MAP Data Analysis: Three Prompts to Action
MAP Data Analysis: Three Prompts to Action ๐
Your MAP data just landed. Turn those RIT scores into curriculum-aligned instructional strategy and a team-ready action plan.
The Three Prompts
๐ง Prompt 1: Analyze Patterns and Identify Priorities
Hi [agent], I'm attaching my Fall MAP Reading data for Grade 7. We're an MYP school using Common Core standards, and I need to translate these results into instructional priorities. Based on the RIT scores and growth projections, analyze patterns across the cohort and identify the top 3 skill areas we should target this term to accelerate learning. [paste CSV, import Google Sheet, or upload pdf]
โ๏ธ Prompt 2: Design Targeted Intervention
Thank you! This is really helpful. Now, for the skill area where our students are struggling most, please design a simple, content-flexible, UDL-informed, targeted 2-week intervention plan for the relevant students, complete with appropriate learning goals and supports for metacognition.
๐ Prompt 3: Create Team Brief
Perfect! One more thing: create a concise data brief that summarizes the key insights from this analysis and our recommended action plan. Write it as a narrative I can share with my team โ include what the data showed, why these priorities matter, and what we're implementing.
How to Adapt This ๐ง
- Different assessments: Works with any standardized assessment data (NWEA, i-Ready, STAR, etc.)
- Different grade levels or subjects: Adjust the curriculum framework reference (IB, state standards, Common Core)
- School-wide analysis: Scale up by uploading data from multiple grade levels or classes
What You'll Get โจ
- Cohort-level patterns and priority skill areas identified from your data
- A 2-week intervention plan with learning goals and metacognitive supports
- A narrative data brief ready to share with your team, admin, or in PLC meetings
๐ณ Pro tip: If you're working with multiple data sources (MAP + formative assessments + observational notes), upload them all in the first prompt for a more comprehensive analysis.
Want to see where this started? Check out the original #ThreePromptThursday LinkedIn post
