Rewatching beloved TV series has become a common practice, but streaming platforms don't fully accommodate this behavior. While they efficiently skip intros and track watched episodes for first-time viewing, they don't offer tools to recreate the original viewing experience during rewatches. Fans who want to relive complete episodes - including memorable opening sequences - must currently resort to inconvenient workarounds.

The Rewatch Experience Gap

Most streaming platforms automatically track viewing history and apply features like "skip intro" based on this data. While useful initially, this creates friction for viewers who want to:

• Re-experience iconic title sequences that are part of a show's identity
• Show episodes to others exactly as they first saw them
• Analyze complete episodes for study purposes

Currently, users must either manually skip back to openings or use separate profiles, neither of which provides an ideal solution.

A Clean-Slate Approach

One way this could be addressed is by introducing a selective watch history reset feature. This could allow users to:

1. Clear viewing data for specific shows while preserving history for others
2. Trigger the platform to treat the reset show as unwatched
3. Disable automatic skipping of intros and recaps for these series

The control could be accessible from the series details page, protected by confirmation prompts to prevent accidental use. An undo option could be available for a limited time after resetting.

Strategic Implementation

Starting with a basic web implementation would allow testing core functionality before expanding to mobile apps. If successful, additional options could be introduced, like partial resets for specific seasons or episodes. Since major competitors don't offer this feature, it could serve as a subtle differentiator that enhances user satisfaction without requiring extensive development resources.

While not directly revenue-generating, such a feature could improve platform stickiness by catering to superfans who often influence others' subscription decisions. It would also demonstrate attention to viewing preferences beyond initial consumption patterns.