Abstract: Systems described herein provide structures and functionality for transforming passive analytics systems into systems that can actively modify software behavior based on analytic data to improve software performance relative to configurable goal metrics. An example method generally includes receiving, at a computing device, client-side code associated with a software application, detecting a decision-point event based on input received at the computing device from a consumer interacting with the software application; identifying time-series data stored in a session container associated with the consumer; selecting one or more different actions for the software application to perform in response to the detection of the decision-point event by comparing the time-series data and a type of the decision-point event to a decision-making policy included in the client-side code; and performing the one or more selected actions at the computing device.

Abstract: Systems described herein provide structures and functionality actively modifying software behavior based on analytic data. An example method generally includes receiving session information characterizing interactions between the consumer and a software application; receiving a goal definition specifying how to calculate a goal score based on at least one metric calculable from the session information; grouping the sessions into bins, wherein each bin corresponds to a time interval and includes sessions that have starting times within the time interval; for each session: calculating a current value of a first metric, and determining a current goal score for the session based on the current value for the first metric and the goal definition; calculating a current average goal score for each bin; and rendering a graphical plot of the current average goal scores for the bins against time as partitioned by the bins for display.

Abstract: Systems and techniques for suggesting media content contributions for a collaborative playlist are presented. The system can include a playlist component, a social component, and a suggestion component. The playlist component generates a playlist of media content in response to a request from a playlist owner. The social component invites at least one invitee to join a playlist collaboration group comprising the playlist owner and the at least one invitee. The suggestion component displays uploaded media content of the at least one invitee to allow the at least one invitee to add the uploaded media content to the playlist of the media content. The uploaded media content is determined based on a comparison of metadata of the uploaded media content with other metadata of the media content associated with the playlist.

Abstract: Systems and techniques for suggesting media content contributions for a collaborative playlist are presented. The system can include a playlist component, a social component, and a suggestion component. The playlist component generates a playlist of media content in response to a request from a playlist owner. The social component invites at least one invitee to join a playlist collaboration group comprising the playlist owner and the at least one invitee. The suggestion component displays uploaded media content of the at least one invitee to allow the at least one invitee to add the uploaded media content to the playlist of the media content. The uploaded media content is determined based on a comparison of metadata of the uploaded media content with other metadata of the media content associated with the playlist.

Abstract: Systems and techniques for suggesting media content contributions for a collaborative playlist are presented. The system can include a playlist component, a social component, and a suggestion component. The playlist component generates a playlist of media content in response to a request from a playlist owner. The social component invites at least one invitee to join a playlist collaboration group comprising the playlist owner and the at least one invitee. The suggestion component displays uploaded media content of the at least one invitee to allow the at least one invitee to add the uploaded media content to the playlist of the media content. The uploaded media content is determined based on a comparison of metadata of the uploaded media content with other metadata of the media content associated with the playlist.

Abstract: Systems and techniques for suggesting media content contributions for a collaborative playlist are presented. The system can include a playlist component, a social component, and a suggestion component. The playlist component generates a playlist of media content in response to a request from a playlist owner. The social component invites at least one invitee to join a playlist collaboration group comprising the playlist owner and the at least one invitee. The suggestion component displays uploaded media content of the at least one invitee to allow the at least one invitee to add the uploaded media content to the playlist of the media content. The uploaded media content is determined based on a comparison of metadata of the uploaded media content with other metadata of the media content associated with the playlist.