Course Content
Introduction to Data-Driven Decision-Making in Education
0/6
The Leadership Problem Data Should Solve
The Main Data Types in Schools
Quality, Bias, and Common Traps
Ethics, Privacy, and Trust
Activity: Draft Your Minimum Viable Dashboard
Week 1 Quiz
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.
0/6
What Patterns Matter, and Why
The Pattern Scan Routine Leaders Can Teach
Triangulation: Making Safer Inferences
Simple Visuals Leaders Should Use Well
Assignment: Pattern Scan and Next Step
Week 2 Quiz
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.
0/6
Correlation is Not Causation, and Why Leaders Get Caught
Root Cause Tools That Work in Schools
Leading and Lagging Indicators: What to Watch First
How much evidence is enough to act
Assignment: Cause Map and Three Testable Hypotheses
Week 3 Quiz
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.
0/6
Interventions Fail When They Do Not Match the Problem
Choosing Actions: The Decision Checklist
Success Criteria and Decision Rules
Implementation Basics Leaders Must Protect
Assignment: One-page Action Logic Model
Week 4 Quiz
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.
0/6
Roles and Routines That Make Data Use Normal
A Meeting Protocol for Data Conversations That Build Trust
Reporting for Boards and Families Without Losing Meaning
The Continuous Improvement Cycle Leaders Should Embed
Capstone: School Data Decision Plan
Week 5 Quiz
Data-Driven Decision-Making for School Leaders

Many school measures arrive too late to guide action. Leaders need early signals as well as end results.

Lagging indicators
These tell you what happened after the fact.

  • End-of-term grades

  • External test results

  • Graduation outcomes

  • Semester wellbeing survey totals

Leading indicators
These tell you what is likely to happen next.

  • Attendance and punctuality trend

  • Assignment completion trend

  • Behaviour frequency trend

  • Walkthrough patterns in instruction

  • Student work quality sampling

A practical pairing rule
For every lagging indicator you track, choose at least one leading indicator that could influence it.

Example:

  • Lagging: Writing achievement level

  • Leading: Evidence of explicit success criteria in tasks and feedback frequency

A leadership warning
A leading indicator is only useful if you can influence it.

Key Takeaways

  • Leading indicators support earlier, smaller adjustments.

  • Pair leading and lagging measures to reduce surprise.

  • Choose indicators you can act on.

Quick Check

Take one outcome you care about. Name one leading indicator you can influence within two weeks.

Previous
Next
Learn, grow, and lead with confidence—subscribe for insights that transform challenges into opportunities!
This is default text for notification bar
Learn more