Improving Systems, Practices, and Outcomes

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Data and Evaluation Systems

The Data and Evaluation Systems are one of four essential support structures:


The Data and Evaluation Systems are a collection of measurement tools and procedures used for data-based decision making. They are embedded in every structure and stage of the initiative.


The Data and Evaluation Systems are used to document and ensure quality, high-fidelity implementation of practices. The data generated is critical to ongoing planning and decision making throughout the initiative.

Data and Evaluation Systems will:

  • show if the State Leadership Team (SLT) is meeting the benchmarks for supporting and guiding statewide implementation of evidence-based practices
  • show if practitioner coaches are effective in improving practitioners’ fidelity in performing evidence-based practices
  • show if a program is meeting the benchmarks established for program and practice implementation fidelity
  • show if a program is achieving its desired outcomes
  • guide the Program Leadership Team (PLT) and SLT in making decisions

Watch a Learning Lab session on using data for making decisions.


SLT, PLT, and PDN collect data on progress and performance across the improvement effort and over time. This data is used to identify and evaluate implementation needs and outcomes. The Tip Sheet Series provides guidance for collecting and analyzing evidence-based practices implementation data. The Look-Think-Act Model is used to examine data for trends and meaningful associations, interpret the data, and determine future actions.

Data collection activities include:

  • SLT reviews existing program measurement instruments and selects or creates measures
  • SLT establishes data collection and reporting procedures for tracking and analyzing evaluation data
  • PDN develops procedures and training in using evaluation tools
  • SLT and programs decide: who will collect the data, how and when it will be collected, how the results will be displayed
  • SLT, PDN, and PLT collect data on progress and performance across the improvement effort and over time

Evaluating data activities include:


See: Tools