Monitoring and Evaluation

Monitoring and Evaluation (M&E) is essential for tracking program implementation, measuring progress, and fostering accountability. At Research360, we embed M&E systems that not only collect data but also support continuous learning and decision-making throughout the program lifecycle.

We co-develop Theory of Change models and logical frameworks in collaboration with implementing partners to ensure alignment with program goals.

Our monitoring systems are adaptive and tailored whether paper-based for low-tech contexts or digital dashboards using ODK, KoboToolbox, or SurveyCTO for real-time tracking. Indicators are selected to capture reach, efficiency, effectiveness, and equity.

Mid-term evaluations offer a critical opportunity to reflect, recalibrate, and maximize program impact. Our approach blends performance review with strategic learning.

We evaluate progress against original targets, assess relevance of design, and test emerging assumptions.

We typically apply mixed methods, combining field visits, outcome data, and beneficiary feedback to create a holistic view. Mid-terms are more than audits — they are tools for decision-making and learning

We conduct detailed process evaluations to assess how well programs are being implemented not just whether they achieve results, but how. This includes fidelity to design, delivery quality, efficiency, and responsiveness.

We use process-tracing, staff interviews, and time-motion studies to assess both the efficiency and integrity of implementation.

These reviews are often embedded at midline to allow for adjustments while programs are still active.

We apply outcome harvesting when change is non-linear or unpredictable, such as in governance, peacebuilding, or advocacy contexts.

This method identifies meaningful outcomes that have already occurred and then works backwards to understand the contribution of the intervention.

The approach is participatory, using workshops with staff and community members to ensure inclusive knowledge generation. Outcome harvesting is ideal for projects where predefined indicators may miss emergent results.

To enable adaptive programming, we build custom digital dashboards that track key indicators in real-time.

Using platforms like Power BI, DHIS2, or KoboToolbox, our dashboards visualize data flows from field teams directly into centralized decision-support systems.

Our dashboards are co-designed with clients and tested for user-friendliness, localization, and offline compatibility where needed.

Our work begins with developing robust Monitoring & Evaluation (M&E) frameworks tailored to each program’s goals. These frameworks define clear inputs, outputs, outcomes, and impact indicators, aligning with both donor requirements and local realities.

We co-create logical frameworks (logframes) or results chains with implementing partners, identifying data sources, responsible actors, frequency of tracking, and data utilization plans.

Our team ensures that both quantitative and qualitative indicators are embedded, with clarity on means of verification.