The Disciplines Behind the Work

Hypothesis-driven by default

The default mode for a Commercial Opportunity Assessment is hypothesis-driven.

We start the engagement with a working thesis on what the opportunity is, why it exists, and what would have to be true for it to be worth pursuing, and we design the primary research to test that thesis directly. The research either supports it, qualifies it, or doesn’t. The buyer ends the engagement with a position they can defend, not a tour of the sector. Hypothesis-driven work is faster, sharper, and produces a deliverable the deal team can actually use to make the next decision. Open-ended landscape work has its place, but it is the wrong default.

Open-ended when the hypothesis hasn’t formed yet

The exception is the engagement where the buyer doesn’t yet have a thesis to test, typically a fund building a sector view long before any deal surfaces, or a corporate buyer scoping an adjacent category they haven’t acquired into before.

In those cases, the work is structured to develop the thesis, not test it: which sub-segments are real, which business models compete, what the value-creation playbook would look like, and where the natural targets are. The deliverable is the thesis itself, with the evidence to back it. This is the right mode, roughly one engagement in five. The wrong place to use it is the live process, where the buyer needs the position the live process demands, and an open-ended landscape tour produces a survey of the sector when the deal needed a verdict.

Scoped to the decision, calibrated to the process

A COA can answer almost any question about a market if the budget is unlimited; almost none are.

We scope the engagement around the specific decision the buyer needs to make (whether to engage the live process, whether to commit capital to a sector view, whether to extend the diligence to a deeper CDD) and we cut everything that doesn’t move that decision. Market sizing matters only to the extent it changes whether the deal works. Competitive landscaping matters only where it bears on the thesis being tested. The risk in a COA is the same as the risk in a market study: the temptation to cover the sector exhaustively rather than answer the question. We resist the temptation because the exhaustive version produces the same answer the disciplined one does, weeks later, at twice the cost, and the buyer has already moved.

Careful with market definition

The single highest-leverage error in commercial diligence is an overstated market definition.

A loosely defined TAM, a SAM that includes adjacent segments the target can’t actually serve, a SOM extrapolated from the part of the curve that won’t extend: each makes the model look better than it is, and each compounds into downstream underwriting that pays too much for what the asset actually is. Most market sizings start from the category, which is the right place to start but the wrong place to stop. Every business reaches a different version of that category: shaped by its specific capability set, its value proposition, its business model, and the product portfolio it actually ships. The market a target can win is the intersection of all four. Sizings that don’t make those intersections explicit tend to overstate both the addressable market and the growth rate the target can capture from it, not from any failure of intent, but because the work of mapping a specific business onto a generic market is harder than presenting the generic market on its own. We hold the market definition tight to what the customer evidence supports, not to what makes the model land where the seller needs it to. That is not conservatism. Conservatism guesses low to be safe. We are careful, which is different: we get the definition right, even when right is bigger than the seller’s number, and especially when right is smaller. The discipline pays off years later, when the asset performs closer to the way the carefully-defined market said it would.

Same evidence base as a CDD, scoped to a narrower question

A COA is not a thinner version of a CDD; it is the same evidence discipline applied to a question that doesn’t yet need the full thesis pressure-test.

We use the same primary-research approach across the source types that decide whether a thesis holds: customers and prospects who name what will drive their next purchase, channel partners and competitor-customers who see the competitive dynamics from the inside, and where the thesis depends on it, the legislators, regulators, and policy-affairs professionals whose decisions shape the environment the asset will operate in. The same custom-sourcing discipline. The same fully integrated team model. What changes is the sample sizes, the breadth of the topic scope, and the time horizon. A COA built well becomes the foundation a later CDD extends, deepened rather than rebuilt, and clients who sequence a COA with us into a CDD have consistently found the CDD comes together meaningfully faster than starting from zero.

Frameworks built for the engagement, not pulled from a shelf

Most COAs ask the buyer to evaluate a thesis against factors that don’t yet have an evaluation framework attached to them: which segments matter most, which competitive moves to weight, how to rank candidates in an unfamiliar category, how to size an opportunity that has no obvious comparable. When the question is novel enough that no existing framework fits, we build the framework as part of the engagement, populate it with the primary research, and deliver it to the buyer alongside the evidence. The framework is what makes the evidence decision-grade. Without one, the buyer is left with data and a thesis but no structured way to test one against the other.

Built to hand off, not to file

The COA deliverable is structured to land with the deal team or the investment committee and become the basis for the next decision, not to document the work for the archive.

The thesis is stated at the top. The evidence that supports or qualifies it is organized by load-bearing claim, not by chapter heading. The recommendations are framed as the decisions they should inform: pursue, decline, extend to a deeper CDD, refresh the underlying thesis.