Data Coaching Institute: Day 1Getting Ready

www..esd113.org

ESD 113Equity Through Service

Welcome and Introductions

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Overview of the Two Days

Day 1

The big picture

Getting Ready and Issues

Day 2

Application to your context

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Plan and Evaluate

Diagnosing Causes

Digging Deeper

Today’s Agenda

Welcome and Introduction

Exploring vision, purpose and challenges

What questions and what data?

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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.

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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.

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Your Expectations???

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

1.0 Getting Ready –

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Don’t Be Puzzled!

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Where We Are Going

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Getting Ready

Getting Ready

• Why?• Who?• How?• What?• Then What?

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Self-Assessment

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Debrief with Team, & Questions?

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Let’s Take a Break…

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2.0 Identify Issues

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Identify Issues: Overview

1. Formulate Initial Questions

2. Identify Potentially Useful Data

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Identify Issues: Scenario

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THREE RIVERS HEAD START

RIVERSIDE CENTER

Identify Issues: Questions

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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

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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

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Example Focusing Question:

“What was the kindergarten readiness for each center of the Three Rivers Program in 2011-12?”

Identify Issues: Overview

1. Formulate Initial Questions

2. Identify Potentially Useful Data

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Identifying Issues: Data

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Identify Issues: Questions

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Example Focusing Question:

“What was the kindergarten readiness for each center of the Three Rivers Program in 2011-12?”

2.5 Sources of Data

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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?

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3.0 Understand Issues

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Understand Issues: Overview

1. Display data for understanding

2. Analyze the data

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3.1 Data Display Quality Checklist

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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.

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Understand Issues: Overview

1. Display data for understanding

2. Analyze the data

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Understand Issues: Data Analysis

As a team, review the 3 data analysis protocols:• Jigsaw• Share• Compare

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Understand Issues: Data Carousel

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Factual Observations

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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

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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?

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Let’s Take a Break…

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4.0 Diagnose Cause(s)

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Diagnose Causes

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1. Identify and articulate the major problem behind an underlying issue.

2. Identify root cause or causes of a problem.

Diagnose Cause(s): Questions

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Example Focusing Question:

“What was the kindergarten readiness for each center of the Three Rivers Program in 2011-12?”

Diagnose Cause(s): Observations

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• 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

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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

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Example completed protocol:

Diagnose Cause(s): Protocols

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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?

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4.3A Significance &Control Protocol

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4.3B Inter-relationship Protocol

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EXIT TASK

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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?

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