Three-Question Framework Helps Coders Solve Algorithm Problems Faster Under Pressure

A software developer has outlined a structured mental framework designed to improve problem-solving speed during high-pressure coding interviews. The approach centers on asking three questions before writing any code: identifying what is known, defining the desired outcome, and pinpointing the smallest piece of trackable information that can answer the problem instantly. The method is demonstrated through a classic array problem — finding the longest subarray with a sum equal to K — where applying prefix sums reduces the solution from an inefficient O(n²) approach to a linear one. The author argues that this "deduce-and-build" mindset helps programmers recognize common algorithmic patterns such as sliding windows and prefix sums more reliably. Beyond interview performance, the framework is presented as a repeatable habit that builds both technical clarity and confidence when working under time constraints.