If you think about it, measuring the productivity levels of your company is subjective. Also, if you can’t measure something, how do you know that your company is moving forward? Actually, you and your virtual personal assistant can do that by creating metrics as your basis to measure it. There are many ways to do that. In this article, you will find out about some of them. You will also gain further insight into why these are considered important in the first place.
Why is it necessary for your virtual personal assistant to understand productivity metrics?
Needless to say, your team is meant to use productivity metrics for their own growth. Each member should have feedback. With your help, they can determine the areas of work that they can improve on and areas of strength. By knowing their strengths, it will be easier for you and your virtual personal assistant to see the skills that may need further honing in order to improve performance. On the other hand, they can undergo training as well as other programs to help improve their skills if they know their weaknesses.
As soon as you gathered the data related to your virtual personal assistant’s productivity, it’s easier to see their progress. Your team can have the number of outputs in a month as a productivity marker. If you do this, you can monitor the output and compare this with past results. For increased results, determine what your team did differently to achieve that result. If it’s healthy enough for the team to sustain, you may go for the new approach. Otherwise, determine the cause if there is a lack of productivity and work with your team to eliminate the factors that may have caused this.
There are various strategies to help you measure the productivity metrics.
Foremost, what exactly do you want to track? What’s the most relevant thing that you need to monitor to say that your company is doing well? Compare your answer to what your team currently monitors. To help you circle in on the important metrics, consider the following factors:
Profits that your company generates.
This is somewhat straightforward. If your company earns more because of modifications, there’s a high chance that you’re headed in the right direction. You also have to consider other factors that may have caused the change in profits. Some of these include the time of the year, member turnovers, and the current workload the team is handling.
Using a time tracker to monitor everyone’s progress.
This is a good indicator if you are just concerned about the amount of time they spend at work. Using the tracker will not only help you determine how much time they spend working, but it will also tell you how the team’s current project is doing. Aside from that, using a tracker will help you identify which phase of the project takes most of their time.
Time versus output that your team has in a given period.
This is considered one of the most common approaches used to determine the productivity levels. In this approach, you have to monitor both the time and the amount of work done within that period. You will then get the average amount of work completed in an hour which will then serve as your team’s metrics.
Monitor output to gauge productivity of the entire team.
Unlike the previous approaches, you just have to determine the amount of work done within a working day. It doesn’t matter how long the tasks take to complete. All that matters is that the tasks assigned during that day are completed by day’s end. This is a good choice for your metrics if your team is working on a flexible schedule.
Feedback of your team to you and their peers.
This is a tricky approach to use if you’re looking for the perfect metrics to track productivity. This approach is your go-to if you have a closely-knit team. Take note that before you start exploring this option, everyone has to undergo training first. This will help them provide feedback in accordance with your goal of looking for the perfect metrics.
Points to Keep in Mind
In considering these approaches, you need to determine your team’s preferences, working styles, and learning curves. By knowing these things, it will be easier for you to see if the metrics will be sustainable in the long run.