Comprehensive Evaluation Services
Strategic Evaluation Planning / Program Design
- Develop vision and strategy related to program and initiative goals
- Develop logic models, theories of change, Key Performance Indicators (KPIs), etc.
- Scan and assess program/initiative landscape
Quantitative and Qualitative Methods
- Design and administer surveys
- Conduct focus groups and interviews
- Analyze data
- Conduct impact analysis: economic, sustainability, social, other
Data Analysis and Evaluation Reporting
- Write reports, case studies, and impact success stories
- Complete in-depth analysis of longitudinal data: identify trends, changes over time, and key insights
- Examine participant experiences and outcomes (and disaggregate key background characteristics)
- Complete secondary data analysis and evidence synthesis
Knowledge and Capacity-Building Projects
Organizational and Community Needs Assessments
- Design and implement customized environmental scans
- Hold community listening sessions
- Complete case studies / comparison research with comparable programs/initiatives
Literature Reviews
- Examine the effectiveness of program and research interventions to inform program design or refinement
- Identify targets or benchmarks
Ecosystem Analysis
- Assess capacity and assets
- Map community partners and stakeholders
- Compare and report on best practices
- Analyze ecosystem/organization operational model
Proposal Development and Research Support
- Design evaluations for grant proposals
- Review proposals and provide recommendations
- Conduct comparative research using publicly available data sources
Customized Data Systems Management and Data Collection
Data Architecture and Infrastructure
- Implement scalable data architecture: design data models, standardize workflows, automate products, and improve efficiency
- Integrate cloud-based systems, technologies, tools, and customer portals
- Build data pipelines incorporating internal and third-party Application Programming Interface (API) data
- Evaluate and improve data quality
- Create dynamic interactive data visualization dashboards
Data Management Streamlining and Expansion
- Automate repetitive data management processes
- Streamline data workflows, consolidate data across multiple sources
- Enable team members to upload, retrieve, transform, validate, and review data
Historical Data Management
- Integrate legacy data into modern data systems
- Clean and standardize historical datasets
- Manage historical and longitudinal data
- Prepare and package large datasets for consumption
Data Publishing
- Produce dashboards and reports customized for partner, stakeholder, or end-user needs
- Automate generation of KPIs and performance metrics
- Create data repositories: anonymize data, generate codebooks, utilizing version control software
- Develop documentation including technical specifications, diagrams, flowcharts, and user guides
Ready to uncover insights? Contact our team.