Improve the commitment of your teams with accurate, objective and effective feedback thanks to artificial intelligence (AI)! By automating the collection and analysis of feedback, you can improve your responsiveness and impartiality. AI also enables you to deliver more objective feedback by focusing on factual elements. Find out how to use these tools to boost the performance of your teams and become part of a culture of continuous improvement. Hélène Toye, expert trainer in communication and personal development, explains.
As a manager, you are responsible for the commitment and motivation of your employees. But how do you meet these expectations? By asking for and giving regular feedback. This feedback helps each of your employees, as well as yourself, to become aware of their strengths and identify areas for improvement. However, time constraints, subjectivity and, sometimes, a lack of training make this a complex task. This is precisely where AI comes in. It offers you an innovative solution for questioning, generating and then delivering feedback.
Thanks to AI, you can transform the way you receive and deliver feedback.
Why use AI to provide feedback?
AI, an effective and precise tool for relevant feedback
Firstly, AI makes it easier to gather information and opinions through surveys. Next, the algorithms process a large volume of data in record time. Then, AI analyses your employees' responses with precision. This information enables you to provide accurate feedback.
AI, a feedback tool for continuous improvement
AI also offers the possibility of monitoring and analysing progress on an ongoing basis. You can obtain regular reports on your teams' individual and collective performance (dashboards, heat maps, etc.). What's more, your employees can access their personal dashboards to take ownership of their progress. This proactive approach fosters a culture of continuous improvement. Your employees are encouraged to make continuous progress.
Ella's story
I consider myself to be a competent employee, but recently I've had the impression that I'm losing my footing a bit. The targets are high and my workload is increasing. I felt overwhelmed, until our AI tool came into play.
This tool monitors my commitment in real time, through satisfaction surveys, performance evaluations and even my exchanges with my manager.
One of the most useful aspects is that the AI detects my signs of demotivation, such as a drop in productivity or when I'm not achieving a target. As soon as a problem is spotted, my manager is alerted. He can quickly schedule a meeting to discuss my difficulties. This rapid follow-up allows us to readjust my objectives and find solutions to lighten my workload, which is a real relief.
What I particularly appreciate is that the tool adapts to the way I work. I like to receive detailed, written feedback after each meeting, whereas my manager prefers more direct, spontaneous exchanges. The AI adjusts the tone and format of the messages so that we both feel comfortable and understood. Thanks to this system, I feel more motivated, more involved, and above all, I feel much more supported. This personalised feedback helps me to stay on track and strengthens my relationship with my manager.
AI, a tool for objective feedback
One of the main advantages of AI is its ability to reduce the number of bias feedback. Prejudices, emotions and personal relationships influence your feedback. With AI, on the other hand, your feedback is neutral and objective. It focuses solely on performance and measurable results. As a result, you create a fairer and more transparent working environment. You also take a step back from your opinion by focusing on factual elements.
[Training]
Feedback is a powerful tool for communication and motivation.
Through practical exercises (role-playing, games, etc.), the roleUsing a variety of tools (e.g. case studies from participants), practise giving constructive feedback so that it becomes an integral part of your day-to-day management practices.
Discover the training programme Give effective feedback, practical workshop.
[Also read]
Feedback is essential for any manager who cares about the performance and well-being of his or her team.
But what are the best ways to go about it? And are there any faux pas to avoid at all costs?
Find out more about the characteristics of impactful feedback by reading the article Feedback: a lever for successful management.
AI tools for generating and analysing feedback
There are many AI platforms and software designed to facilitate the generation and analysis of feedback. Each has its own specific features. Here are a few examples:
Eletive allows customised actions based on feedback from the teams and helps to quickly identify areas requiring particular attention.
Officevibe and Culture Amp follow the evolution of commitment.
Qualtrics offers great flexibility in the creating surveys.
Zest encourages open and transparent communication and helps to identify training and development needs.
These solutions are all equipped with intuitive dashboards. They allow you to view data quickly and make informed decisions.
[Testimonial] Using AI to improve my responsiveness: from feedback analysis to action
Recently, following a survey, one of my colleagues shared a concern:
"I find the objectives and priorities lacking in clarity.
This comment was analysed by our AI system. Our tool then compared this feedback with others, similar within my team. The AI was able to identify the profiles of the people affected, particularly new arrivals.
Thanks to this analysis :
- on the one hand, I quickly spotted the problem
- secondly, I have identified the employees concerned
With these two pieces of information, I have put in place appropriate actions to improve the clarity of my communications and adjust my support for the target audience.
Integrating feedback tools into the business process
To take full advantage of AI, you need to integrate these feedback tools into existing business processes. Ideally, this means synchronising them with your HR management systems and collaboration platforms. This integration centralises the data and ensures that your feedback reflects a consistent overview of performance.
Training your users is also a challenge. They need to understand the capabilities and limitations of AI when providing feedback. What's more, they need to acquire the technical skills required to use the tools. Your approach must therefore be progressive and inclusive. Involve all your stakeholders in this transformation process.
[Training]
Prompt engineering aims to optimise communication with generative AI models.
Understanding its fundamental principles helps you develop the skills needed to create effective prompts. This makes it easy to generate specific responses or complete precise tasks.
Discover the training programme Prompt engineering, communicate effectively with artificial intelligence.
[Also read]
More than 380 professionals took the quiz Which AI should you choose for your work?
AI users are enthusiastic but cautious. More than one in four believe that AI saves them a lot of time. Nevertheless, they are concerned about the risks, with confidentiality at the top of the list.
Read all the results in the article Use and impact of AI in business - Results of the AI Quiz.
5 actions for an effective feedback request
Feedback is not a one-way street. AI also helps you gather feedback from your employees.
1. Define the objective of your feedback
Before making a request, it's important to know what you want to achieve. For example, do you want :
Assessing performance?
Getting feedback on a project?
Understanding the impact of an initiative or change?
Measuring engagement?
2. Choosing the right time to ask for feedback
Avoid busy periods for your feedback requests. That way you'll get more considered responses.
3. Use a clear and respectful tone when requesting feedback
Formulate your request for feedback in such a way as to encourage honest and constructive responses. For example: "Hi Camille, we value your opinion and would like your feedback on project X. Your feedback will help us to improve and better meet your expectations. Your feedback will help us to improve and better meet your expectations."
4. Ask specific questions
Precise questions allow you to obtain more detailed and therefore more useful answers.
5. Using AI to optimise feedback
Many AI tools offer question models, sentiment analysis and suggestions to improve the quality of the questions asked.
Designing surveys with AI: points to watch out for
Integrating AI into your feedback processes also presents challenges. Data confidentiality must be one of your concerns. You need to ensure that the data you collect is protected and used ethically. To do this, choose tools that comply with data protection regulations.
Using AI to modernise feedback has a number of advantages: it saves time, can be personalised and improves accuracy. Are your employees optimistic? If so, they see AI as a lever for accessing information more easily, improving their productivity and seizing opportunities. However, you need to reassure those who have reservations. Insist on the fact that AI is a decision-making tool, but does not replace human relations.
