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 →

Lars Ganagal 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 5 · C 5 · P 4 · Cm 4 4.60

Q How did you, how did you make decisions on things like putting the avoid ad blockers feature in the business plan versus keeping the B to B web analytics in the free plan? I mean, how do you decide on all these things?

A So I think that like in a free plan, you need a reasonable, um, unit economics. So you need sort of a, you need to be super careful about costs, of course, if you're giving the product away for free. So there's a lot of thinking around like, how do we maintain a reasonable cost on that product? Uh, so that's a key thing, right? And then of course we want to keep each product package needs to have a meaningful feature set that's useful so that people love using it. But especially on a free plan, you want to make sure that there is something to buy. Like there are things that you would like to know, like, okay, what happened? I can look two months back in time. B to B sales cycles are often significantly longer than two months. So you want to look further back, right? So there's always, like you say, there's always an upsell.

AI assessment note: “in a free plan, you need a reasonable, um, unit economics.”

Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q tracked users, you also make decisions around which product features are in each bucket, but you also then have to decide what do you want to actually keep out of all of the plans and sell them as a separate add-on altogether, like content performance or return on investment report. How do you make that decision? Why is content analytics an add-on and not included in one of the packages?

A I think one of the, one of the key things that, like, if you want to have something as an add-on, you need to make sure that the base package makes sense. And often we'll see, like, that the add-on feature is something that is not relevant for everybody. I think this is a way of avoiding a situation where you sort of, you're charging, let's say, 25 K for the product, and people go like, but, oh, I don't use this thing. I want I want a discount. So you, you avoid that by saying, okay, look, we'll keep that out of the package. Um, we don't have to discuss that. So, so there's a lot about, I think pricing is a lot about, of course, like extracting value from a customer, super important, creating something that's experienced as fair from both sides. Everybody can understand the pricing and, um, yeah, yeah. So, so that's definitely there.

AI assessment note: “the add-on feature is something that is not relevant for everybody”

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