Research Evaluation
Innovative mixed methods and emerging theoretical frameworks to assess programs, interventions, and technologies for effectiveness, scalability, and sustainability.
Evaluation Types
We apply rigorous evaluation methodologies at every stage of a program's lifecycle to generate actionable insights.
Formative Evaluation
Rapid, iterative feedback during program design and early implementation to refine approaches and strengthen interventions before full rollout.
Process Evaluation
Measuring fidelity and reach — assessing how well a program is being implemented relative to its intended design across all sites.
Outcome & Impact Evaluation
Rigorous assessment of program effects and long-term impact, using mixed methods to capture the full picture of what changed and why.
Sustainability Evaluation
Assessing scalability and long-term viability to ensure successful programs can be maintained, expanded, and replicated.
Choose Your Engagement Level
Three tiers of evaluation partnership designed to meet your organization's needs, timeline, and resources.
Light-Touch Evaluation
Rapid feedback focusing on key performance metrics. Ideal for time-sensitive projects or early-stage programs needing quick insight.
- ✓ Key performance metrics
- ✓ Rapid turnaround
- ✓ Targeted recommendations
- ✓ Brief reporting
Comprehensive Evaluation
In-depth mixed-methods assessment combining quantitative analysis with qualitative inquiry for a full evaluation picture.
- ✓ Mixed-methods design
- ✓ Stakeholder interviews
- ✓ Full analytical reporting
- ✓ Implementation fidelity
Embedded Evaluation
Deep integration into your organization enables real-time data use and adaptive learning for continuous program improvement.
- ✓ Real-time data use
- ✓ Adaptive learning
- ✓ Continuous feedback loops
- ✓ Long-term partnership
Our Methodological Approach
We integrate qualitative and quantitative methods with a commitment to stakeholder engagement and adaptive learning. Our evaluations are designed to generate insights that are immediately actionable — not just academically interesting.
Applying sophisticated statistical and data science methods to surface meaningful patterns in complex program data.
Centering the voices of program participants, staff, and community members throughout the evaluation process.
Building feedback loops that allow programs to learn and adjust in real time based on evaluation findings.
Every evaluation considers sustainability — ensuring programs can be maintained and scaled for lasting impact.
For Evaluation Partnerships That Drive Meaningful Change
Contact DARTNet Institute's evaluation team to discuss how we can support your program assessment needs.
Contact the Evaluation Team