It’s not necessary to conduct a research project to know that happier employees work harder — but just in case you were wondering, this does boost productivity by as much as 13%.
Now, not all employee recognition programs help you achieve this goal. The good news is that recent advancements in artificial intelligence (AI) can support you and the rest of your HR and leadership teams in your quest to keep employees in your company motivated.
Here are 8 ways that AI can help your employee recognition program.
Image by lookstudio on Freepik
1. Allows Team Leads to Dive Deep Into Individual Performance
One of the main responsibilities of your leaders is to monitor the performance of their team members.
That said, most companies track so much information that managers have to spend a huge amount of time simply making sense of these numbers.
Fortunately, AI platforms can help by:
- Tracking work hours and activity levels: 80% of companies already use tracking technology to monitor their employees, but AI can help leaders analyze these statistics and identify patterns more effectively.
- Generating adherence and attrition reports: Rather than generating them manually, team leaders can rely on AI to monitor schedule adherence and employee attrition as well as create reports for each.
- Suggesting personalized messages: AI can also suggest personalized motivational messages for different employees based on their performance, so leaders can quickly personalize them before sending them out rather than writing them from scratch.
2. Minimizes Inconsistencies and Creates a More Harmonious Workplace
Inconsistent behavior can create friction in any relationship, especially in professional scenarios where employees are getting rewarded.
Humans are biased by nature, so this presents a great opportunity to rely on AI platforms that can analyze data and identify patterns without including previous biases.
Keep in mind that AI platforms are designed to learn by nature, but you can personalize a solution for your platform if you work with a knowledgeable artificial intelligence engineer.
3. Highlights Which Reward Systems Work Best
One of the oldest uses of AI is the analysis of large data sets. More specifically, the identification of patterns within gigantic databases has become too tedious for humans to perform.
This same feature can be applied to your reward system because it can actually help you understand which type of recognition results in the biggest performance boost.
For this, you need to have a statistically significant amount of information for different variables, but once you collect it, you should be able to get extremely accurate results.
4. Supports Reward Automation
As we’ve mentioned before, all humans have existing preconceptions. And the problem is that your employees know this. This, in turn, can make them lose trust in your reward system if it still requires HR team members to manually analyze performance.
By implementing AI, you can automate rewards and recognitions. As a result, your employees will feel like there’s more transparency, and your HR team members can focus on more creative parts of the job, like identifying the best types of rewards.
5. AI Can Help Identify the Need for Better Resources
One of the biggest pitfalls for team leaders is evaluating a lack of resources as poor employee performance.
The good news is that AI can help you track incidents, monitor employee feedback records, and objectively identify issues that result due to a lack of resources.
For instance, if you notice that your team members are using VPN free Wi-Fi connections that are not protected or devices with outdated software, you can highlight these before they induce an issue.
6. Helps Companies Identify Poor Leadership
Almost 60% of employees who leave a company cite their bosses as a reason for their decision. And, statistically speaking, at least a portion of them have a good point.
Identifying poor leadership within a company has always been challenging, but AI has definitely simplified this process more than ever before.
Similarly to employee-level analyses, AI can help decision-makers get a big picture of each manager’s individual performance and determine who needs to work on their leadership skills.
7. Keeps Employees More Engaged
The larger the employee base, the more difficult it is to personalize experiences.
While not perfect, AI has helped close this gap, so you can now rely on smart platforms to help employees build the right dashboards, get motivational messages, and ultimately build a closer connection with the company.
Practical Applications of AI in the Workplace
It’s essential to understand the advantages of AI before you implement it into your business and change your recognition program.
But, what do AI platforms look like when deployed in the workplace?
Let’s take a closer look.
Detailed Analytics and Projections
First off, analytics platforms that feature AI usually have a comprehensive dashboard full of valuable information bites.
Not only this, a common feature in AI is predictive analytics, an area of smart computing that focuses on making ultra-accurate projections based on historical numbers.
Gamification and Rewards
It’s also possible to implement rewards and recognition systems that have been gamified through AI.
On these platforms, employees can often create an avatar, see their automated tracker updates with their performance, and even see fun graphics whenever they achieve a milestone.
Sentiment Analysis
Lastly, sentiment analysis is another type of statistics feature that lets you figure out how your employees feel about your company, the rest of the team, and even your recognition program.
The idea is simple — the sentiment analysis platform parses reviews and similar statistics and extrapolates your employee’s feelings based on their responses.
To Wrap Up
Maintaining your employees happy is a must if you want them to achieve their maximum productivity levels, and your recognition program is a big part of this.
The good news is that you can now rely on AI as a legitimate tool to boost your employee engagement and award recognitions based on deeper, more consistent analyses.
Simple yet powerful applications like predictive analytics, gamification, reward automation, and sentiment analysis have the potential to boost employee satisfaction and performance. Don’t be afraid to explore ways these technologies can benefit your business!
Leave A Comment