Abstract: An online social networking system displays notifications to members. The notifications relate to other members of the online social networking system. The system receives input from members relating to the notifications, and generates a virality of contextual conversations on the online social networking system based on the notifications and the input relating to the notifications.

Abstract: Techniques for providing improved typeahead features are described. According to various embodiments, it is determined that a user has specified, via a user interface, a first metric term. A list of one or more suggested operators associated with the first metric term is then generated and displayed, and it is determined that the user has selected one of the suggested operators. Thereafter, a list of one or more suggested metric terms associated with the selected operator is generated and displayed, and it is determined that the user has selected a second metric term from the suggested metric terms. Thereafter, a custom metric definition data entity that references information defining a custom metric is generated, the information specifying that metric values associated with the custom metric are generated by processing metric values associated with the first metric term and the second metric term based on the selected operator.

Abstract: A machine may be configured to generate A/B test reports on demand. For example, the machine causes a display of a user interface for receiving a request of a customized report of result data of an A/B test. The machine receives, via the user interface, an identifier of the A/B test, a specification of a metric associated with the result data, a specification of a dimension of the metric, a specification of a location of the result data, and a request to generate the customized report. The machine generates the metric based on the identifier of the A/B test, the specification of the metric, and the result data. The machine generates the customized report pertaining to the dimension of the metric based on the generated metric and the specification of the dimension of the metric. The machine causes a display of the customized report in the user interface.

Abstract: This disclosure relates to systems and methods for recommending qualifications for an available position. In one example, a method includes receiving user input that identifies an available position, generating a set of qualifications for the available position by determining qualifications that are included in one or more user profiles at an online social networking service, the user profiles for persons who currently hold a position at a location of the available position and similar to the available position, and recommending the set of qualifications to be included in a description of the available position.

Abstract: Techniques for conducting A/B experimentation of online content are described. According to various embodiments, a user specification of a metric associated with operation of an online social networking service is received. A set of one or more A/B experiments of online content is then identified, each A/B experiment being targeted at a segment of members of the online social networking service. Thereafter, each of the A/B experiments is ranked, based on an inferred impact on the value of the metric in response to application of a treatment variant of each A/B experiment to the online social networking service. A list of one or more of the ranked A/B experiments is then displayed, via a user interface displayed on a client device.

Abstract: Techniques for conducting A/B experimentation of online content are described. According to various embodiments, a user specification of a metric being recorded as a result of an online A/B experiment of online content is received, the online A/B experiment being targeted at a segment of members of an online social networking service. Thereafter, a power value for the A/B experiment that is associated with the metric is calculated, the power value indicating an inferred ability to detect changes in a value of the metric during performance of the A/B experiment. The power value for the A/B experiment is then displayed via a user interface displayed on a client device.

Abstract: Techniques for providing improved typeahead features are described. According to various embodiments, it is determined that a user has specified, via a user interface, a first metric term. A list of one or more suggested operators associated with the first metric term is then generated and displayed, and it is determined that the user has selected one of the suggested operators. Thereafter, a list of one or more suggested metric terms associated with the selected operator is generated and displayed, and it is determined that the user has selected a second metric term from the suggested metric terms. Thereafter, a custom metric definition data entity that references information defining a custom metric is generated, the information specifying that metric values associated with the custom metric are generated by processing metric values associated with the first metric term and the second metric term based on the selected operator.

Abstract: Techniques for providing information describing how users are funneling through various products and features of a website are described. According to various embodiments, a user specification of a first set of one or more entities is received. A data structure storing a plurality of data structure entities is then accessed, each of the data structure entities corresponding to an online user session and describing one or more user interaction events included in the corresponding online user session. A set of the plurality of data structure entities are then retrieved from the data structure, the set of the plurality of data structure entities corresponding to online user sessions that include a user interaction event with at least one of the entities in the first set. Information regarding the retrieved set of the plurality of data structure entities is then provided to a user, via a user interface.

Abstract: Techniques for providing information describing how users are funneling through various products and features of a website are described. According to various embodiments, a user specification of a first set of one or more entities is received. A user interface element is then displayed, the user interface element indicating an amount of total online user sessions that include user interactions with at least one of the entities in the first set during a specific time interval. Thereafter, a user specification of a second set of one or more entities is received. A second user interface element is then displayed, the second user interface element indicating a subset of the total online user sessions that include user interactions with at least one of the entities in the second set subsequent to the user interactions with at least one of the entities in the first set.