Good Morning Inver Grove Heights Year Two: Leading
Good Morning
Inver Grove
Heights
Year Two: Leading
For Excellence
Welcome your Facilitators
Candace Raskin
Melissa Krull
Barb Wilson
Let’s learn more about the Inver
Grove Heights Team...
Pair up with someone.
Interview them…
Who are you?
Why are you a principal or school leader?
What inspires you to lead?
What stops you, if anything, from achieving the strongest results for every student?
Grounding
What did you do during opening workshop that reflects learning from last year’s institute?
A Principal’s Story
Listen for beliefs around leadership…
So….
What are your beliefs as a school leader?
The Construction Process…
Mission Vision Beliefs Behaviors
Results
7
If we believe every leader in this institute can and will generate better achievement results than they currently have…
Then every leader is held accountable with high expectations and equal access to all opportunities…
K-12 Administration
Beliefs + Behaviors =Results
Share at your table behaviors that you personally display that align with your beliefs.
How do these behaviors impact results?
Data is relevant to organizational success
Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.
Tim Berners Lee
Data is relevant to school success
Any school leader really ought to be able to ask a question that involves connecting data across the organization, be able to run a school effectively, and especially to be able to respond to unexpected events. Most schools/districts are missing this ability to connect all the data together.
Tim Berners Lee modified
What is your current data protocol?
Create an overview...
Elementary current protocol -
Secondary current protocol
Data-Driven Dialogue
Predictions and
Assumptions
Activating
Engaging
Taking Action
Generate solutions
Use Data to guide implementation
What are we going to do about it?
Exploration/Observation
Make fact statements
Use multiple sources
What do we think we see?
Explanation/Causation
ID testable explanations
Confirm with data
Why?
Step One
Predictions and Assumptions
Activate interest and bring out prior knowledge, preconceptions, and assumptions
Sentence starters
I predict
I expect to see
I anticipate
Step Two
Explore
Generate observations about performance that reflect the best thinking of the group.
Sentence Starters
It appears
The data show
I see that
It seems
Step Three
Explain – Root Cause Analysis
Generate theories of causation, keeping multiple voices in the dialogue. Deepen thinking to get to root causes.
Guiding questions
What explains our observations
What might have caused the patterns we see
Is this our best thinking
How can we narrow our explanations
What additional data sources will we explore to validate our explanations?
Step Four
Take Action
Identify solutions and prepare to take action. Then identify what additional data will be gathered to determine if action steps are being implemented and having the intended effect.
Step Four
Take Action
Plan to take action
Develop performance targets
Identify success indicators
Identify major improvement strategies
Describe associated action steps
Identify implementation benchmarks
CAUTION
Make sure that there is a direct causal link between the goal you are trying to reach and the action steps you are taking.
Data Protocol: Simulation
Apply the protocol to sample data
Step One
Before getting the data ask
“What do you expect to see in our achievement gap data?”
Data Protocol: Simulation
Hand out sample data sheets
Step Two
List facts about data. Identify trends.
Prompts…
The data shows that…
I see that…
It seems…
Data Protocol: Simulation
Dig into root causes
Step Three
Select a priority fact or data trend to focus on.
What explains this observation we have about our data?
What might have caused this trend?
What additional data source can we explore to understand this fact better?
Data Protocol: Simulation
Create an action plan
Step Four
Develop a performance target for the priority data fact/trend selected
Identify success indicators
Identify improvement strategies
Describe action steps needed to implement
Identify implementation benchmarks
Take a look at your own data…
Step One - Assumptions
Step Two – Trends and Facts
Step Three – Causes
Step Four – Action Plan
Sharing
Creating a District Data
Protocol
Return to your current data protocol
Discuss elements of your current practice that you want to keep.
What steps do you need to add?
Share in large group to create a district data protocol
Next Time
Susan Huff
Topics you want covered
Wrap up and next steps…
Complete a Data Dialogue in your building.
Bring back Step 4 – Action Plan next time we meet.
