Monitoring: The Overlooked Foundation of Cost-Efficient Evaluation
Many useful suggestions have already been shared on EvalforEarth and other platforms on adapting evaluation to funding constraints. In my previous contributions, I have emphasized making evaluation reports useful beyond donor accountability, including for business development, government planning, and national data needs, while applying lean data principles. To this, I would add a point I believe is often overlooked: monitoring is too often treated as the poor relation of MEAL, minimized or separated from evaluation, when both should belong to the same evidence system.
A well-designed monitoring system combines quantitative indicators with participants' perspectives. Numbers help us understand whether progress is occurring, while people's experiences help us interpret what that progress means. Why wait for a midterm or final evaluation to identify problems that could have been addressed earlier? Evaluation should not be the first time an organization learns whether its intervention is succeeding. It should build on monitoring evidence, independently test emerging findings, and investigate underlying explanations that routine monitoring cannot capture.
There is also a strong cost-efficiency argument. Projects already invest heavily in developing monitoring systems and conducting data quality assessments. Where monitoring data are reliable and suitable for the evaluation questions, establishing parallel data-collection systems is an unnecessary duplication of scarce resources. Instead, reliable and regularly updated participant records can serve as sampling frames. Existing databases, data-collection tools, feedback mechanisms, and logistical arrangements can all support evaluation activities. This reduces duplication and allows limited resources to be directed toward questions requiring deeper investigation.
Of course, this approach is not appropriate for every evaluation. Some methodologies require completely independent data collection, specialized sampling, or additional safeguards to protect evaluation independence and minimize bias. Reusing monitoring infrastructure does not necessarily mean relying on programme staff to collect evaluation data. However, in my experience, many project evaluations do not involve particularly complex survey designs, and opportunities to make better use of existing monitoring systems remain vastly underexplored.
The persistent disconnect between monitoring and evaluation represents a missed opportunity and an unnecessary use of scarce resources. Under financial pressure, the answer is not necessarily to collect more data or conduct fewer evaluations. It is to design monitoring systems from the outset to support the entire evaluation cycle, helping identify emerging evaluation questions, inform the choice and timing of evaluations, strengthen evaluability, and make better use of evidence already available. Perhaps we should spend less time asking how to make evaluations cheaper and more time asking whether our monitoring systems are designed to make evaluations more efficient, credible, and useful.
RE: Evaluation under pressure : Strengthening evidence use, accountability and learning amidst funding constraints (Joint EvalforEarth-ALNAP discussion)
Canada
Rhode Early Charles
Posted on 20/10/2026
Monitoring: The Overlooked Foundation of Cost-Efficient Evaluation
Many useful suggestions have already been shared on EvalforEarth and other platforms on adapting evaluation to funding constraints. In my previous contributions, I have emphasized making evaluation reports useful beyond donor accountability, including for business development, government planning, and national data needs, while applying lean data principles. To this, I would add a point I believe is often overlooked: monitoring is too often treated as the poor relation of MEAL, minimized or separated from evaluation, when both should belong to the same evidence system.
A well-designed monitoring system combines quantitative indicators with participants' perspectives. Numbers help us understand whether progress is occurring, while people's experiences help us interpret what that progress means. Why wait for a midterm or final evaluation to identify problems that could have been addressed earlier? Evaluation should not be the first time an organization learns whether its intervention is succeeding. It should build on monitoring evidence, independently test emerging findings, and investigate underlying explanations that routine monitoring cannot capture.
There is also a strong cost-efficiency argument. Projects already invest heavily in developing monitoring systems and conducting data quality assessments. Where monitoring data are reliable and suitable for the evaluation questions, establishing parallel data-collection systems is an unnecessary duplication of scarce resources. Instead, reliable and regularly updated participant records can serve as sampling frames. Existing databases, data-collection tools, feedback mechanisms, and logistical arrangements can all support evaluation activities. This reduces duplication and allows limited resources to be directed toward questions requiring deeper investigation.
Of course, this approach is not appropriate for every evaluation. Some methodologies require completely independent data collection, specialized sampling, or additional safeguards to protect evaluation independence and minimize bias. Reusing monitoring infrastructure does not necessarily mean relying on programme staff to collect evaluation data. However, in my experience, many project evaluations do not involve particularly complex survey designs, and opportunities to make better use of existing monitoring systems remain vastly underexplored.
The persistent disconnect between monitoring and evaluation represents a missed opportunity and an unnecessary use of scarce resources. Under financial pressure, the answer is not necessarily to collect more data or conduct fewer evaluations. It is to design monitoring systems from the outset to support the entire evaluation cycle, helping identify emerging evaluation questions, inform the choice and timing of evaluations, strengthen evaluability, and make better use of evidence already available. Perhaps we should spend less time asking how to make evaluations cheaper and more time asking whether our monitoring systems are designed to make evaluations more efficient, credible, and useful.