Reimagining Staffing Management
Overview
This project is a proof of concept (POC) aimed at improving the efficiency and accuracy of project allocation for internal personnel within the company. We plan to build an intelligent matching system that will help Resource Managers (RMs) and Project Managers (PMs) more efficiently and precisely match personnel to suitable projects based on information such as employees' skills, language abilities, and willingness to travel. This system is expected to significantly enhance the company's overall work efficiency.
Challenges
The project's main business challenges are divided into the following three points:
Information overload: As the company expands, the amount of employee information that Resource Managers (RMs) need to remember and manage has surged, including employees' skills, language abilities, and willingness to travel, leading to inefficiency in traditional methods that rely on human memory.
Complexity in cross-regional scheduling: As project demands expand to different regions, quickly identifying employees suitable for cross-regional assignments becomes a challenge, especially when considering whether employees are willing to travel and possess cross-cultural communication skills.
Low match between skills and project requirements: Traditional staffing methods struggle to accurately measure the match between employees' actual skills and project requirements, resulting in decreased project efficiency and success rates.
Incorporating both employee and staffing teams
User Research & Interviews
To gain a deeper understanding of user needs, we conducted interviews with two core user groups in the project: Resource Managers (RMs) and employees assigned to projects.
Resource Manager (RM) Interviews:
We explored the pain points RMs face in the existing staffing process, particularly how they handle the challenge of remembering employee information and making quick decisions. We discussed the difficulties RMs encounter when managing cross-regional project assignments, as well as their expectations for an intelligent system, especially regarding matching efficiency and information visualization.
Interviews with Employees Assigned to Projects:
We inquired about employees' attitudes towards business travel and cross-regional work, particularly how personal preferences affect satisfaction with project assignments. We also sought to understand employees' expectations for showcasing their personal skills, ensuring the system can accurately reflect their abilities and career development aspirations.
Solution
To address the aforementioned challenges, we have developed an intelligent human resource matching system with the following core features:
Systematized Employee Information: Create detailed skill profiles for each employee, recording key information such as their abilities, language proficiency, and willingness to travel.
Intelligent Matching and Ranking: Automatically match employees based on project requirements. The system will rank employees according to their suitability, helping RMs quickly screen for appropriate candidates.
Cross-regional Scheduling Support: The system can schedule employees across regions, taking into account factors such as language skills and willingness to travel, improving the accuracy of cross-regional matching.
Personalized Recommendations: The system provides personalized project recommendations based on employees' career development visions and personal preferences, ensuring employee engagement and satisfaction.
The project opportunities list UI provides a streamlined view of available projects, allowing users to easily browse, filter, and select opportunities that match their skills, availability, and preferences.
The project opportunity page from the RM’s perspective presents a list of intelligently matched candidates, highlighting the top matches based on multiple criteria. Each candidate’s match details are visualized, showcasing key dimensions like skills, availability, language proficiency, and travel preferences for easy comparison and decision-making.
The project opportunity details page provides an in-depth overview of the project, including key information such as location, required skills, and other relevant criteria. Candidates can express their interest in joining the project directly or save the opportunity for future consideration.