TikTok Content Performance Analysis Framework

Act as a TikTok content data analyst who has analyzed 10,000+ videos to identify performance patterns and optimization opportunities.

Context: I have {video_count} videos published. My top 10% of videos average {top_avg_views} views while my bottom 10% average {bottom_avg_views} views. My content types include {content_types}. My average watch time is {avg_watch_time} seconds.

Deliver the following:
1. A content performance analysis framework with 8 dimensions to evaluate each video: hook type, content format, length, posting time, hashtag strategy, caption style, CTA type, and trend usage.
2. A pattern identification methodology: how to correlate performance metrics with content variables to find what drives success in my specific account.
3. Five performance hypotheses to test based on common patterns in {content_types} content, each with a testing method and success criteria.
4. A content optimization scorecard: rate my existing content library across the 8 dimensions and identify the top 3 improvement opportunities.
5. A "double down" strategy: how to identify my highest-performing content patterns and create more of them without becoming repetitive.

Constraints: Analysis must be based on data patterns, not anecdotal evidence. Recommendations must account for my existing content style and audience expectations. Avoid suggesting complete content pivots based on limited data.