Course Content
Finding Patterns Without Overcomplicating It
This week shows you how to turn raw data into clear insight. You will learn simple routines for trend checks, subgroup scans, and triangulation. You will finish with a short pattern scan that leads to a practical next step.
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From Patterns to Causes
This week helps you move from “what we see” to “why it might be happening”. You will practise simple diagnosis tools that reduce guesswork. You will finish with a cause map and three testable hypotheses.
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Choosing Actions That Match the Evidence
This week helps you select actions that fit the problem you have diagnosed. You will learn a simple way to choose an intervention, set success criteria, and plan implementation. You will finish with a one-page action logic model that can be shared with your team.
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Leading a Sustainable Data-to-Action Culture
This week focuses on sustainability. You will learn how to build routines, roles, and meeting protocols that make data use normal, not seasonal. You will finish the course with a complete school data decision plan.
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Data-Driven Decision-Making for School Leaders

Build a shared diagnosis that can guide action without blame.

Task

Using one pattern from Week 2, produce a one-page cause map that includes:

  1. The pattern statement.

  2. At least four possible causes, grouped into categories.

  3. A short logic chain showing how one cause could lead to the pattern.

  4. Three hypotheses written in testable form.

  5. One or two data checks you will use to test each hypothesis.

How to Write a Testable Hypothesis

Use this structure:

  • “If [cause], then we would expect to see [evidence], especially for [group/time].”

  • Add: “We will check by [method/source].”

Example:

  • “If task expectations were unclear, then we would expect weak planning and inconsistent structure in student writing samples. We will check by sampling scripts against a rubric and reviewing task sheets.”

Now create a one page document. Title it:
Week 3 cause map – [School/Campus] – [Your name]

Your work meets expectations when all are true:

  • Pattern statement is neutral and precise.

  • Causes are varied and grouped sensibly.

  • Hypotheses are testable and not blame-based.

  • Each hypothesis has a clear check.

  • Logic chain is plausible and readable.

Optional Extension

Add one “disconfirming sign” for each hypothesis.
Example: “If we do not see this evidence, the hypothesis is weak.”

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