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Activity: Choosing Measures for Improvement

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Activity: Choosing Measures for Improvement

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Having the right evidence on hand at the moments when you have to make important decisions

is critical to leading your team towards your aim.

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Choosing Measures for Improvement Phase 4.pdf

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This "tutorial" was developed and facilitated by Kendra Tyler for ILT3, 2025.

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Learn about Improvement Science's approach to Data and Measurement.

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The three levels of data are a system of data.

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Use the prompts to keep your improvement work from being equity neutral.

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As the working representation of your theory of improvement, the driver diagram should always be considered a work in progress. As you engage in improvement work, learn more about your problem’s many manifestations, and experience successes and setbacks, your driver diagram should evolve to reflect your most current thinking. Use the guidance in this tool to prepare for revisions to your driver diagram.

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Making decisions based on appropriate data for the questions at hand can make the difference

between a teacher team that generates insight and student success and one that does little more

than spin its collective wheels.

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Drawing on all 3 types of Measures

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Learn about "Short-Term" PDSA Measures

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Learn about Driver Measures

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Learn about Outcome Measures

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The questions represent common issues that come up when selecting types of measurement for an improvement project.

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At its heart, measurement

is a tool for understanding. It gives clarity to what you are doing by serving as your eyes and ears

as you approach change, and it should above all be personal and practical with the most helpful

evidence often located nearby, embedded in your classrooms and daily routines. In this conception,

measurement is also a guide. It tells you how your progress matches your predictions, who is being

helped by your efforts (and who is being overlooked), and what you still need to do to reach your eventual goal.

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The authors of Street Data describe ways to collect street data.