This guide has been designed as a quick reference for the key elements of creating and using an X-Y Matrix Analysis. The Cause and Effect Matrix, also known as an X-Y Matrix, is a relatively simple matrix used to relate and prioritize X's to process output Y's through numerical ranking using the Process Map as the primary source of information. It can also be used with input from brainstorming tools like the Affinity Diagrams. The goal of the Cause and Effect Matrix is to numerically estimate the relationship of Y=f(X), based on the combined knowledge of the improvement team. It is a tool to funnel down the potential contributors to a given problem. This is a 10 page reference guide including any applicable templates and data sets.