Social Performance Pattern Detection for Employee Goal Evaluation
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Solution Overview
Problem
Current workplace evaluation processes fail to effectively consider feedback from social media sources and do not provide guidance or recommended actions for employees to achieve their goals throughout the year, leading to incomplete assessments and missed opportunities for improvement.
Innovation Solution
A method and system that monitor communications on social networks using natural language processing to detect goal completion and determine social performance patterns, which are then used to recommend actions to employees and managers for achieving goals, incorporating feedback from social media sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional annual evaluation processes are used, then evaluation simplicity is maintained, but evaluation completeness deteriorates due to missing social media feedback and continuous performance data
Solution Approach 1:
The patent combines traditional evaluation systems with social media monitoring systems into a unified evaluation platform. The system merges structured goal data with unstructured social media communications, integrating multiple data sources (emails, calendar entries, social media posts, comments, and likes) into a comprehensive employee performance evaluation system that captures both formal and informal feedback.
Solution Approach 2:
The evaluation system performs multiple functions simultaneously: it tracks formal goal completion, monitors informal social media feedback, analyzes communication patterns, detects goal completion through natural language processing, and generates comprehensive performance assessments. This multi-functional approach ensures no feedback type is excluded while maintaining a single unified evaluation platform.
2Loss of information
If social media monitoring is added to evaluation processes, then evaluation completeness is improved, but processing time increases due to continuous monitoring requirements
Solution Approach 1:
The system pre-processes and stores social media communications, emails, and calendar data throughout the year in a structured format. By preparing and organizing data continuously in advance rather than gathering it all at once during annual evaluations, the system enables rapid analysis during assessment periods while maintaining comprehensive data coverage.
Solution Approach 2:
The patent replaces manual supervision and manual data gathering with automated natural language processing algorithms and machine learning models. These automated systems continuously monitor social media platforms, analyze communication patterns, and detect goal completion without requiring human intervention, significantly reducing the time investment needed for comprehensive evaluation.
3Productivity
If manual feedback gathering is used, then system simplicity is maintained, but feedback completeness deteriorates due to supervisor time constraints
Solution Approach 1:
The system enables employees to contribute their own performance data and goal updates through social media posts and profile updates. Employees self-document their achievements, challenges, and progress in real-time through voluntary social media activity, reducing the burden on supervisors to manually gather all performance information while ensuring comprehensive data capture.
Solution Approach 2:
The system implements continuous feedback loops where social media communications, peer comments, and supervisor interactions are automatically captured and analyzed. This creates an ongoing feedback mechanism that continuously updates performance assessments throughout the year rather than relying on periodic manual feedback collection, ensuring no relevant feedback is missed due to supervisor time constraints.
4Ease of operation
If evaluation occurs annually, then process simplicity is maintained, but goal guidance effectiveness deteriorates due to lack of continuous feedback
Solution Approach 1:
The system continuously monitors social media communications, goal progress, and performance metrics throughout the entire year rather than conducting discrete annual evaluations. This continuous tracking ensures that performance data, feedback, and goal completion information are captured in real-time, providing an unbroken chain of performance evidence that reflects actual employee development and achievements.
Solution Approach 2:
While maintaining continuous monitoring capabilities, the system generates periodic performance assessments and goal completion notifications at meaningful intervals. This periodic reporting structure provides regular guidance to employees on their progress while maintaining the simplicity of structured evaluation cycles, balancing continuous data collection with manageable assessment frequencies.
Data Source
AI summary
A method, system and computer program product for improving management and performance of an employee. An indication of a goal sponsored by an owner, such as a manager, is received. After receiving an indication of a user subscribing to the goal sponsored by the owner, communications (e.g., posts) on the social network involving the subscribed user that include a tag designating the goal may be monitored. Upon detecting a completion of the goal by the subscribed user in the monitored communications, a pattern of steps (e.g., “prepare,”“review” and “finish”) to accomplish the goal is determined based on the monitored communications. The pattern may then be used to recommend actions to other users subscribed to the goal concerning accomplishing the goal based on the pattern. Furthermore, the owner may receive indications as to the progress of the user in accomplishing the goal based on the pattern.