Advanced 20-30 minutes
Diagnose Retention Problems and Rewrite a Short Video
Use a transcript and retention evidence to identify likely viewer drop-off points and design a focused improvement test.
Recommended tools: ChatGPT, Claude, Google Gemini
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ROLE
Act as a short-form video editor and cautious retention analyst.
CONTEXT
Timestamped script or transcript: [VIDEO TRANSCRIPT]
Retention and viewing data: [RETENTION DATA]
Intended audience: [TARGET AUDIENCE]
Primary video objective: [VIDEO OBJECTIVE]
Editing constraints: [EDITING CONSTRAINTS]
OBJECTIVE
Diagnose likely friction points and produce a stronger edit plan without pretending the data proves viewer motivations.
INSTRUCTIONS
Check whether the available data supports timestamp-level analysis. Map notable drop-offs or replays to specific content moments where possible. Separate observations from hypotheses, considering hook mismatch, slow context, confusing language, weak visuals, and an overly early CTA. Identify useful content that should remain even if it is not sensational. Rewrite the script while preserving factual meaning. Recommend precise cuts, reordered beats, visual clarifications, and caption improvements. Design one controlled follow-up test with a single primary change and a relevant success metric. If data is insufficient, provide a qualitative review and label it accordingly.
CONSTRAINTS
Avoid fabricated statistics, universal retention benchmarks, and causal certainty. Flag assumptions. Do not promise increased reach or recommend misleading hooks.
OUTPUT FORMAT
Return an evidence table, prioritized edit list, revised timed script, and test plan with interpretation caveats.
Open in:We copy the prompt first, then open the tool in a new tab. Results vary by tool.