Program Design Principals
M&E Planning Steps
Indicators & Measurements
Data Collection Methods
Challenges in M&E
100

This approach integrates stakeholder perspectives and contextual factors into the program design process to enhance relevance and effectiveness.


What is participatory design?

100

The initial step in formulating an M&E plan involves articulating these foundational elements of the program.

What are the program goals and objectives?

100

These indicators provide immediate insights into the outputs of program activities, allowing for real-time assessment.


What are output indicators?

100

This method is often used to gather quantitative data from a large population, facilitating statistical analysis.


What is a structured survey?

100

A significant challenge in M&E is often the lack of this, which can limit the scope and effectiveness of data collection efforts.


What is adequate funding?

200

This principle emphasizes the alignment of program objectives with established frameworks and theories in conflict transformation.


What is theory-driven design?

200

This document serves as a blueprint, outlining the resources required for effective M&E implementation, including human, financial, and material resources.

What is the M&E budget plan?

200

This category of indicators captures changes in knowledge, attitudes, and behaviors, reflecting the program's effectiveness.


What are outcome indicators?

200

This qualitative data collection technique allows for in-depth exploration of participant perspectives through semi-structured formats.


What is qualitative interviewing?

200

This challenge manifests when stakeholders exhibit limited engagement or commitment to the M&E process, impacting data quality and utilization.

What is stakeholder disengagement?

300

In the context of conflict transformation, this type of design seeks to address underlying structural factors contributing to conflict dynamics.

What is systems-oriented design?

300

In M&E planning, this critical step entails specifying measurable indicators that will assess progress and performance.


What is the indicator selection process?

300

This type of indicator is utilized to measure long-term changes in the socio-economic or political context resulting from program interventions.


What are impact indicators?


300

This observational technique is employed to gather contextual data, providing insights into real-world dynamics and participant behaviors.

What is ethnographic observation?

300

This issue can compromise the integrity of data collected during M&E activities, particularly in self-reported measures.


What is response bias?

400

According to Church and Rogers, this framework is essential for mapping causal relationships between program activities, outputs, outcomes, and impacts.


What is a results framework or logical model?

400

This component of the M&E plan details the methodologies for data collection, analysis, and reporting, ensuring clarity and consistency.

What is the data management plan?

400

For indicators to be actionable, they must meet the SMART criteria; what does the "R" stand for?

What is Relevant?

400

This approach involves analyzing existing datasets to generate insights without the need for primary data collection.

What is secondary data analysis?

400

This challenge pertains to the difficulty in quantifying intangible outcomes, such as social cohesion or community resilience.


What is the measurement of soft outcomes?

500

This conceptual tool articulates the assumptions and hypotheses about how change occurs within a program, guiding evaluation efforts.

What is a theory of change?

500

This phase focuses on embedding M&E processes within organizational structures and practices to ensure sustainability.


What is institutionalization of M&E processes?

500

This qualitative approach captures deep, contextual insights into participants' experiences and program impacts over time.


What are longitudinal case studies?

500

This mixed-methods technique involves capturing narrative accounts to evaluate complex social phenomena within the context of program implementation.


 What is participatory action research?

500

This challenge involves effectively managing large volumes of data, ensuring meaningful analysis while avoiding data fatigue.

What is data management complexity?

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