Shorts Retention Diagnosis Packet

# Shorts Retention Diagnosis Packet

Shorts analytics can tempt creators to make fast conclusions from one upload. A diagnosis packet slows that down. It collects the video promise, traffic context, retention shape, replay or spike moments, and comment signals before suggesting an edit change.

## 1. Identify the comparison set
Compare the Short with recent videos of similar length, topic, and format. A 12-second joke, a 45-second tutorial, and a 60-second product walkthrough should not be judged by the same expectation.

## 2. Describe the retention shape
Use plain language: early cliff, gradual taper, middle dip, late spike, loop replay, or stable hold. The graph shape matters because each one points to a different edit question.

## 3. Watch the timestamp
If there is a dip or spike, watch the video at that point. Do not infer from the chart alone. A spike can mean interest, confusion, replay value, or a shareable moment. A dip can mean mismatch, boredom, unclear audio, or a transition problem.

## 4. Add audience signal
Comments, saves, remixes, subscribers, and returning viewers can change interpretation. A video with lower raw reach but strong subscriber conversion may still support a series.

## Packet fields
Video id, length, format, promise, comparison group, retention shape, notable timestamp, likely cause, next edit test, what not to conclude.

This packet prevents creators from treating every underperforming Short as proof that the entire niche failed.

Shorts Retention Diagnosis Packet

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