The budget exists. A clear brief does not.
Stakeholder requests, agreements and constraints are scattered across calls, meetings and messages. I structure them into shared goals, contradictions, a single problem statement and decision criteria.
Research & discovery for technology-led companies and the teams that build or back them
I investigate the technology, the market and how people actually do the work. You get the evidence, findings and viable options needed to make the decision. If the project moves forward, I define the scope and write the requirements your team or delivery partner can work from.
When this is useful
Action is already urgent, but the team still does not share a clear view of the problem.
Stakeholder requests, agreements and constraints are scattered across calls, meetings and messages. I structure them into shared goals, contradictions, a single problem statement and decision criteria.
Interviews and process analysis expose the actual conflict before a team builds a compromise nobody needs.
Architectures, platforms and implementation approaches are compared against the problem, existing stack, workflows and constraints. The result is a comparative technical assessment, a recommended approach and, where needed, system requirements or a technical specification for the build.
Claims become measurable criteria, then get tested and compared against the project’s real needs and constraints. You get a side-by-side assessment of each option’s risks and limitations.
Desk research and interviews with experts, customers and market participants come together in a market assessment covering the structure, opportunities and risks, with a clear conclusion: go, wait or no-go.
The work
Each engagement starts with the business question and ends with a decision, an assessment or working requirements. The methods fit the question, not the other way around.
For an important initiative with an open question, unclear boundaries or requirements that have not yet been written down.
The decision question and the problem behind it
Options and the criteria for choosing between them
Evidence, findings and the reasoning behind the choice
Solution boundaries and prioritized requirements for the first version
Risks, assumptions and unresolved unknowns
Clear next steps for your team or vendor
Typical inputs: stakeholder interviews, workflow analysis, market and solution research, technical review and targeted experiments.
Ask about this format ↗Independent research into a technology, architecture, vendor, partner, investment opportunity or emerging market.
Senior research and decision support for a few days a month, or for a complex cross-functional question that does not fit an existing role.
Who I work with
Founders and product, technology or operations leaders making a decision before committing budget to delivery.
Client discovery, problem definition and a workable scope before timelines and pricing. White-label delivery is available.
Independent research into a technology, company, vendor or new market before a commitment.
Selected projects
Client work is anonymised where required. These summaries show the starting question, the research and what changed. The profile includes work you can read in full.
How I work
I choose the depth and methods the decision requires. The result is concise, usable and clear about what is known, inferred and still unproven.
What needs to be decided, who will decide it, by when, and what changes with the answer?
Technologies, implementation approaches, market, documents, interviews and the smallest useful experiment.
A recommendation with alternatives, solution boundaries, requirements, risks and next actions.
Questions
We start with a short call to define the decision, the stakes and what is already known. If the question is bounded, I propose a one-to-two-week Decision & Discovery Sprint with a clear outcome and fee. If another format fits better, I will say so.
Before implementation or alongside its earliest stage: clarifying the problem, interviewing stakeholders, comparing options and producing requirements. I can work directly with your delivery team or white-label inside an agency engagement.
Yes. I start with the problem AI is expected to solve and compare it with simpler options. If AI is the right fit, I identify a useful pilot and define how success will be measured. If it is not, I recommend the simpler system.
The conclusion will say so. I distinguish observed facts, supported inferences and unresolved unknowns, then name what evidence or experiment would change the decision.
I have a software-engineering background, can read code and test technical claims, and build my own products. I use that depth to improve discovery and assessment work; I do not take staff-augmentation engineering roles.
Contact
Three sentences are enough, but the full context is welcome: what you are trying to decide, what is unclear, what depends on the answer and your deadline. I reply within one working day.