What makes a monitoring system actually work?
Having a National Action Plan does not, by itself, produce results. The next step is measuring the results and knowing whether it is working. Across the EU, countries that treated monitoring as a compliance requirement produced compliance documents; countries that treated it as a management tool produced systems that improved children's lives. This activity maps what separates the two.
"Effective monitoring and evaluation systems are prerequisites for translating policy commitments into measurable progress for children."
A functional M&E system has twelve components. Explore what each one means, and who built it.
The twelve-component framework (Görgens and Kusek, 2009, endorsed by the World Bank) organises a functional system into three pillars. Open the components that interest you, in any order, and see which countries invested in each and what it produced.
Clear roles, reporting lines and adequate resourcing across the institutions that run the system.
Member-country experience
Spain's three-level structure, Bulgaria's two-tier model, Luxembourg's Steering Committee with STATEC as data hub. The most consistently developed component across countries.
Trained people who can run the indicators and produce analysis: investing in the professionals and institutions responsible for generating and using evidence.
Member-country experience
Romania's capacity-building roadmap for local focal points; Croatia's trainings and study visits; Greece's peer-learning webinars.
Partnerships reduce fragmentation and support a coherent national approach, bringing together government entities, statistical authorities, research institutions, civil society and international organisations.
Member-country experience
Bulgaria's expert group includes civil society and academia; Italy's National Observatory; Ireland's academic and longitudinal partnerships.
Translate strategy into measurable frameworks by defining results chains, indicators, data sources, responsibilities and timelines.
Member-country experience
The most extensively developed component. Luxembourg's theories of change and three-group indicator classification; Greece's logical frameworks and indicators agreed with the Hellenic Statistical Authority.
Translate the plans into implementable activities with owners, budgets, timelines and management checkpoints.
Member-country experience
Rarely developed. National M&E budgets remain minimal across countries.
Whether the organisation actually values evidence: identifying M&E champions and developing an evidence culture inside government institutions.
Member-country experience
Rarely observed. Where evidence-use is not a habit, systems report without informing.
Regular administrative data on implementation, with clear data flows, national standardisation, monitoring connected across agencies and linked to planning processes.
Member-country experience
Widely present, but often fragmented across sectors.
Measure outcomes and dimensions not reliably captured in administrative systems, with methodological rigour, ethical standards and policy relevance.
Member-country experience
Ireland's Growing Up in Ireland longitudinal study; Lithuania's representative family survey.
Enable storage, cleaning, integration, analysis and access to data, as well as effective use and dissemination.
Member-country experience
Bulgaria's unified child database; Romania's design for an open dashboard to foster learning and benchmarking; Italy's database development.
Mechanisms that verify processes and outputs, provide corrective feedback, and track follow-up actions across the full data chain.
Member-country experience
One of the two components missing everywhere. Verification is treated as optional.
In-depth analysis of the impact of measures and of why results are or are not achieved, complementing routine monitoring data.
Member-country experience
Croatia's and Greece's evaluability assessments before evaluation; Ireland's What Works evidence base.
Actionable information that supports transparent communication and evidence-based decision-making.
Member-country experience
Dashboards get built, but the formal governance moments to review evidence and act on it are rarely established.
The two components that turn reporting into learning are the two countries leave for the end
Across all seven documented countries, the same two components sit at the bottom of the development curve: data verification and auditing, and using information for decisions. Countries build structure, plans and routine monitoring first, but treat checking whether the data are right, and building the governance moments to act on them, as afterthoughts. Yet these are precisely the two that separate a system that reports from a system that learns. This is the gap between "we have an M&E plan" and "we have a system that produces decisions".
Apply this to your context
- Of the twelve components, which two or three has your system genuinely built?
- Where does yours sit on data verification, and on using information to make decisions?
Take this to your team: the twelve components
A functional M&E system has twelve components across three pillars. Most countries build the first ones and leave two for last, data verification and using information, which are exactly the two that make the difference in the long run. Tick the components your system genuinely has functioning, and let the blanks guide your next steps.
Pillar A · People, partnerships & planning
- 1 · Structure & organisational alignment: political steering plus technical coordination, with clear mandates.
- 2 · Human capacity: trained people who can run the indicators and produce analysis.
- 3 · Partnerships & child participation: civil society, research and children formally involved in the process.
- 4 · M&E plans: a results chain and indicator framework.
- 5 · Costed M&E workplans: the system is budgeted, with a national funding line additional to donor money and European funds.
- 6 · Advocacy, communications & M&E culture: evidence is valued and used as a habit.
Pillar B · Data collection, capture & verification
- 7 · Routine monitoring: regular administrative data on implementation.
- 8 · Periodic surveys & surveillance: primary data beyond administrative records.
- 9 · Databases: interoperable data that connect across sectors.
- 10 · Supportive supervision & data auditing: the data are checked and verified. (Usually the afterthought.)
- 11 · Evaluation & research: evaluability checked first, then evaluation done.
Pillar C · Using information for decisions
- 12 · Using information to improve results: formal moments where evidence changes what gets funded. (Usually the afterthought.)
Questions
- Which components did we tick with confidence, and which did we hesitate on?
- Are components 10 and 12 (verification and information use) actually built, or assumed? If our last report went unread by anyone deciding what to fund, that is the gap.