data-driven interventions

Data-driven interventions involve using information collected from various sources—like surveys, observations, and digital tools—to identify problems and inform solutions. Instead of relying solely on intuition, decision-makers analyze this data to understand patterns and causes. This approach helps develop targeted strategies that are more effective and efficient. For example, schools might analyze student performance data to identify who needs extra support, then tailor programs accordingly. Overall, data-driven interventions make efforts more precise and impactful by basing actions on solid evidence rather than assumptions.