Start with a decision
Define who will use the evidence, for which decision and at what meeting. Build the analysis around that need.
Data becomes valuable when it changes a real decision. The supplied research summary proposes a practical pathway for education in Tajikistan.
Define who will use the evidence, for which decision and at what meeting. Build the analysis around that need.
Combine clear goals with review routines, support and follow-up. Existing data can already answer useful questions.
Use system-level assessment to identify support needs. High-stakes sanctions and public school rankings can create incentives to distort data.
Sustained practical training and a permanent analytical function help evidence survive beyond individual projects and champions.
The summary identifies an existing foundation: EMIS, annual statistical collection, NTC examination capacity and preparation for PISA. It also identifies gaps: interoperable student records, regular analytical reports, feedback for schools and districts, and formal use of analysis in budgeting and planning.
September–December: discuss the PISA findings, align leadership, assess data literacy and demonstrate two analyses using existing information.
Develop data governance, pilot school and district profiles, strengthen an analytical unit and introduce quarterly evidence reviews.
Modernise EMIS, develop interoperable systems and student identifiers, and make analytical reporting part of education management.
The infographic advises against large technology purchases before governance and operating costs are clear; dashboards without a defined review meeting; ranking targets without a baseline; and high-stakes census testing in the foundational period. Its near-term priority is functioning routines and institutional capacity in 2026–2027.