Keywords

In a Word The design and monitoring framework is a logic model for objectives-oriented planning that structures the main elements in a project, highlighting linkages between intended inputs, planned activities, and expected results.

Logic models (results frameworks) neither guarantee a good project (or program) design nor replace other instruments of project management. But they help to analyze problems; identify desired outcomes; establish a logical hierarchy of means by which the desired outcomes will be reached; identify clusters of outputs; determine how accomplishments might be monitored and evaluated, and planned and actual results compared; flag the assumptions on which a project is based and the associated risks; summarize a project in a standard format; build consensus with stakeholders; and create ownership of the project (Table 27.1).

Table 27.1 The design and monitoring framework
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They also support creative analysis. It is a rare project that unfolds exactly according to plan. During project implementation, one must pay close attention to the cause-and-effect relationships between inputs, activities with milestones, outputs, outcome, and impact. Repeatedly, one must make certain that inputs for activities are deployed successfully. Or one must adjust the means of attaining the outcome, including the definition of outputs, the mix of activities, and the indicators needed to measure accomplishment of the newly defined performance targets. Administration can become complex and it helps to have structure. Because of this, it is useful to deepen and extend typical logic models, for example, using the tool depicted below. (It lists only two targets per output). For each output, one can examine methodically whether targets are being achieved, how the activities are being implemented, and how activities might be improved. One can then itemize individual action plans, which should be monitored constantly (Table 27.2).

Table 27.2 Analysis of output accomplishment and improvement of activities
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Systematic analysis of output accomplishment leads to telling improvements in relevance, effectiveness, efficiency, and sustainability, thereby achieving impact. It clarifies materially the chain of causality in a design and monitoring framework.