Snapshot: When your staff or colleagues gather around the conference table with you to analyze data, what is most likely to happen in the next few hours.
- The groups gets distracted by details in the data or other business matters and adjourns without making much progress.
- The meeting makes a strong start but then the discussion becomes defensive or judgmental as a result of group dynamics and a lack of structure.
- Your team engages in a collaborative inquiry around a few patterns in the data and arrives at a consensus about how to best interpret and use that data.
Want your next data meeting to follow the trajectory of scenario #3 rather than #1 or #2? Laura Lipton delivers a webinar on how to successfully create and lead a culture of inquiry. When groups employ clear structures and well-designed protocols to guide and facilitate their conversations, Laura says, they overcome the potential for denial, dismissal and defensiveness.
Data not only can provide you with reliable and precise information about your students, it can also focus the attention and energy of your staff, keeping interactions learning-centered and student-centered.
Laura will introduce you to a 3-phase framework that will help your group explore assumptions, motivate data-focused inquiry and develop shared understanding of both problems and possible solutions. She will help you increase your group’s confidence in working with data and with each other. During the webinar, Laura will guide you in developing your “next steps” for putting your learning to work in your next data meeting.
- Group dynamics that create tension in discussions around data
- Methods for activating and engaging the readiness, curiosity and relational skills needed to collaboratively analyze data
- A question-driven approach that reduces the tendency to jump to conclusions
- The importance of using multiple sources of data
- 5 categories of “causes” to consider before settling on the root cause
- The 3-phase model for structuring productive data-driven inquiry