This document discusses how to analyze programs for efficiency. It explains that programs should be analyzed both before and after implementation to estimate things like computation time and storage requirements. Key aspects to consider include the number of times loops and statements will be executed, how algorithms and data structures are implemented, and how the program's performance compares to alternatives. An example program for computing the nth Fibonacci number is provided to illustrate some of these concepts.