Data Coaching Institute: Day 1 Getting Ready ESD 113 Equity Through Service

Welcome and Introductions 2

Overview of the Two Days Day 1 The big picture Getting Ready and Issues Day 2 Application to your context 3 Plan and Evaluate Diagnosing Causes Digging Deeper

Today’s Agenda Welcome and Introduction Exploring vision, purpose and challenges What questions and what data? 4 Understanding Issues

Today’s Objectives 1.Learn concepts related to: a)Team readiness for use of data b)Creating focusing questions c)Gathering, displaying and analyzing data d)Understanding underlying causes 2.Apply these concepts and related tools to real-life data and begin construction of data action plan. 5

The Big Picture Priority #1: Explore and adapt a toolset that will support teams to systemically improve how they use data. Priority #2: Build capacity to sustain and expand the use of data in systemic improvement and prepare a plan for application of new learning. 6

Your Expectations??? 7 What are you hoping to take away after these two days?

1.0 Getting Ready – 8

Don’t Be Puzzled! 9

Where We Are Going 10

Getting Ready Why? Who? How? What? Then What? 11

Self-Assessment 12

Debrief with Team, & Questions? 13

Let’s Take a Break… 14

2.0 Identify Issues 15

Identify Issues: Overview 1.Formulate Initial Questions 2.Identify Potentially Useful Data 16

Identify Issues: Scenario 17 THREE RIVERS HEAD START RIVERSIDE CENTER

Identify Issues: Questions 18 1.Your response to the issue(s) underlying the question is under your direct control. 2.Significant in terms of helping children.

Identify Issues: Questions 19 As a group: 1.Either: Select a focusing question from document 2.0 Early Learning Questions -or- Formulate your own focusing question. 2.Discuss potential source data to help answer the question.

Identify Issues: Questions 20 Example Focusing Question: “What was the kindergarten readiness for each center of the Three Rivers Program in ?”

Identify Issues: Overview 1.Formulate Initial Questions 2.Identify Potentially Useful Data 21

Identifying Issues: Data 22

Identify Issues: Questions 23 Example Focusing Question: “What was the kindergarten readiness for each center of the Three Rivers Program in ?”

2.5 Sources of Data 24 To provide the team with a protocol to follow when attempting to find data to answer a focusing question. 10 minutes

Debrief with Team, & Questions? 25

Data Institute Lunchtime! 26

3.0 Understand Issues 27

Understand Issues: Overview 1.Display data for understanding 2.Analyze the data 28

3.1 Data Display Quality Checklist 29 To provide the team with a protocol to follow when developing data displays. Variable based on the complexity of the data set and the story to be told with the data.

Understand Issues: Data Displays Using the materials provided & your data or the example data portfolio, create a mock-up of an effective data display. 30

Understand Issues: Overview 1.Display data for understanding 2.Analyze the data 31

Understand Issues: Data Analysis As a team, review the 3 data analysis protocols: Jigsaw Share Compare 32

Understand Issues: Data Carousel 33

Factual Observations 34 A statement about what the data say without any interpretation. Factual observations are the first step in the data analysis process and they provide the basis for making sound inferences. Not all observations are “factual” Observations can be colored by biases, assumptions, prejudice

Understand Issues: Data Carousel 35 Now, you get to experience a mini-carousel. Review each of the data display mock-ups, and record your objective statements in 3 categories: strengths concerns additional data needed

Debrief with Team, & Questions? 36

Let’s Take a Break… 37

4.0 Diagnose Cause(s) 38

Diagnose Causes 39 1.Identify and articulate the major problem behind an underlying issue. 2.Identify root cause or causes of a problem.

Diagnose Cause(s): Questions 40 Example Focusing Question: “What was the kindergarten readiness for each center of the Three Rivers Program in ?”

Diagnose Cause(s): Observations 41 The majority of children who are not ready for kindergarten come from the Riverside Center 60% of children at the Riverside Center score below 75% in “widely held expectations” for kindergarten readiness 20% of children are homeless, 30% of children are English language learners The average daily attendance each month is 75% 3 of 5 teachers, and center leaders are new to Head Start

Diagnose Cause(s): Protocols 42 As a team, review the 3 Root Cause Protocols, select 1 and apply it to the following statement: “60% of children at the Riverside Center score below 75% in “widely held expectations” for kindergarten readiness”

Diagnose Cause(s): Protocols 43 Example completed protocol:

Diagnose Cause(s): Protocols 44 As a team, review the 3 Root Cause Protocols, and select 1 to apply to the following statement: “60% of children at the Riverside Center score below 75% in “widely held expectations” for kindergarten readiness”

Debrief with Team, & Questions? 45

4.3A Significance &Control Protocol 46

4.3B Inter-relationship Protocol 47

EXIT TASK 48 Preparation for Day 2: As a data team, either select a root cause from today’s work - or – Create a root cause from your own data Bring this statement to the Day 2 session.

End of day and debrief? 49