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This page pulls all relevant information from the different steps reflected in the site that directly influence Goal Setting in the Data Collaborative community. It should reduce the need to click throughout the site to discover information that relates to Goal Setting in the Data Collaborative community.
Here are quick links to the information provided below (click on the bolded area you would like to jump to):
- Concepts: How is Goal Setting incorporated into the Data Collaborative project?
- People: Who is mainly responsible for Goal Setting in the Data Collaborative community?
Capacity Building: What type of Capacity Building supports Goal Setting?
Click on the section you would like to jump to below:
Goal Setting as it relates to the Data Collaborative project are reflected in routines that end in .2. The routines include:
- Reading Success Pathway 1.2: Set SMART student outcome goals targeting Reading Success Pathway skills.
- Evidence-Based Practices 2.2: Set SMART Evidence-Based Practices goals.
- Implementation 3.2: Set SMART implementation driver goals to support fidelity of Evidence-Based Practices.
What you will discover in Step 2: Concepts page is that these three routines are established at the beginning of the program. The purpose is to generate a hypothesis and direction of where you would intend the work to go and a means to understand the change that you are seeking to create. The Data Collaborative community emphasized Improvement Cycles as a way to do progress monitoring of these goals throughout the program.
Routine Quick Jump
Routine Quick Jump
The routines below will bring you to the partner portal, which is a website that is designed for participating organizations. On this page, you will be able to read through the expectations and intentions of each routine in the context of the overall work. Each routine is centered in Goal Setting for the specific pillar that it falls under.
Associated Routines
Associated Routines
Everyone is involved in Goal Setting both internally and externally. Internally, the individual coaches facilitate the Goal Setting process with their partners in their portfolios. The partners collectively create goals based on the unique context of their students, organization and capacity.
Impact
Impact
Organization Leader
Data for Impact
Data for Impact
The Data for Impact track may be most relevant to Goal Setting in the Data Collaborative community. The Data for Impact role is designed to be a senior leader in the organization that has the authority and position to decide program strategy and direction. This authority is critical to Goal Setting because it stamps what is possible within the organization and establishes a commitment within the organization for the goal.
While the other roles are important and critical to make sure the organization is primed to accomplish the work to move towards its goal, it is ultimately up to the leader charged with Data for Impact to decide whether this goal is right for the organization and program.
Training
Training
The Capacity Building section for Training and Coaching really focuses on the delivery used when giving Training and Coaching. These sections can be viewed as a turnkey. Here are the systems, processes and resources we've created to deliver a (mostly) smooth training or coaching session. All that is needed is a little prep, rehearsal and coordination. The rest of the work has been ironed out. To discover more about what we have learned through delivering training and coaching, check out our internal metrics — actual data will require permission from Read Charlotte. Anonymized data can be found in the demo version.
Training focused on building the necessary understanding of the four pillars of the Data Collaborative community to set appropriate goals. Without a strong background knowledge, the goals would not have been significant.
Coaching sessions were leveraged as a way for the Data Collaborative Team to act as thought partners with organizations that faced specific barriers in setting goals in particular pillar areas.
Coaching
Coaching
Homebase is a tool that the Data Collaborative Partners use for project management. A dedication tab within the tool is to capture and track the progress of specific goals within the four pillars of the Data Collaborative. This tool has been helpful to track progress in specific parts of the work throughout a program's duration. The design of the SMART tab and reflections in Homebase is to prompt the Partner to think of critical pieces of information when formulating a goal.
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