Research Types

• Identifies the specific needs of a target population.
• Helps determine gaps in services and prioritize resources.

Examples: Community surveys, focus groups, demographic analyses.

• Measures the effectiveness of programs and interventions.
• Helps determine what is working and what can be improved.

Examples: Pre- and post-program evaluations, longitudinal studies.

• Engages community members as partners in the research process.
• Ensures the research reflects the needs and priorities of the community.

Examples: Collaborative action plans, participatory workshops.

• Analyzes trends, preferences, and behaviors to improve outreach and fundraising efforts.
• Helps tailor messaging and engagement strategies for donors or beneficiaries.

Examples: Donor surveys, social media analytics, branding studies.

• Examines broader societal outcomes of non-profit initiatives.
• Helps non-profits demonstrate their value to stakeholders.

Examples: Case studies, economic impact assessments.

• Evaluates the viability of new programs or initiatives.
• Helps optimize resource allocation before program rollout.

Examples: Pilot studies, SWOT analysis.

• Analyzes laws, regulations, and policies affecting non-profits and the communities they serve.
• Advocates for policy changes based on evidence.

Examples: Policy briefs, stakeholder interviews.

• Identifies potential funding sources and strategies.
• Examines trends in philanthropy and donor engagement.

Examples: Grant landscape analysis, donor behavior studies.

• Focuses on strengthening the organizational capacity of non-profits.
• Helps improve efficiency, governance, and sustainability.

Examples: Organizational assessments, benchmarking studies.

• Combines research with direct action to create change.
• Empowers communities to actively participate in both research and solutions.

Examples: Collaborative problem-solving initiatives.

• Studies the behaviors and motivations of target populations.
• Helps design interventions that drive positive change.

Examples: Behavioral surveys, experimental designs.

• Uses mapping to analyze spatial data and resource distribution.
• Helps identify underserved areas and optimize resource deployment.

Examples: Mapping food deserts, service area analyses.