Improvement Cycles are a cyclical three-step process that drive change in practices and strategies through the inclusion of data, stakeholders, and experiences for improvement in outcomes.
Improvement Cycles are a cyclical three-step process that drive change in practices and strategies through the inclusion of data, stakeholders, and experiences for improvement in outcomes.
The improvement cycle is the entry point for a group, team, program, or organization(s) to move forward within the Data Ladder of Inference, especially, when a rung is dependent on more than one person’s perspective. This is critical for the Data Collaborative because it drives quality insights, organization buy-in & awareness, and consensus throughout an organization.
The multiple perspectives -teacher assistants, teachers, site coordinators, directors, data managers, etc- help create clarity, generate alternative ideas, and craft new solutions within the Data Ladder of Inference process when individual data analysis and personal experience are not sufficient to move forward within the ladder. The Improvement Cycle allows for a targeted area within the Data Ladder of Inference to be done with quality, when quality data and/or secondary resources are not sufficient to move through the Data Ladder of Inference.
Improvement Cycles and Meetings, while are similar in some ways, have two major differences:
Plan, Meet, Follow-up