Suivi
Impact and results monitoring
Embedded monitoring systems to strengthen impact and results and to support decision-making, accountability and learning
What we do
Designing and implementing effective monitoring systems
We support public or private actors in designing and implementing effective monitoring systems for their interventions, supporting:
- Projects or programmes across diverse thematic and sectoral areas
- Initiatives led or funded by public institutions, development and humanitarian organisations, private actors and foundations
- Integration of monitoring, evaluation and learning systems, aligned with stakeholders’ requirements for results, reporting and accountability
Challenges we address
Overcoming barriers to effective monitoring and learning
Organisations increasingly rely on monitoring data to make informed decisions and support learning, yet face challenges that limit their ability to track, understand and adjust their interventions.
- Lack of reliable monitoring dataWithout structured monitoring systems, tracking progress, coverage and compliance is difficult, which limits the generation of useful information for decisions and learning.
- Limitations in monitoring results and performanceWeak or inconsistent indicators and monitoring systems make it hard to track outputs, changes, and intervention effects.
- Challenges integrating qualitative dimensionsDifficulty combining quantitative indicators with qualitative analysis, limiting understanding of observed changes and their underlying drivers.
- Insufficient consideration of context and risk factorsContextual changes and risks are often overlooked, limiting understanding of their impact on implementation and results.
Our methods
Data quality and participatory approaches
We design and support monitoring systems that meet Data Quality Assurance (DQA) standards while strengthening ownership, learning and the sustainable use of data.
Participatory and capacity-strengthening approaches
We actively engage stakeholders throughout the process to foster ownership, build skills, support learning and encourage sustained use of results.
Data quality
We apply robust protocols to ensure the reliability, consistency and integrity of data, supported by regular quality reviews.
Traceability and transparency
We document and share methodologies, data sources, and analytical choices clearly to promote accountability and informed decision-making.
Ethics, data protection, and security
We strictly adhere to ethical principles and data protection standards in the collection, management, and use of data.
Learn more about our quality, security and compliance framework.
What we deliver
Learn more about our quality, security and compliance framework
FAQ
Frequently asked questions
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