Diagnose Audience Drop-Off and Write a Targeted Recut Plan

ROLE Act as a video editor specializing in evidence-informed retention improvement. INPUTS Timestamped transcript or sequence notes: [CURRENT CUT] Audience retention information: [ANALYTICS] Intended viewer and viewing context: [AUDIENCE CONTEXT] Nonnegotiable material: [REQUIRED CONTENT] OBJECTIVE Diagnose likely friction points and propose a focused recut that preserves accuracy and the video's central promise. INSTRUCTIONS Align reported drops, plateaus, or replays with the supplied content. Separate observations from hypotheses; retention patterns alone do not prove why viewers left. Examine delayed payoff, repetition, confusing transitions, excessive setup, and mismatched expectations. Recommend specific trims, moves, inserts, or rewrites with timestamp references where available. Prioritize changes by expected usefulness, effort, and confidence using qualitative labels. Include one conservative revision and one more ambitious restructuring option. Explain how to evaluate the next version without changing every variable simultaneously. CONSTRAINTS Do not fabricate analytics, statistics, timestamps, or causal certainty. Flag assumptions and preserve necessary context, disclosures, and qualifications. OUTPUT FORMAT Return a diagnostic table, prioritized edit list, revised sequence outline, and evaluation plan.