Developing Routines for Regular Data Review

Purpose: A data review is a structured process of collecting, analyzing, and translating data into actionable insights. It helps uncover the root causes behind results (positive or negative) and drives continuous improvement. The guide emphasizes the importance of routine reflection, ensuring data translates into meaningful insights and program enhancements. It helps organizations build a culture of accountability, learning, and impact by establishing clear roles and responsibilities.

Data Review Overview

Developing routines for regular data review achieves the following:

• Institutionalizes learning and improvement.
• Turns data into action through regular reflection.
• Creates a culture of continuous improvement across the program.
• Ensures accountability for positive student impact.

Key Considerations

For each dataset you collect for your Performance Measurement Plan, outline the following:

• Collection – Who collects it? When and how?
• Review – Who analyzes it? How are insights distilled?
• Action – Who implements changes based on findings?
• Support – Who ensures those acting on the data have what they need?
• Communication – Who needs to be informed? By when and by whom?

Templates for Creating a Regular Data Review Routine

Delineating Data Review Responsibilities

Program-Wide Data Review Routine (Calendar)