The success of a Suggestion System is mainly based on the participation of the employees and on a continuous flow of submitted Improvement Suggestions. However, a large volume of Ideas doesn't automatically equal the desired result for the company. Problems such as the choice of evaluation criteria (i.e. profit, cost, technical difficulty), or the decision of which Suggestion to implement first, frequently occur. On top of all that, there is always the main issue of keeping the raisers of the Idea satisfied, by seeing their approved Suggestions been implemented in a reasonable period. The subject of this thesis is to develop an evaluation and prioritization tool for Improvement Suggestions. Based on the QFD method, the tool built consists of two main parts. One calculates the impact of the Idea on the organization’s Core Processes and the other calculates the Suggestion's implementation ease. The aim was not to produce another arithmetic tool, but a decision making method, which would satisfy a set of criteria such as flexibility, user friendliness, dynamism, support of both KAIZEN and Innovative Ideas, etc. The developed tool was designed to be applicable with different volumes of Suggestions and in different kind of organizations. A pilot project was run at the Division of Quality Technology and Management Suggestion Box Scheme with satisfactory and reliable results produced.