A school tracks student achievement and notes reading scores are improving while math scores decline by 4 points year over year. Which data-driven action should the principal take first?

• A. Conduct a root-cause analysis focused on math instruction quality, assessment alignment, and intervention effectiveness before policy changes.
• B. Implement a district-wide policy change immediately to address math gains.
• C. Reanalyze reading scores to ensure no data error.
• D. Increase math class time by 15 minutes.

Answer: (A)

When a specific subject is lagging while another is improving, the first move is to diagnose the root causes through a targeted analysis of math instruction quality, assessment alignment, and intervention effectiveness. This means digging into what is being taught in math, how instruction aligns with the standards and with the assessments, and whether the supports for struggling students are actually making a difference. By examining teacher practices, curriculum fidelity, time allocation, data from formative assessments, and how interventions are implemented, you identify the true levers behind the decline. With those insights, you can design precise, evidence-based actions rather than making broad policy changes that may miss the underlying issue or waste resources. Jumping straight to policy changes or simply increasing class time without understanding the why can overlook the real problems and limit impact. Reanalyzing reading scores isn’t necessary since they’re trending upward, and any data checks should be driven by specific concerns about math, not as a general precaution.