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Most research begins with an intuition or observation, but translating that idea into a testable framework requires discipline. This article outlines a structured process for moving from hypothesis formulation to a clearly defined analytical approach.
We discuss data selection, assumption documentation, and early validation steps that help reduce bias. Common mistakes—such as unclear objectives or excessive parameter flexibility—are also highlighted.
The focus remains on clarity and reproducibility, emphasizing research quality over speed or novelty.
