Artificial Intelligence (AI) is gaining traction, and many team leaders are incorporating it into their daily routines to enhance efficiency and agility in people management. And, among the tools that are being updated to incorporate AI and improve their functions and features, surveys are no exception. In fact, this advanced technology is transforming the way companies collect and analyze data from their teams to make better decisions.
In this article, we’ll explore the benefits of using AI in your survey analysis.
What is Artificial Intelligence?
Artificial Intelligence, commonly known as AI, is a branch of computer science that focuses on creating systems capable of learning, adapting, and executing tasks that would normally require human intervention.
With artificial intelligence becoming more accessible every day, we can benefit from its many advantages:
- Enhancing productivity and efficiency.
- Improving the decision-making process.
- Personalizing the employee experience.
- Providing real-time assistance.
- Identifying patterns and predicting preventive actions to act proactively in the face of challenges.
Different forms of Artificial Intelligence
There are several types of AI, each with its own set of capabilities and applications.
So, depending on their ability to imitate human intelligence, we have:
- Weak AI: Also known as narrow AI, it specializes in a single task. An example would be a voice recognition system.
- General AI: This type of AI can perform any intellectual task in the same way that a human would, without being limited to a specific domain. For example, an application that was capable of creating original works of art, composing music, writing novels, and exploring new artistic styles or techniques. As you can imagine, this is a theoretical model that has not yet been developed.
- Superintelligent AI: Like the previous model, superintelligent AI is another theoretical model. But, in this case, would exceed the intellectual capacity of any human being.
And depending on their technical capacity, we found:
- Machine Learning: This AI uses algorithms and statistical models to allow machines to learn from data and improve their operations without being explicitly programmed.
- Deep Learning : A subset of machine learning that uses neural networks with many layers (hence the term “deep”) to examine data at many different levels, allowing you to see details that you might miss.
How is AI used to analyze data in a survey?
Yes, the use of AI is very promising. But, how does that translate into a practical application?
In the context of surveys, it means going a step further and moving from simply counting responses to a much deeper, more meaningful and revealing process of analysis.
Below, we leave you some key points that you should keep in mind:
1. Improved data quality
Artificial Intelligence contributes significantly to improving the quality of data in surveys. By using advanced algorithms, AI helps minimize errors and biases that may be present, thereby significantly enhancing the reliability and precision of the data. This is especially relevant in environments where the quality of information is crucial for making informed decisions.
2. Efficient information collection
Automation has transformed the process of data collection and processing, enabling these tasks to be executed more efficiently and completed in record time. This frees people from repetitive tasks and allows the allocation of resources to areas that require more critical human intervention, thus optimizing the overall process of collecting and cataloging information.
3. Advanced measurement
Now, Artificial Intelligence has the ability to analyze and understand the emotions behind each response in surveys, which is crucial for measuring areas of satisfaction or dissatisfaction, especially in open-ended responses. So, organizations can take specific measures based on real insights to improve the employee experience, which in the long term contributes positively to the work environment and productivity.
4. Analysis of open responses quickly and efficiently
Algorithms can automatically categorize responses and extract key themes, providing valuable qualitative insights . This not only saves time and effort, but also allows for a deeper understanding of respondents’ opinions and feelings.
5. Predictive capacity
New technologies also have the ability to identify patterns and correlations in gathered data, helping you anticipate future behaviors or preferences. This predictive ability is critical, as it allows for proactive actions to be taken before certain issues become into major problems for the organization.
6. Information accessible to everyone
Data visualization and automatic reports generated by AI make data interpretation simple and engaging. Raw numbers are transformed into intuitive and visually freindly charts, allowing even those without deep knowledge in data analysis to easily understand the information they are seeing, and thus make better decisions.
I want to analyze my surveys with Artificial Intelligence
Then you just have to sign up for Team Insights. It is the most flexible and adaptable platform specialized in employee engagement measurement on the market.
Designed by HR People for HR People and team leaders, with Team Insights you can conduct employee surveys and use AI to analyze all the responses and summarize what is most relevant to you.
Simple, easy to use, and with very powerful results:
- Better understanding of your team: Get to know your employees’ needs, concerns and suggestions to create a more engaged and productive work environment.
- Data analysis with AI: Save time by quickly identifying the main insights and areas for improvement, and create custom action plans.
- Simple and secure integration: It’s easy to use and integrates seamlessly into your existing workflows. Additionally, it ensures data security and privacy, complying with all data privacy and security regulations such as GDPR.
And it’s free! So, why don’t you try it now and see the potential of Team Insights by yourself?
