WHAT I DO
I turn ambiguous problems into systems people can run.
Most of what I do sits at the point where a business problem stops being just a business problem, and starts needing to become a requirement, a product decision, a workflow, or a piece of software. Business analysis, product strategy, operations, and AI where it actually earns its place, plus the design and technology to build the result. One person carrying it end to end, not five handoffs and five versions of the story.
HOW THIS FITS TOGETHER
Two entry points, one way of working.
Most of the projects on this site start as a design or brand engagement and surface a structural problem underneath it: an unclear requirement, a positioning conflict, a process that only works because one person remembers how it's supposed to go. Business analysis and product strategy are how that gets solved, before design starts, or instead of it, when design isn't actually the fix. Same standards, same way of working, applied to whichever layer of the problem is actually broken.
WHERE I GET CALLED IN
The problems that usually start the conversation.
“We have an idea but don't know how to structure it.”
Structured into requirements, priorities, and a first version worth building.
“Engineering and business teams aren't reading from the same page.”
Translated into requirements both sides can actually work from.
“Our product has a long feature list and no clear priority.”
Cut down to what the product actually needs to prove first.
“We want to use AI but don't know where it actually helps.”
Tested against a real business case before a single workflow changes.
“Our processes work, but only because people remember things.”
Turned into a system that doesn't depend on memory.
“The site looks fine. It just doesn't convert.”
Rebuilt around what the visitor is actually deciding, not what looks good in a mockup.
HOW I THINK
Seven steps, same order, every time.
The business, the users, the constraints, and what's actually being asked for, before anything gets proposed.
Separating the real problem from its symptoms, so the fix addresses the right thing.
Turning ambiguity into requirements, priorities, and something measurable.
Building the actual product, process, UX, or technical solution the structure points to.
Testing the assumptions against users, stakeholders, or data before committing further.
Making it operational. Something a team can actually run, not just admire.
Checking whether it did what it was supposed to do, and adjusting from there.
RECENT WORK
A few examples of the shape of this work.
Client names are still under NDA. The full breakdown, problem, approach, and outcome, for each of these lives on the case studies page.
A financial-intelligence platform needed four connected modules to launch without duplicating logic or confusing the sales conversation. The work was structuring the shared data model and writing the requirements that let each module stay independent while pulling from one source of truth.
Read the full case study →An AI credit-risk product wasn't landing with the SME lenders it was built for. The objections weren't really about the technology. Reframing the product from a credit scorer to a collection strategist changed which conversation it was having with buyers.
Read the full case study →A voice-AI SaaS product was priced around usage minutes, which penalized the customers most likely to succeed with it. The fix was restructuring pricing around business stage and outcome instead, with a clearer path from free to enterprise.
Read the full case study →A growing delivery team had outgrown its informal, tribal-knowledge way of operating. The result was a full operations handbook and RACI matrix that made accountability explicit instead of assumed.
Read the full case study →
WHAT I BELIEVE
A few things I hold to.
- Good strategy should survive contact with execution.
- Technology earns its place by solving something real, not by being new.
- A product succeeds because it solves a meaningful problem well, not because it has more features.
- Good requirements remove ambiguity before it becomes a problem.
- Measurement is what turns an assumption into evidence.
GO DEEPER
Explore the strategy side.
What this actually covers
The capability areas this work breaks into, and how they combine on a real engagement.
Work
Selected case studies
Four real engagements, anonymized, broken down using the same framework used on the job.
Insights
Field notes
Short, specific observations pulled from the work. Not blog filler.