Explainer: Skills Matching
All projects have a set of tasks to complete and a group of staff available to complete those tasks.
When assigning staff to tasks, you should always choose the available staff that are best suited to those tasks.
With a small team on a small project, staff assignment can be reasonably straightforward for a project manager or team leader.
However, with a large team and a large set of tasks, staff assignment becomes near impossible to get right.
Staff assignment is one of the biggest pain points for project managers, heads of departments and team leads.
You have to understand many factors when assigning staff in an optimal manner:
- The skills and expertise required to completed the task
- The duration of the task
- The start date and finish date of the task
- The skills and expertise of staff
- The availability and workload of staff
Projectal solves staff assignment problems
When you add tasks into Projectal, you simply add the skills that are required to complete the task.
And, you also add the skills and expertise of your staff in Projectal.
This allows Projectal to automatically recommend staff to tasks based on the skills.
You no longer have to guess if a staff member is available and is the right person for the job.
AI and ML at work
Staff assignment is a complex procedure when dealing with a large set of tasks and a large staff pool.
Projectal uses state-of-the-art Machine Learning (ML) and Artificial Intelligence (AI) technologies to rank and recommend staff for tasks based on over 10 different factors.
This ensures that your projects' tasks will always have the best people assigned to them based on their skills and availability.
And, it ensures that your staff are not over allocated or under allocated on tasks.
Projectal's auto scheduling features keep your project schedules always in optimal shape as you make changes during a project's lifecycle.
