M&E Resources

A structured matrix that summarizes a project's design, linking activities to expected results through a clear hierarchy of objectives with indicators, verification sources, and assumptions.

Most Significant Change

A participatory qualitative monitoring approach that systematically collects and selects stories of change to identify and share the most significant outcomes of a program.

Outcome Harvesting

A retrospective evaluation approach that identifies, verifies, and analyses outcomes that have occurred, then determines whether and how the program contributed to them.

Results Framework

A structured collection of indicators organized by results level that tracks program performance across a portfolio, focusing on what changed rather than what was delivered.

Theory of Change

A structured explanation of how and why a set of activities is expected to lead to desired outcomes, mapping the causal logic from inputs to impact.

Utilization-Focused Evaluation

An evaluation approach where every design decision is driven by the needs of the primary intended users, the specific people who will actually use the findings to make specific decisions.

Adaptive Management

A management approach that uses continuous learning from monitoring and evaluation data to adjust program strategies and activities in response to changing evidence or context.

Data Quality Assurance

A systematic process for verifying that collected data meets five quality dimensions, Validity, Integrity, Precision, Reliability, and Timeliness, ensuring data is fit for decision-making.

Disaggregation

The breakdown of aggregate data by sub-group characteristics, such as sex, age, location, or vulnerability status, to reveal inequities and differences in program reach and outcomes.