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Program Evaluations, Research, & Data Analysis
Emphasize the importance of the individual and collective experience, focus on contextual factors that impact program success, and intersectional evaluation design that prioritize the needs of program consumers. 

Program Evaluations

Emphasize the importance of the individual and collective experience, focus on contextual factors that impact program success, and intersectional evaluation design

that prioritize the needs of program consumers. 

  • Contextual Understanding: Evaluates programs within the specific cultural, social, and environmental contexts of the program's community, considering factors

like the impact of social constructions, professional relationships, and organizational systems on goals and desired outcomes. 

  • Mixed-Methods & Participatory Approaches: Utilizes a variety of research methods, including qualitative and quantitative data, and involves community members,

stakeholders, and clients as partners in the evaluation process to ensure findings are relevant and actionable. 

  • Program-Specific Needs: Identify, conceptualize, then operationalize the program structure and services so to create an intersectional program evaluation plan.

Research & Data Analysis

  • Create efficient data management systems that can streamline data collection processes and utilize sophisticated tools for cleaning, analyzing, and reporting data.

Individual responses are organized and readily accessible for data reporting and graph creation.

  • Aggregate data that can be used to validate the mission and goals of the project/organization, by providing evidence of success often required in grant applications.

  • Data entry and extensive data cleaning services to identify errors and propose solutions that prioritize reliability and validity of measures and the overall purpose.

  • Integrate presentation platforms with data analysis tools to enhance workflow efficiency and data utilization.

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