Abstract: A computer implemented method includes collecting collaboration information containing data representative of collaborations between at least two individuals, applying time allocation heuristics to the collected collaboration data to extract respective collaborations times for the at least two individuals, storing the extracted collaborations times on a storage device, and accessing the storage device to process queries regarding collaboration between the at least two individuals.

Abstract: A behavior change management service to create and deploy a behavior change management program. The behavior change management service processes productivity service data associated with users of a productivity service application to identify individuals a similar collaboration issue. The behavior change management service further creates a behavior change management program based on the identified collaboration issue; deploys the behavior change management program to the identified individuals; and monitors, tracks, and reports each individual's progress during the behavior change management program.

Abstract: Various embodiments of the present technology provide for a space optimization tool. More specifically, some embodiments provide for a space optimization tool that uses team collaboration patterns to guide team-to-location allocation planning. Some embodiments of the space optimization tool use social collaboration data that tracks people's communication patterns, such as how frequently teams talk to each other. The social collaboration data can be used to by the space optimization tool to guide how individuals and teams should sit on different locations (e.g., within floors, buildings, etc.). The space optimization tool can create a smart floor layout that achieves desired business outcomes, such as minimizing employee's commute time to other teams, stimulating collaborations between teams, and the like. In accordance with various embodiments, the space optimization tool can create a smart layout by using an optimization model to automatically optimize a target function at global level.

Abstract: Techniques and technologies for determining and enhancing productivity are described. In at least some embodiments, a system for includes a processing component operatively coupled to a memory; a productivity analyzer at least partially disposed in the memory, the productivity analyzer including one or more instructions that when executed by the processing component perform operations including: receive productivity data associated with usage of one or more productivity tools by at least one user during a time period; receive biometric data associated with one or more biometric aspects of the at least one user during the time period; analyze one or more aspects of the productivity data and the biometric data; and determine based on the analysis at least one productivity-related operation intended to enhance at least one productivity metric of the at least one user.

Abstract: In a method for deriving entities and metrics from collaboration data from a plurality of computing systems, collaboration data is extracted from sent mails and calendars at the plurality of computing systems of a plurality of collaborators. The collaboration data is linked to correspond to one or more entities based on an activity type and collaborator metadata of the collaboration data, linked to organizational metadata defining a structure of an organization, and linked to external entities metadata defining one or more entities outside of the organization. A library of metrics is created for the one or more entities, and the metrics are quantified. The metrics are then displayed on a display, and the metrics are analyzed metrics according to instructions received via the display.