Common Data Sets Analyzer - Benchmarking Reach/Target/Likely

This prompt turns uploaded Common Data Sets (CDS) plus a student profile into clear Reach/Target/Likely classifications and practical, school-by-school action plans. It uses what colleges publicly report—especially C7 factor weights and mid-50% scores—to build a strategy that fits the student’s goals and timeline. • Produces School Strategy Briefs for each school (up to 8) using CDS Sections C and C7. • Classifies schools with transparent thresholds and notes where program selectivity may differ. • Benchmarks GPA, rigor, testing, and HS units against CDS mid-50% and requirements. • Recommends testing plans, ED/EA/RD timing, essay/activities positioning, and recommender strategy. • Flags top risks with fixes, deadlines, and a concise checklist. • Rolls up to a consolidated application plan with balanced Reach/Target/Likely mix.

• You upload the latest CDS files/links and share your student profile, choose the benchmarking cycle, emphasis (testing vs. essays vs. activities), and ED/EA openness. • I parse CDS data (admit rate, testing policy, C7 weights, mid-50% SAT/ACT, rigor and HS units) and compare it to the profile in a concise delta table. • Each school gets a Strategy Brief: snapshot, quantified fit diagnostics, testing and academic plan, application timing, narrative/materials focus, recommenders, and risks with fixes. • Schools are categorized using default probability bands (Reach <15%, Target ~15–35%, Likely ≥35%) adjusted for profile deltas and noted program competitiveness. • If you have multiple schools, I add a compact comparison and then deliver a consolidated plan with sequencing and key deadlines.