The shape of a “yes”

When someone evaluates a new product, they are not evaluating the product in the abstract; they are evaluating a distribution of outcomes. This may happen consciously or subconsciously, but especially in B2B there is no universe in which it doesn’t happen.

A buyer will routinely cycle through a series of questions as they attempt to model out the payoff structure your product may produce: how large is the perceived upside? How quickly does it arrive? What is the shape of the perceived downside, and how reversible is it?

Putting the answers to these questions together produces a payoff curve. The shape of that curve decides whether your product gets adopted or whether it gets a “come back next quarter,” which is where B2B startups usually go to die.

You almost always want to be selling capped downside for material upside. Conversely, you want to stay away from unlimited downside for marginal upside. This sounds obvious, but it gets missed all the time. What matters here is not what the founder believes the payoff curve looks like, but what the buyer believes, or is likely to believe. That is worth modeling deliberately while building the product because it changes the product itself. Better engineering, better feature selection, better pricing, compliance work, and channel choice can all improve the shape of the curve.

This is not as simple as it sounds. You need to correctly identify the buyer, understand the constraint space they operate in, their risk tolerance, and the kinds of upside that matter to them. Mid-market CFOs, for example, are infinitely more risk-averse than startup founders. If you hallucinate those things, you will spend at least a couple cycles selling the wrong product to the wrong people. Get them right, and you may “pass go.”

A product can create real value and still present a bad curve to the buyer. This happens constantly in B2B. The founder may see time saved, cost reduced, throughput increased, revenue unlocked, where the buyer actually sees implementation burden, trust risk, internal scrutiny, and personal downside. Only one of those world models matters.

A lot of products create value. Fewer create a proposition the buyer can safely say yes to. That is why buyer identity matters so much. Who they are, what they optimize for, what they get rewarded for, whether they are a principal or an agent, how legible the upside is to the rest of the organization, how much of the downside lands directly on them, and so on.

Further, distribution directly influences the shape of the curve. Take the example of a young company proposing a new capability to a risk-averse buyer. While a genuine value-add, there are few comparables in the marketplace. The buyer models the curve, usually with some loss, and decides that their company gets most of the upside if things go well, while they carry most of the downside if they don’t. That is a bad curve: some bounded operational upside against personal, reputational, and career risk. “Nobody gets fired for buying IBM.”

Now take the same underlying capability and offer it as infrastructure to a platform that already serves that same buyer. The platform can unlock a new capability for its customers, expand into new regions or user segments, improve its margins, or even open a new revenue line. By the time the value proposition reaches the end user, it comes from someone they already trust, bundled with other value they already consume. It proposes an enhancement to a shape they already understand, rather than asking them to fit a wholly new shape into their operating model, which consequently improves your adoption odds.

So by this token, startups often fail because they present products with poorly constructed payoff curves to the wrong buyers. It is certainly not the only way to die as an early-stage startup; there are plenty of those. But this is a fairly common failure mode, especially early on. The product may work. The capability may be real. The value may even be obvious to the founder. But that is not enough.

What matters is the shape of the payoff curve as it is understood by the buyer.