2. Zoom both in and out. Looking at high-level data to find trends across schools, grades, and subject roles can point you towards areas of needs or factors impacting your teachers’ success. Don’t forget to sweat the small stuff too, though; consider which schools are seeing success and those who need extra attention, then tailor interventions so that they’re personalized and targeted.
Put it into practice: Filtering data is powerful. Using KickUp filters makes it easy, allowing you to sort data visualizations by attributes like grade, subject, years of experience, or schools to uncover trends.
Users like instructional coaches or principals can also filter their data to only show their teachers, then break it down by teacher interests, strengths, and learning styles. Practice using a single data visualization (like the heatmap) and sorting by different attributes, writing down any trends you see as you go. What takeaways can be drawn from this? Are there groups that could serve as teacher leads or others that may need subject-specific supports?