Monitoring, Evaluation & Learning (MEL)

We help systems learn and adapt. From theories of change and indicator design to full evaluation frameworks, we help organizations and communities generate credible results, uncover what drives progress, and use evidence to strengthen systems for lasting social impact.

What We Do

Systems-Focused Theories of Change & Logic Models

We help teams map how collective actions contribute to systems change and population-level outcomes. Our models clarify the relationships between programs, partnerships, and broader structural shifts, creating a shared roadmap for action and learning.

Indicators & Measurement Strategies

We identify what to measure, how to measure it, and how to use data for continuous improvement. From defining indicators to designing data collection tools for individual outcomes to system-level change, we ensure that your measurement system is both credible and feasible for real-world implementation and serves as a foundation for continuous improvement.

Evaluation Frameworks & Learning Systems

We co-design evaluation frameworks that bring structure and clarity to how progress is measured and understood. Each framework aligns goals, indicators, data sources, and learning processes, helping teams organize evidence, meet funder requirements, and reflect on results. Whether for a single program or a multi-partner initiative, we ensure that evaluation supports both accountability and continuous improvement.

Participatory & Utilization-Focused Evaluation

We design evaluations that are practical, inclusive, and action-oriented. By engaging staff, partners, and community members throughout the process, we ensure findings are relevant, trusted, and directly used to improve programs and collective results.

Learning & Knowledge Mobilization

We help teams and communities turn data into learning and action. Through synthesis, visualization, and storytelling, we make findings accessible and actionable, supporting reflection, adaptation, and collaboration across sectors.

How We Do It

We tailor every MEL process to your organization's context, capacity, and stage of development. Our work balances rigor and practicality, grounded in strong methodology and designed for real-world use.

Evidence-Based Design. Our MEL frameworks draw from social science, implementation science, and improvement models to ensure rigor, equity, and usability.

Collaborative Methods. We co-create tools and learning systems with teams, community partners, and funders, building ownership and shared understanding of results.

Accessible Tools. We translate complex methodologies into clear frameworks, templates, and visual dashboards, so data is easy to collect, interpret, and use for decision making and reporting at all levels of the system.

Capacity Building. We strengthen your team's ability to analyze, interpret, and apply data, through coaching, training, and hands-on collaboration, embedding learning practices that sustain change over time.

Why It Matters

Strong learning systems drive better results. By connecting evidence with reflection and action, we help organizations and communities:

Understand what's working and why, at both program and system levels
Strengthen collaboration through shared measurement and learning
Use data to drive continuous improvement and equity
Communicate credible results to funders, partners, and the public
Build the culture and capacity needed for long-term change

When learning becomes part of how a system works, progress becomes measurable, repeatable, and lasting.