Teaching Paper: Data Analysis Templates for Nonprofit Decision-Making – Practical Tools for Survey, Financial, Program, and Donor Data
Author: Dr. Anna Neya Kazanskaia
Affiliation: NEYA Global | NEYA Global Publishing
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-da-temp-tp
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About
Effective data analysis is essential for nonprofits to demonstrate accountability, guide strategic planning, and improve performance. This Teaching Paper introduces four practical templates: survey data analysis for organizing and visualizing responses, financial analysis for budget comparisons and forecasting, program evaluation for linking goals with outcomes, and donor data analysis for segmentation and retention. Drawing on the works of Bryson, Drucker, and Patton, it bridges academic rigor with practical tools, equipping nonprofit professionals with actionable methods for evidence-based decision-making. A case study from a Southeast Asian NGO illustrates how these templates enhance donor retention, program outcomes, and financial discipline.
Key Topics
- Survey data analysis for nonprofit programs
- Financial variance analysis and forecasting
- Program evaluation frameworks
- Donor segmentation and retention strategies
- Accountability and evidence-based decision-making
- Practical data templates for nonprofit managers
Academic Value
This Teaching Paper contributes to nonprofit scholarship by operationalizing theory into replicable tools. While much of the literature addresses strategy and evaluation, few resources provide ready-to-use templates that nonprofit managers can implement immediately. It thus fills a critical gap between theory and practice, supporting both learning and real-world application.
Suggested Citation
Kazanskaia, A. N. (2025). Teaching Paper: Data Analysis Templates for Nonprofit Decision-Making – Practical Tools for Survey, Financial, Program, and Donor Data. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-da-temp-tp
References
Bryson, J. M. (2018). Strategic planning for public and nonprofit organizations (5th ed.). Jossey-Bass.
Drucker, P. F. (1990). Managing the nonprofit organization. HarperCollins.
Kazanskaia, A. N. (2025). Basic data analysis techniques for non-profit organizations: Descriptive statistics, exploratory approaches, and visualization. Neya Global Journal of Non-Profit Studies.
https://doi.org/10.64357/neya-gjnps-bdat-2025
Kazanskaia, A. N. (2025). Data analysis for non-profits: Foundations, practices, and strategic applications. Neya Global Journal of Non-Profit Studies.
https://doi.org/10.64357/neya-gjnps-intr-da
Kazanskaia, A. N. (2025). Data analysis templates for nonprofit decision-making – Practical tools for survey, financial, program, and donor data. Neya Global Journal of Non-Profit Studies.
https://doi.org/10.64357/neya-gjnps-da-temp-tp
Kazanskaia, A. N. (2025). Introduction to Data Analysis for Non-Profits. NEYA Global Publishing.
https://doi.org/10.64357/introduction-data-analysis-nonprofits-2025
Kazanskaia, A. N. (2025). Interpreting data analysis results in non-profit organizations: From insight to action. Neya Global Journal of Non-Profit Studies.
https://doi.org/10.64357/neya-gjnps-idar-2025
Patton, M. Q. (2008). Utilization-focused evaluation (4th ed.). Sage.
