How we work
Interrogating commercial questions
We pressure test the assumptions, downside, and trade-offs embedded in pricing, portfolio, growth, and capital allocation decisions.
What the decision is really about
Most commercial questions arrive wrapped in strategic language that obscures the actual choice. We start by forcing clarity on the binary. What are you really deciding. What changes if you choose differently. What does success look like in concrete terms, not aspirational ones. What happens if you get it wrong.
Often this framing exercise alone reveals that the decision is not what the organisation thought it was deciding. The question was framed as a product decision when it is actually a capital allocation decision. Or a pricing decision when it is actually a customer segmentation decision. Getting the question right before modelling the answer saves significant time and changes the analysis that follows.
Which assumptions are carrying the case
Every recommendation rests on a handful of assumptions doing most of the work. Revenue growth rates. Margin expansion paths. Customer retention curves. Cost reduction timelines. Competitive response. Market adoption. Most financial models have twenty inputs but three or four that actually drive the output.
We identify which assumptions determine whether the economics work. We test them against external evidence and market logic rather than accepting them as given. We model what happens if each critical assumption is wrong by 20 percent, 40 percent, or substantially more. We stress the variables where risk concentrates, not the ones that are easy to quantify.
Where value is actually at risk
The downside case is not pessimism. It is an interrogation of what can credibly go wrong given market structure and competitive dynamics. Slower revenue ramp. Margin compression instead of expansion. Customer churn. Competitive response that destroys pricing power. Integration costs that run 40 percent above estimate.
Organisations habitually skip serious downside analysis. The base case is prepared carefully. The downside case gets a paragraph. We force a credible downside scenario onto the table, model it in cash terms, and ask whether the recommendation still makes sense if downside is the more likely outcome. For a significant proportion of the decisions we review, it is.
What changes once the economics are explicit
Once the underlying assumptions and downside cases are visible, the decision often changes shape. The binary frame may not hold. Intermediate options become visible that were not considered. Partial investment. Staged entry. Different partnership structure. Alternative timing. Narrower scope.
We identify variations that alter the risk profile without requiring heroic assumptions. We identify where incentive misalignment will cause the decision to fail in implementation even if the economics are sound. This is where most advisory stops. We do not.
Staying through execution
A decision looks good until it meets real market friction, execution constraints, and incentive systems that reward different behaviour than the strategy assumed. Advisory that ends at the point of decision misses most of where things go wrong.
We build in review points through execution to catch where implementation is diverging from the economics that justified the decision. If the core assumption underlying the case starts to fail in practice, we say so early rather than at the point it becomes a larger problem. Most of our engagements extend through the first twelve months of execution for this reason.