Data-Driven Decision-Making
Templates and Tools
Guide for Teaming and Data Analysis
Summary
Data-based decision-making is inclusive of efficient data collection practices for multiple data sets and a formal continuous improvement process. This resource provides guidance for how districts and buildings might collect, analyze and respond to data at various levels of the organization. Examples of teaming structures and their feedback loops, recommended data sets to use, as well as who, when, and how data might be used and communicated are provided.
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This guide might be used by district, building, teacher, and intervention teams to examine structures and processes that support data-driven decision-making at all levels. Teams might also wish to utilize the Collaborative Learning Cycle framework found in the supporting resources as a tool for their data analysis.
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Data-driven decision-making is utilized by each system and routine found on the MI Systems Support website.
This resource is most strongly connected to:
Instructional System
Student Support System
Teacher Collaborative Routines
Data Quality Campaign. (2016, April 25). Data can help every student excel [Video]. YouTube. https://www.youtube.com/watch?v=ErE1QQvX8w8
Lipton, L., & Wellman, B. (2012). Got data? Now what? Creating and leading cultures of inquiry. Solution Tree.
Schildkamp, K., Lai, M. K., & Earl, L. (Eds.). (2012). Data-based decision making in education: Challenges and opportunities.