Design simple, realistic, and sustainable M&E frameworks aligned with existing data systems, with clearly assigned responsibilities and long-term funding to ensure continuity beyond initial project phases.
Integrate diverse knowledge sources—scientific, local, and traditional—while explicitly stating assumptions and using phased or partial monitoring to support learning and adaptation.
Engage communities and stakeholders by co-designing protocols, involving citizen science, providing training, and fostering stewardship to ensure inclusive and equitable monitoring.
Collect and analyse disaggregated data on social, economic, environmental, and well-being outcomes to fill knowledge gaps on NbS value and inform decision-making.
Share performance data publicly and connect M&E efforts to international frameworks to support accountability, mainstreaming, and cross-sector learning.
If possible, use decision-making tools such as digital twins to develop the monitoring and evaluation framework