News, media, and entertainment
AI-framed questioning | G2: Make clear how well the system can do what it can do
Apple Music | 16B: Feedback: Convey the consequences of user actions after the user takes action
Spotify | 14B: Immediate, partial, non-disruptive updates
YouTube | 14A: Comprehensive updates
NerdWallet | 11G: “What if?” explanations
Netflix | 11E: Map user behaviors to system outputs
Goodreads | 11E: Map user behaviors to system outputs
Pinterest | 11A: Local explanations
Apple Music | 10B: Avoid cold starts by eliciting user preferences
Microsoft News | 10B: Avoid cold starts by eliciting user preferences
Pattern 15C: Reporting inappropriate content
Problem User feedback is needed to identify problematic or inappropriate system outputs. Solution Implement a user-feedback mechanism at each item or instance of system output, enabling the user to flag output that is problematic, wrong, offensive, biased, or otherwise inappropriate. Leverage user feedback to identify biased, offensive, or otherwise inappropriate system outputs. Use when How […]
Pattern 15B: Request explicit feedback on selected system outputs
Problem User feedback is needed to assess the system and help it improve over time. Solution Implement a user-feedback mechanism that occasionally asks the user to provide explicit feedback for selected items or instances of system outputs. The system initiates the feedback interaction. Leverage user feedback for: Use When How Decide what type of feedback […]