Donors Must Move Beyond the Logframe if Real Impact Is the Goal
A post by Peter Mureithi Kariuki
For more than half a century, the Logical Framework Approach has dominated donor-funded development. It is familiar, tidy, structured and profoundly limited. Yet donors continue to rely on it as the backbone of project design, monitoring, and impact evaluation. The result is a system that provides reporting comfort but increasingly fails to generate meaningful insight.
My research comparing two real-world impact evaluations revealed a truth many practitioners acknowledge quietly: logframes shape reality far more than they describe it. In one evaluation, fully aligned with donor requirements, tools were restricted to predetermined outcomes and indicators. The findings were neat and coherent but reflected only what the logframe had anticipated. Anything outside that linear logic was largely invisible, including unexpected impacts, cultural nuance, community-defined change, and negative or unintended effects.
In contrast, an internally funded evaluation, free from donor-imposed structures, invited respondents to share lived experiences in their own words. Participants interpreted their own data, leading to a richer and more nuanced understanding of both expected and unexpected change. The difference was not the organization, the context, or the sector, it was the freedom to allow complexity and community voice to surface.
Logframe-based evaluations tend to answer only one question: did the project achieve what we predicted it would? Yet development change rarely unfolds according to prediction. It is shaped by local norms, power dynamics, markets, shocks, gender relations, and many other factors no logframe can anticipate. When funding agreements rigidly bind implementers to predefined impacts, donors unintentionally blind themselves to unexpected positive outcomes, early signs of harm, and the interaction of social forces that shape real impact. They also discourage innovation, silence community perspectives, and reward compliance over learning.
Perhaps the most profound issue is ethical. The people whose lives are affected by development interventions have little influence over what donors require projects to measure. Communities know best which outcomes matter, what changes endure, which changes fade, and which disruptions create new risks. Yet when logframes dominate, their wisdom is filtered through externally designed categories. This is not genuine accountability; it is extraction disguised as evidence.
If donors want a clearer, more accurate understanding of the impacts they fund, they must rethink the structures that limit insight. The solution is not to discard the logframe but to stop treating it as a fixed truth. It should be treated as a hypothesis, one that evolves as learning emerges. Donors can strengthen impact by allowing logframes to be revised as projects confront new realities, by requiring community-defined indicators alongside standard ones, and by funding complexity-aware monitoring systems capable of capturing nuance and unpredictability. They should also encourage reporting on unexpected outcomes and create accountability mechanisms that reward learning rather than mere compliance.
The development sector stands at a crossroads. We can continue investing in projects that appear successful on paper but fail to reflect lived experience, or donors can lead a new era of evidence, one rooted in humility, adaptation, and genuine partnership with communities. Real accountability requires listening not only to planned indicators but also to the people whose lives development programs aim to influence. Better insight, better decisions, and better outcomes depend on the courage to move beyond linear logic and embrace the complexity of human change.
Donors have both the power and the responsibility to transform the system. The question now is whether they will choose to shape a future where impact is not just reported but truly understood.
Peter Mureithi Kariuki is a Monitoring, Evaluation, Accountability, and Learning (MEAL) expert dedicated to strengthening evidence-driven decision-making in development and humanitarian programs. He brings experience designing MEAL systems, leading evaluations, and building partner capacity across Africa and Asia. Peter is passionate about localisation and advancing data governance that empowers communities. He is an Anthralytic collaborator and occasional contributor, providing thought leadership through writing, research, and practical tools that improve program quality and impact.
Anthralytic is a studio challenging assumptions to social impact and evaluation work for mission-driven organizations.
