Innovations in Monitoring and Evaluation Systems for Project Tracking: Applying Global Best Practices in Nairobi

This paper examined how innovative monitoring and evaluation (M&E) systems can improve the project tracking and service delivery in Nairobi City County in Kenya. Regardless of the increasing interest in evidence-based governance, the county has been struggling with the problems of inadequate coordination, insufficient technical capacity, and poor citizen engagement. The Results-Based Management (RBM) theory guided the study and conceptualizes monitoring and evaluation as key feedback loops of accountability and learning. The research was anchored on three objectives, which included to determine the impact of novel M&E tools in project tracking; to investigate the contextualization of global best practices in the governance systems of the city of Nairobi; and to assess the role that knowledge management and citizen participation play in the accountability and service delivery. A review of recent studies (2022-2025) from across Africa, Europe and Kenya included an assessment of both advances and deficiencies in the uptake of dashboards, geospatial tools, participatory frameworks and indicator alignment with the sustainable development goals. The research methodology was mixed, including surveys, interviews, focus groups and document analysis. A purposive sample of 50 respondents which included 20 county officials, 15 project implementers and 15 community representatives was chosen. Descriptive statistics, correlations and regression models were used to analyze quantitative data whereas thematic analysis was carried out on the qualitative data. Results indicated that dashboards and GIS had a significant effect on timeliness and accountability, which accounted 65.9% of the service delivery results variance. Citizen participation and knowledge management structures were good but were not systematically institutionalized. Interest insights revealed that the experience of Nairobi was similar to those of other African cities, where the global structures are partially embraced but limited by a lack of resources and technical issues. This paper finds that Nairobi ought to institutionalize the hybrid M&E frameworks of digital innovations and participatory mechanisms. Such policies like the adoption of RBM-based frameworks on a county-wide basis, the investment in digital capacity, and the implementation of structured citizen feedback platforms are suggested as the policy recommendations. Practically, the county should focus on training, inter-departmental coordination, and the digitization of citizen engagement to help improve accountability and sustainable service delivery.

Monitoring and Evaluation, Project Tracking, Innovations

1. Santos, A. M. (2023). Monitoring and evaluation of transformative innovation policy. Research Policy, 52(5), Article 104725. https://www.sciencedirect.com/science/article/pii/S0038012123002264?utm_source= [Google Scholar] [Crossref]

2. Otorkpa, O. J., et al. (2025). Enhancing monitoring and evaluation of digital health: integrating big data analytics and artificial intelligence. PMC / NCBI. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11926576/ [Google Scholar] [Crossref]

3. Ogise, A., & Gachengo, L. (2023). Monitoring and evaluation systems and the performance of disease-specific health projects in Homa Bay County, Kenya. The Strategic Journal of Business & Change Management, 10(4), 1388–1406. http://dx.doi.org/10.61426/sjbcm.v10i4.2825 [Google Scholar] [Crossref]

4. Makau, J. M., & Kiarie, F. K. (2024). Monitoring & evaluation practices and performance of county funded health projects in Mombasa County, Kenya. International Academic Journal of Economics and Finance, 4(3), 15–27. https://iajournals.org/articles/iajef_v4_i3_15_27.pdf [Google Scholar] [Crossref]

5. Roberton, T., et al. (2022). Building coherent monitoring and evaluation plans with the “best-fit” approach. Global Health Action, 15, 2067396. https://doi.org/10.1080/16549716.2022.2067396 [Google Scholar] [Crossref]

6. Tanui, S. J. (2023). An exploration of the extent of monitoring and evaluation of sustainable practices: barriers in the Kenyan construction industry. Sustainability, 15(19), 14415. https://doi.org/10.3390/su151914415 [Google Scholar] [Crossref]

7. Norman, G., et al. (2022). Approaches to enabling rapid evaluation of innovations in health and social care. BMJ Open, 12(9), e062072. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580278/ [Google Scholar] [Crossref]

8. Oginga, P. A., et al. (2023). Influence of participatory monitoring and evaluation on decision-making in maternal and newborn health. PMC / NCBI. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485134/ [Google Scholar] [Crossref]

