The evolution of management tools in development heavily borrows from industrialist practice. Taylor’s Scientific Management approach (1910s-40s) influenced the early days of development practice and aid delivery with its emphasis on efficiency and productivity, specialisation and professionalisation, the introduction of standards and replication of best practices, and data-driven decision-making. Management by Objectives (1950s-60s) promoted setting clear, measurable objectives and evaluating performance against them. Additional project management techniques sprang from that root, emphasising planning, scheduling and controlling activities for large or complex projects (e.g. the Critical Path Method).
Driven by the need for greater accountability, transparency and effectiveness in development projects, the United States Agency for International Development (USAID) developed the Logical Framework Approach (LFA) in the 1960s, which became the foundation for results frameworks. The LFA provided a systematic method for organising and presenting project objectives, inputs, activities, outputs and outcomes, clarifying the logical (causal) relationships between them. This ground-breaking innovation offered a coherent approach to project planning, implementation, monitoring and evaluation.
Over time, and as a reaction to criticisms that LFAs were too rigid and linear, they evolved into what is now known as results frameworks, which have become widely used in development practice. Results frameworks emerged as a more flexible and dynamic tool, underpinned by the theory(ies) of change underlying a programme or project. Approximately 88% of low- and middle-income countries have developed national results frameworks (OECD/UNDP, 2019[2]), and 97% of all bilateral and multilateral development partners extensively use results frameworks at project, portfolio and corporate levels (Guerrero-Ruiz, Schnatz and Verger, 2021[3]). Compared to logframes, results frameworks are more flexible in their structure, rely on standardised terminology, provide more detailed monitoring and evaluation plans, and can be applied to guide decisions not just for single projects, but for broader programmes, portfolios and policies (i.e. scalability).
This increased flexibility is due to the emphasis on using theories of change (ToC) in the formulation of results frameworks. Comprehensive descriptions and illustrations of how and why a desired change is expected to happen in a particular context, ToC encourage the use of approaches that seek relevance, acknowledge complexity and uncertainties, adapt to context and change, and offer the ability to test and review ‘hypothetical’ causal linkages and underlying assumptions during implementation. With variations, both results frameworks and theories of change quickly became popular managerial tools in development practice from the early 2010s.
More recent trends in public management practice have led to softening the more rigid, linear, top-down aspects of results-based management further – including how results frameworks are developed and used. For example, governments and development agencies have experimented with innovative methods that emphasise the local, bottom-up definition of problems, solutions and expected results (OECD, 2015[4]), or that stress the latter parts of the results chain (i.e. outputs, and even more so, outcomes and impacts), giving implementers greater freedom to adapt original plans and activities as needed (Guerrero-Ruiz, Schnatz and Verger, 2021[3]). Thanks to these adaptations and innovations, the fundamental focus of results frameworks as a management tool, which is to drive positive development impact, remains steadfast.