was at LinkedIn before, so we took a lot of the tips and tricks from LinkedIn and applied them here. Me too. An invitation gets sent to you, just like you get invites on LinkedIn, and that invitation is what gets you engaged in the reward program. So that's, that's a key, uh, key one. The other one I would say is, uh, at LinkedIn, we A-B tested everything, and we do the same at Perkfill to really drive results for our clients. Um, we A-B test every flow.

AI assessment note: “all you have to do is have an email address on file with the business”

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