Evidence-informed grantmaking is our equity-centered, strategic framework that leverages data and partnership to deeply understand community context and complexities to guide grantmaking strategies. Our framework facilitates a process of learning at every stage of a foundation’s grantmaking cycle, both pre- and post-investment.
Evidence-informed grantmaking embeds evaluation into foundations’ strategy development and implementation, ensuring that research and data influence the process. This approach offers a platform for foundations to define a set of learning activities internally and externally in collaboration with partners such as grantees, regional and national funders, intermediaries, community members, businesses, and government agencies.
We understand that foundations are all at different stages in their learning journeys. That’s why we begin with an assessment to understand a foundation’s current culture, governance, processes, agility, and readiness to pursue an evidence-informed strategy and practice before recommending supports and co-designing solutions.
The Evidence-Informed Grantmaking Framework
To ensure that foundations successfully move through a learning journey, Mathematica will meet foundations where they are to co-create an evidence-informed grantmaking learning plan to deepen their impact. We will use the insights generated in conversation with foundations to craft their learning journey and desired impact story.
Assess readiness for evidence-informed strategy and practice.
- Dynamics and readiness
- Planning and focus
- Capacity and implementation
- Context and collaboration
- Learning and adaptation
Choose supports based on assessment and organizational goals.
- Measurement, Learning, and Evaluation (MLE)
- Strategy Development
- Grantee Capacity Building
Outputs: Develop documents, processes, tools, and skillsets for continuous learning.
- Tracking process
- Managing grant initiatives
- Performance measurement dashboards
- Convening grantees to facilitate learning
- Strategy (portfolio level) evaluation
- Case studies