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The selection of what to do next is often the hardest part of problem solving. This selection can be structured by di,'Mguishing decisions about the problem from decisions about the problem solving process. When planning decisions are structured in this way, we find that many of the most important decisionc, are about the planning process itself. This exercise tends to expose a variety of decisons, which are usually made implicitly and sub-optimally in planning programs with rigid control structures. This paper develops a layered approach for meta-planning, that is, for planning about planning. It is part of a course of research which seeks to enhance the power of a problem solver by enabling it to reason about its own reasoning processes.