A B2B Value Proposition Framework Built From Customer Outcomes
Our value proposition lists what the product does. Why doesn't it land with buyers?
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A value proposition written inside the company describes features and guesses at benefits. Dan Adams of The AIM Institute builds it from customer research instead. Find the outcomes customers want, learn which matter most and how they measure them, test against the next best alternative, then put a number on the value created and decide how much of it the price captures.
The problem with writing it in a meeting
A founder knows the product in detail. Ask what it is worth and the answer usually starts with what it does. The team gathers, lists the features, and works the wording until each one sounds like a benefit.
The result reads well to the people who wrote it. It is also a guess. Nobody in the room is the buyer, and the buyer is the one who decides what counts as value.
Dan Adams, founder of The AIM Institute, makes this point bluntly. When suppliers ask his firm to run a value proposition workshop, he declines unless they bring their customers. His view is that time spent refining the statement indoors is time spent polishing an assumption.
The outcomes a buyer measures
Adams defines a B2B value proposition simply. It is an improvement in at least one outcome the customer cares about, large enough to matter to them.
That definition carries a useful fact. Business buyers are mostly not buying comfort. Nor are they buying status. The benefits they want are usually economic and measurable, and their behavior is fairly predictable. Something that can be measured can be studied. So the value proposition can be found through research instead of written by instinct.
Building it in four stages
Adams lays out nine levels of understanding. They group into four stages.
Find the outcomes
Start with open interviews about the job the customer is trying to get done. Adams cites research by Tony Ulwick of Strategyn estimating 50 to 150 outcomes behind each such job, so the first aim is not to miss any. Ask why each one matters. Have the customer pick the few that matter most. Then work with them to phrase each as a clear statement of direction, such as reducing the time a task takes.
Rank and measure them
Open interviews tend to confirm what the team already believes. So Adams adds a second, quantitative round. Customers rate each outcome for importance and for how satisfied they are today. An important outcome with low satisfaction is where improvement is wanted. In the same conversations, ask how the customer measures each outcome, and what result counts as barely acceptable and what counts as fully satisfying.
Compare against the alternative
A customer pays a premium only for value above the next best option. That option may be a competitor's product. Run the same tests on it. The claim then becomes relative, which is how the buyer will judge it anyway.
Put a number on it
Only now does money enter. Adams points to value calculators for estimating what an improvement is worth, and recommends The Value Merchants by James Anderson and colleagues as a guide. The last step is deciding how much of that value the price captures. He borrows the image of slicing a "value salami" from Irv Gross and Ralph Oliva of ISBM. If a product creates $500,000 of value a year for a customer, the question is where to cut. He adds that a calculator also raises the value the customer perceives, and perceived value is what pricing responds to.
What the founder ends up with
Done in that order, Adams argues, the value proposition stops being a writing exercise. It becomes a summary of the few outcomes customers rank highest, how the product improves them against the alternative, and what that improvement is worth.
That changes where the features go. They no longer carry the message. They become the reason the outcomes improve, and the proof behind the number.
The sequence takes more effort than a meeting. Adams' case is that the effort is the point. A value proposition built this way does not depend on the founder finding better words. It depends on knowing what customers measure, and how far the product moves it.