A research method is the machinery that turns a question and a dataset into a defensible answer. It determines what your study can credibly claim, which assumptions it rests on, and whether the result will survive the scrutiny of a referee who does this for a living. Yet in practice the method is too often chosen by habit rather than by fit—the technique the researcher already knows, or the one a supervisor happens to favour, applied to a question it was never designed for. That mismatch is behind a large share of avoidable rejections: a pooled regression run on data that is really a panel, a mediation model estimated with an approach reviewers now reject, a forecast judged on how well it fits the past rather than how well it predicts the future.
We work the other way around. We start from the question you are actually asking and the structure of the data you actually have, and only then choose the method that fits both. Sometimes that points to a workhorse technique done rigorously; sometimes to a more specialized estimator that the question genuinely requires. The point is that the choice is deliberate and justified, made explicit so that a reviewer can follow the reasoning as easily as you can. Across fifteen method areas—spanning quantitative and econometric analysis, modelling and machine learning, and synthesis, primary, and qualitative research—we bring genuine specialists rather than one generalist stretched thin, because for anything non-trivial, depth in the specific method beats broad familiarity with all of them.
Each of these fifteen areas is a full capability in its own right, with its own literature, its own standards, and its own pitfalls. And each pairs, on every project, with one of our six subject domains—the field you are studying and the analytical approach you are using, brought together by people who know both. What follows is a map of the fifteen, grouped into three families so you can see how they relate; but the grouping is a convenience, not a boundary, and many of the strongest studies draw on more than one.