At DataUpskill, we've developed a rigorous, yet flexible approach to Monitoring, Evaluation, and Learning that combines international best practices with local context expertise. Our methodology ensures every project delivers actionable insights and sustainable impact.
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A comprehensive 6-phase approach that ensures methodological rigor and practical relevance
We begin with deep stakeholder engagement to understand your context, objectives, and specific requirements.
Developing robust MEL frameworks, Theory of Change, and customized indicators aligned with your goals.
Implementing rigorous, context-appropriate data collection methods with quality assurance protocols.
Advanced statistical analysis, qualitative coding, and data triangulation to extract meaningful insights.
Creating compelling reports, dashboards, and visualizations that communicate findings effectively.
Facilitating learning sessions and supporting strategic adaptation based on evidence and insights.
Establishing robust benchmarks for measurable impact
Co-create SMART indicators with stakeholders aligned with project objectives and donor requirements.
Develop context-appropriate data collection tools (surveys, KII guides, FGD protocols) with pre-testing.
Implement rigorous sampling methods (random, stratified, cluster) ensuring statistical significance.
Deploy trained enumerators with digital data collection tools and real-time quality monitoring.
Establish baseline values with confidence intervals and prepare for future comparative analysis.
Rigorous assessment for program improvement and learning
Develop OECD-DAC compliant evaluation criteria (relevance, effectiveness, efficiency, impact, sustainability).
Combine quantitative and qualitative approaches for comprehensive understanding and triangulation.
Systematically involve all relevant stakeholders throughout the evaluation process for ownership and validity.
Employ quasi-experimental designs to establish causality and attribute outcomes to interventions.
Provide practical, evidence-based recommendations for program adaptation and future planning.
Transforming raw data into actionable intelligence
Comprehensive review of existing data systems, quality, and analytical needs.
Create customized data collection tools, dashboards, and analytical frameworks.
Apply statistical modeling, predictive analytics, and machine learning techniques.
Develop interactive dashboards and compelling data visualizations for different audiences.
Hands-on training and ongoing support to build sustainable internal analytics capacity.
Interactive tools and resources to understand our approach better
Let's discuss how our comprehensive MEL methodology can deliver actionable insights and measurable impact for your organization.
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