How It Works
Every engagement follows the same learning loop. The client request is the way in: it points to the structural problem underneath.
Most organizations want to jump straight to exploit: implement the tool, ship the fix. We explore first, finding the root cause before committing resources. Then we design the solution.
Our clients prefer discretion. Details have been anonymized.
What They Asked For
"Our competitive intelligence is driving decisions, but they're not having the impact we expect. We have the tools and the data, but we keep getting surprised by moves we should have seen coming."
What We Found
The organization was running three different models of why it wins, none of them explicit. Sales believed they lost on pricing. Product believed competition was a feature map. The exec team was working from stale analyst narratives.
Each had real data supporting their view, and each contradicted the others.
The problem wasn't that any one team was wrong. Nobody had connected internal assumptions to external market dynamics, so every team had signal and no one could tell it from noise.
We built a model that explicitly did that. And with it, a competitor move the whole industry read as a retreat looked completely different. They were simplifying their implementation model, repositioning along the dimension most correlated with long-term retention. The data had been in the existing CI tools, but without the connective model, it was perceived as noise.
"Three teams watching competitors and nobody was seeing the signal that mattered even though it was right there."
— CEOThese are the kinds of results we get when
we find the real problem first.
What should you be asking?
Every market has signal like this. Let's find yours.
Let's Talk