9. Issak, E., & Silas, K. (2023). Monitoring and evaluation systems on performance of community health workers programme in Banadir region, Somalia. International Journal of Science and Research, 12(11). https://chwcentral.org/wp-content/uploads/Monitoring-and-Evaluation-Systems-on-Performance-of-Community-Health-Workers-Programme-in-Banadir-Region-Somalia.pdf?utm_source [Google Scholar] [Crossref]

10. Nduati, P. K., Luketero, S. W., Kisimbii, J. M., & Mwenda, M. N. (2024). Monitoring and evaluation tools and performance of climate smart agricultural productivity programs in Kitui County, Kenya. International Journal of Professional Business Review, 9(12), 01–21. https://dialnet.unirioja.es/descarga/articulo/9868432.pdf [Google Scholar] [Crossref]

11. Mwanga, D. M., et al. (2024). A digital dashboard for reporting mental, neurological and substance use disorders in Nairobi, Kenya: Implementing an open source data technology for improving health data reporting. PMC. https://pubmed.ncbi.nlm.nih.gov/39485812/ [Google Scholar] [Crossref]

12. Kamau, C. G., et al. (2025). Monitoring and evaluation pitfalls and project success of community development projects in Kenya. Multi-Research Journal, Article PDF. https://www.multiresearchjournal.com/admin/uploads/archives/archive-1747635445.pdf [Google Scholar] [Crossref]

13. Ogise, A., & Gachengo, L. (2023). Monitoring and evaluation systems and the performance of disease-specific health projects in Homa Bay County, Kenya. The Strategic Journal of Business & Change Management, 10(4), 1388–1406. http://dx.doi.org/10.61426/sjbcm.v10i4.2825 [Google Scholar] [Crossref]

14. Anderson, N. W. (2023). Dashboards as mechanisms for community empowerment. Journal of Public Health Management & Practice. https://journals.lww.com/jphmp/ fulltext/2023/07000/dashboards_as_mechanisms_for_community.15.aspx [Google Scholar] [Crossref]

15. Roura, M., et al. (2024). Use of results-oriented monitoring tools to enhance accountability of large global health programmes. PMC / NCBI. https://pmc.ncbi.nlm.nih.gov/articles/PMC11751940/ [Google Scholar] [Crossref]

16. Niestroy, I. (2022). Constructing assessment indicator dashboards for public administration and governance. In PS4SD / JRC Report. https://www.ps4sd.eu/wp-content/uploads/2023/09/2022-JRC-Niestroy-report-1.pdf [Google Scholar] [Crossref]

17. Mwangangi, N. S., Mulwa, A., Kyalo, D. N., & Ombati, T. (2024). Participatory monitoring and evaluation on completion of Kenya police housing scheme projects. International Journal of Professional Business Review, 9(9). https://doi.org/10.26668/businessreview/2024.v9i9.4839 [Google Scholar] [Crossref]

18. Oginga, P. A., Muraya, K., Moses, M., & Towett, H. (2023). Influence of participatory monitoring and evaluation on decision-making in maternal and newborn health. PMC / NCBI. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485134/ [Google Scholar] [Crossref]

19. Chisika, S., & Yeom, K. (2024). Enhancing citizen participation in local development planning: Case studies of Nairobi and Makueni Counties. Visions in Sustainable Development, 21, 233–257. http://dx.doi.org/10.13135/2384-8677/9394 [Google Scholar] [Crossref]

20. Mabillard, V., et al. (2025). A Mixed-Method Approach to Evaluating Citizen Engagement in Municipal Monitoring and Evaluation. Media & Communication. https://www.cogitatiopress.com/mediaandcommunication/article/download/10354/4525 [Google Scholar] [Crossref]

21. Oberthür, S. (2025). Public participation in EU climate governance: Assessing national energy and climate plans. Journal of Environmental Policy & Planning. https://doi.org/10.1080/07036337.2025.2460194 [Google Scholar] [Crossref]

22. Moodie, J. R. (2022). From impact assessments towards proactive citizen participation in policymaking. Policy & Society, 41(3). https://doi.org/10.1080/14494035.2022.1628162 [Google Scholar] [Crossref]

23. Analyzed how deeper citizen involvement in monitoring and evaluation (beyond impact assessment) adds legitimacy and better policy responsiveness. Advocates more continuous feedback loops. [Google Scholar] [Crossref]

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