Before you fund the fix, make sure it's the right problem
Most organizations don't fail for lack of solutions. They fail because they spend time, money, and credibility on the wrong problem — and only find out afterward
INSILICONOVATION finds what's actually causing the problem before you commit resources to fixing it
For small businesses, independent professionals, advisors, and mission-driven organizations
The expensive mistake isn't picking the wrong solution
It's solving the wrong problem and discovering it after the money is gone.
The pattern is familiar. An issue gets fixed and comes back. A decision stalls because nobody agrees on what's actually wrong. There's pressure to spend — new software, another hire, a new system — without much confidence that it's aimed at the right thing.
Effort is rarely the problem. Misdiagnosis is.
One example. A paint manufacturer's new industrial pump ran perfectly in the lab and clogged constantly in the field. The engineers were sure it was a design flaw and were preparing to crowdsource a redesign — tens of thousands in fees, six months of elapsed time. The lab tested in summer. The field crews worked in autumn. The paint thickened as the temperature dropped. A formulation change fixed it, and the redesign would have produced a pump that clogged the same way.
The Clarity Sprint
A fixed-fee, fixed-scope diagnosis of one persistent or ambiguous problem.
You get a problem statement you approve before analysis begins, the assumptions and constraints made explicit, root-cause hypotheses tested and prioritized, solution options grouped by effort and time horizon, and a recommendation on where to start.
The Sprint stops before implementation. That's deliberate. You finish with a decision you can defend, not a project you've been talked into.
About INSILICONOVATION
I'm Eugene Ivanov. I founded INSILICONOVATION after more than two decades in innovation strategy and complex problem solving, where I kept seeing the same thing: capable teams moving fast and getting nowhere, because the underlying problem had never been clearly defined.
When symptoms are mistaken for causes, resources get spent, initiatives stall, and frustration builds. The issue is rarely effort.
Large organizations pay consultancies for the discipline of proper diagnosis. Smaller ones rarely can. I built the Clarity Sprint to make that discipline affordable for the organizations that can least afford to fix the wrong thing.
AI supports the analysis — making assumptions visible, testing hypotheses, widening the range of options considered. It doesn't decide. Every conclusion is mine to own.
What happens when you reach out
This isn't a sales call. It's a conversation to work out whether a structured diagnosis would actually help — and I'll tell you if it wouldn't.
1. You describe the situation. The challenge, decision, or uncertainty you're facing. Context and constraints matter more than complete information.
2. We work out what kind of problem it is. Whether it needs root-cause analysis, a decision framework, or something else entirely.
3. You leave with a clearer view. Of the situation, and of whether the Clarity Sprint is the right next step.