Quantitative Analytics & Mixed-Methods Evaluation
Capabilities Overview
Capabilities Overview: Quantitative Analytics & Mixed-Methods Evaluation
PIE delivers actionable, high-rigor analytics that translate complex organizational data into strategic decision-making tools for federal agencies. Driven by dedicated, full-time statistical expertise on staff, PIE specializes in unlocking the hidden value of underutilized datasets, executing primary quantitative collection, and embedding statistical insights within a practical, utilization-focused framework.
Core Quantitative Capabilities
- Primary Data Collection & Sampling: End-to-end design of statistically valid survey instruments, sampling frameworks, and quantitative data collection workflows aligned with federal evaluation standards.
- Secondary Data Maximization: Cleansing, structuring, and analyzing high-volume administrative data that agencies already hold, turning dormant internal data into actionable intelligence without straining agency resources.
- Mixed-Methods Integration: Fusing quantitative statistical modeling with qualitative contextual inquiry to provide a comprehensive view of program outcomes and operational realities.
- Utilization-Focused Analytics: Translating analytical outputs into clear, high-impact decision support tools, executive briefs, and interactive visualizations tailored for immediate application by leadership.
Key Differentiators
| Feature | The PIE Advantage | Operational Impact |
|---|---|---|
| Full-Time Statistician On Staff |
In-house mathematical oversight on every project, ensuring expert model selection and statistical validity without sub-contracting delay. | Higher precision, valid inference, and reliable compliance. |
| Bandwidth Bridge |
Dedicated analytical support designed specifically to process messy, multi-source organization data that internal teams lack the time or niche skills to evaluate. | Maximized ROI on existing agency data assets. |
| Utilization Focus |
Quantitative analysis structured around stakeholder decisions rather than academic theory. | Findings directly drive strategy and program adjustments. |
| Mixed-Methods Alignment |
Quantitative metrics are never analyzed in a vacuum; numbers are directly correlated with ground-level qualitative insights. | Context-rich evidence that explains why trends occur. |
Contact us for Quantitative Analytics & Mixed-Methods Evaluation
Corporate Headquarters
PIE Org
401 N. Michigan Ave. Ste 1200
Chicago, IL 60611-4204
Direct Contact
Email: admin@pieorg.org
Phone: (312) 448-8410
Web: www.pieorg.org
Core Practice Areas
• Logic Models
• Utilization-Focused
• Mixed-Methods
• Outcomes & Process Measurement & Improvement
Contact us today to see how we can help you!