1. Good Morning Inver Grove Heights Year Two: Leading For Excellence

2. Welcome your Facilitators  Candace Raskin Candace Raskin  Melissa Krull Melissa Krull  Barb Wilson Barb Wilson

3. 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? 

4. Grounding What did you do during opening workshop that reflects learning from last year’s institute?

5. A Principal’s Story  Listen for beliefs around leadership…

6. So….  What are your beliefs as a school leader?

7. The Construction Process… Mission VisionBeliefs 7 Behaviors Results

8. 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…

9. to behaviors K-12 Administration Beliefs to Behaviors

10. Beliefs + Behaviors =Results  Share at your table behaviors that you personally display that align with your beliefs.  How do these behaviors impact results?

11. 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

12. 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

13. What is your current data protocol? Create an overview...  Elementary current protocol -  Secondary current protocol

14. Data-Driven Dialogue Predictions and Assumptions Activating Engaging Exploration/Observation Make fact statements Use multiple sources What do we think we see? Explanation/Causation ID testable explanations Confirm with data Why? Taking Action Generate solutions Use Data to guide implementation What are we going to do about it?

15. 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

16. 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

17. 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?

18. 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.

19. 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.

20. 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?”

22. 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…

23. 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?

24. 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

25. Take a look at your own data…  Step One - Assumptions  Step Two – Trends and Facts  Step Three – Causes  Step Four – Action Plan

26. Sharing

27. 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

28. Next Time  Susan Huff  Topics you want covered

29. Wrap up and next steps…  Complete a Data Dialogue in your building.  Bring back Step 4 – Action Plan next time we meet.