TFT Recap
Post-Round Strategy Feedback System for Teamfight Tactics
What?
An AI-driven feature concept that would provide players with quick, actionable feedback after each round. The goal is to help players understand why they won or lost and improve more effectively.
In-Game Preview
Why?
TFT can be confusing when players don’t know why a fight went poorly. This system aims to reduce frustration and support learning while keeping the game flow smooth. It would benefit both new players and those climbing the ranks.
Rationale
League has a “Death Recap” that helps players analyze what went wrong, but TFT currently lacks a similar tool. This system reduces frustration and shortens the learning loop by offering actionable feedback after each round.
How?
Use match data and machine learning to generate relevant tips tailored to the player’s current game state.
Allow players to toggle the feature on/off and choose between beginner, intermediate, or no tips.
Display tips in a non-intrusive area of the screen that disappears quickly or can be dismissed.
Next Steps
User testing to validate tip usefulness and tone.
Iterate on tip content based on player feedback and engagement data.
Explore deeper personalization based on player style and history.
