Minuci Advisory helps professionals and organizations understand what is driving results, improve recurring analytical work, and build systems that produce better information over time. Professional sports is a particular area of expertise, including contracts, compensation, personnel decisions, valuation, and market structure.
Pricing, investment, market, personnel, and performance questions all require more than a report of what changed. The analysis should identify what is driving the outcome, what comparison makes sense, and what evidence would change the decision.
Economic analysis can compare alternatives, estimate effects when the data supports it, and make the relevant trade-offs explicit. Qualitative evidence can also be incorporated when written assessments or professional judgment are part of the decision.
Redesign recurring analytical work so information can be collected, checked, and prepared with less manual repetition. AI is used where it improves the process, and the workflow can also capture useful data as the work is performed.
Financial, customer, human-resources, ticketing, marketing, and other internal systems can be used alongside contracts, evaluations, reports, and written material. Which sources matter depends on the question and the information already available.
Extracts from different sources can be reconciled, checked for duplication, and assembled into the form the analysis requires. Reports then draw from the same underlying measures.
Recurring outputs can show what changed and what deserves attention. The data captured through the workflow can also become an input for later analysis, assessment, and future decisions.
A useful workflow should make later assessment easier, not only move work faster. Data created through the process can help track performance, test whether changes are working, and identify where the next improvement should come from.
Define measures that connect the workflow to the decision or outcome it is meant to support. The point is to know whether the process is improving, not simply whether it is running.
As the workflow produces more information, later reviews can test what is working, where the measures need refinement, and whether the process should change.
A front office building a roster and an agency representing players both work with performance data, written evaluations, contracts, and repeated judgments. The challenge is to make that information easier to use while preserving the context behind it.
The example is informed by Minuci's research on WNBA contracts, wages, and career continuity. That work examines how performance measures and institutional conditions shape labor-market outcomes. Full citations and publication information appear on the About page.
A system could bring together scouting reports, medical notes, contract information, prior evaluations, and the rules used by the organization. Each new review would then begin with the relevant history already attached.
Different positions and roster roles call for different things. A workflow can compare an evaluation with those requirements, preserve the decision-maker's wording, and keep the original evidence connected to the summary.
Across repeated evaluations, the system can surface patterns within a roster or client list. Economic analysis can then examine questions of fit, value, development, and risk using evidence across the group rather than one isolated observation.
The example shows how the areas of expertise build on one another. Analysis defines what matters, the workflow organizes and captures the information, and the resulting data creates a stronger basis for assessment and future decisions.
Sports Data Hub tracks the sources behind league, roster, and performance data, including how each figure was checked. LitHub searches the practice's research library for studies relevant to the question being analyzed. Both are internal systems built to make data and evidence easier to verify, organize, and reuse.
The technical page explains the research designs, valuation methods, and reproducibility standards used when a question requires them.
Read Method & Model →The work starts by defining the question and ends with something usable. Depending on the problem, that may be an analysis, decision framework, workflow, reporting system, or documented process.
Clarify the decision, the outcome that matters, the information already available, and what evidence would actually change the answer.
Develop the analysis, workflow, or reporting structure the question requires. Document the sources, assumptions, and logic behind it.
Review what the work produces, identify what the new information shows, and leave the professional or organization with a clear way to use or update it.
Send a short description of the decision, workflow, or performance question you are working through. The reply will establish whether the work is a good fit and, if so, outline the scope and indicative fee. You can also bring the question to a free 20-minute introductory call.
