MELA supports the integration of learning and reflection into programme and system design. This includes helping teams clarify learning questions, surface assumptions, and build feedback mechanisms so that evidence can inform decisions throughout implementation, rather than only at the end. 

Our service include:

• Conducting programmatic research for supporting adaptive management and course correction through timely, decision-relevant insights
• Clarifying learning priorities and designing learning agendas 
• Developing and refining Theories of Change (ToCs) 
• Facilitating learning events, workshops, and structured reflection sessions

Monitoring data is one of the most powerful tools for understanding how programmes are actually unfolding, especially in complex and changing contexts.In MELA, monitoring data is used as a primary source of insight for learning and adaptation rather than reporting alone. Designed to be timely, relevant, and decision-focused, it is interpreted alongside exploratory research that surfaces key questions where priorities are unclear, and action-oriented research that supports rapid learning during implementation. Together, these inputs help identify patterns, constraints, and emerging issues, enabling real-time decision-making, adaptive management, and course correction in dynamic contexts..

Our services include: 

• Provide technical support to organizations to develop their learning-oriented M & E framework
• Using monitoring data to surface and test assumptions, risks, and uncertainties in programme design
• Identifying patterns, bottlenecks, and unintended effects as implementation unfolds

This is MELA’s signature area of expertise. It exists because many of the questions that programmes, institutions, and policymakers need answers to cannot be addressed through conventional evaluation alone. Experimental approaches such as RCTs typically focus on a limited set of variables— control versus treatment to judge success or failure, and are often conducted by independent evaluators. While valuable, this approach is less suited to understanding how change unfolds over time in complex settings or to supporting ongoing programme improvement. In complex environments, decisions are often constrained not by a lack of data, but by a lack of understanding of how change is unfolding and what is influencing it. 

To address this, MELA applies complexity-aware approaches as a participatory learning partner, examining programme mechanisms, tracing plausible contribution pathways and restraining factors, and surfacing behavioural, relational, and institutional change that would otherwise remain invisible. The emphasis is on producing learning that supports reflection, iteration, and adaptation to improve programme effectiveness over time.

Our services include:

• Outcome Mapping to track behavioural and relational change
• Outcome Harvesting to identify emergent and unintended outcomes
• Contribution Analysis to assess plausible influence pathways
• Systems-informed evaluation to examine interactions and feedback loops

MELA supports international development partners, government ministries, multilateral organisations, and funding agencies to design and strengthen organisation-wide and portfolio-level MEL strategies. We help clarify strategic goals, develop clear MEL and results frameworks, align reporting systems with funding priorities, and embed learning processes that support evidence-informed decision-making. Our approach ensures that MEL systems are not just reporting requirements, but practical management tools that guide adaptation, accountability, and long-term effectiveness across complex development portfolios.

Our services include:

• Organisation-wide MEL and impact strategy design to assess performance, clarify contribution pathways, and strengthen long-term effectiveness
• Developing portfolio-wide MEL strategies,  including context analysis, and Theory of Change alignment and baseline surveys
• Providing proposal-stage MEL & reporting support to help grantees under the  portfolio
• Conducting/Facilitating midline and endline evaluations
• Facilitating cross-programme learning  at portfolio-level