Monitorable versus evaluable frameworks
Indicator level changes as shared building blocks
Documenting expecting causal linkages (how the blocks are put together)
The modules referred to in the title of this blog can be seen as referring to two types of entities that can be used to construct many different kinds of ToC. One is the indicator-specific changes in the LCD Logframe, for example. By treating them as a standard set available for use by different stakeholders in different settings, we may gain flexibility at a low cost. The other is the grouping of indicator specific changes into categories (e.g. Outputs 1-2-3-4) and larger sets of categories (Outputs, Outcomes, Purpose). The existence of one or more nested types of entities is sometimes described as modularity. In evolutionary theory it has been argued that modularity in design improves evolvablity. This can happen: (a) by allowing specific features to undergo changes without substantially altering the functionality of the entire system, (b) by allowing larger more structural changes to occur by recombining existing functional units.
The value of multiple causal pathways with a ToC
Shared causal pathways justify more evaluation attention
This innovation points to an alternate and additional use of the matrices above. The cell numbers could refer to the numbers of constituent programs in a policy area (and/or which are funded by a single funding mechanism) that involve this particular causal link (i.e. between the row event and the column event). The higher this number, the more important it would be for evaluations to focus on that casual link - because the findings would have relevance across a number of programs in the policy area.