Artificial Intelligence is widely used in many industries and is a powerful tool, providing continuous learning and valuable insights for its users. AI is now used in the coaching process, creating a whole new coaching experience. However, is this considered machine learning? How can AI help with coaching practice? Implementing AI Coach comes in various ways. Let’s find out how to implement AI in coaching and the things to consider in this article.
3 Types of AI Coaching
There are many AI-based coaching programs. However, these programs of AI-based coaching come with various types to help the client achieve professional goals. A company should know these are 3 types of AI Coaching before considering applying AI Coaching.
AI-Augmented Coaching
This means there is still a human coach guiding and coaching the client, however, the human coach is using artificial intelligence to elevate the learning experience further. AI also plays the role of a guide to promote further development and helps the coaching process go smoothly, ensuring the client’s personal and professional development. AI in this type of AI-driven Coaching is like a virtual assistant, helping both coaches and clients to gain data-driven insights and evidence-based insights. Coaches also use other AI-driven tools and AI-based assessments.
AI-Supported Coaching
This type is similar to AI Augmented Coaching, human coaching is still in use. This is the type where human interaction still exists. The human coach plans out a development plan for clients and the human coach sometimes uses AI to help them gain a wide range of insights into coaching needs and provide recommendations to inform the coaching relationship.
AI as the Coach
This type of coaching means client interactions are limited between the client and AI as the coach. In this type of AI Coach, the client’s personal growth and professional growth is more ensured. It’s lacking of human touch and human language, even emotional intelligence. AI-powered coaching has proven to be an effective coaching, with a side of personalized coaching for the client. Clients will gain learning experience with their learning style. This type of coaching provides higher opportunities for growth, having a holistic approach to one’s learning style.
How to Implement AI Coaching?
Despite the types mentioned above, AI-powered tools, including AI Coaching, have their rule of thumb to implement. Here are some things to consider:
Define the Role of AI in Coaching: Collect relevant data, including performance metrics, training history, and assessment details of each client. This helps the AI coach understand the learner’s background and goals and helps ensure there is solution-focused coaching for every problem that emerges. Also, establish clear goals and objectives for the AI coaching process. This ensures the AI coach is focused on providing relevant feedback and guidance, becoming an efficient coaching tool.
Decide and Use the Right AI Tools: Maximize AI as a coaching assistant. Use them as AI-powered tools to generate personalized content, such as articles or learning materials to suit specific clients. Not only that, use performance management tools to streamline performance management and create personalized reviews based on peer feedback and the strengths and weaknesses of each client. Lastly, use some tools to create engaging training videos that are easy in human conversations for clients or coaches itself. This can help the client to achieve their personal development journey.
Use AI in Your Coaching Practice Chatbots: Implementing AI Coach can also be done by using chatbots to provide instant support and guidance for common questions from potential or existing clients. This saves time and improves client satisfaction. You can also utilize virtual assistants to handle small yet administrative tasks and manage schedules, reminders, and goal tracking. Lastly, try to use machine learning algorithms to curate specific resources based on the client’s unique interests, preferences, styles, and needs.
Balance AI with Human Touch of Coaching: Upgrade AI-powered emotion recognition tools to analyze clients’ facial expressions or voice tones during video calls. This helps you better understand their emotional state and adjust your approach accordingly. You can also try to provide personalized insights or recommendations to keep clients motivated throughout their journey in developing themselves.
Use the AI Coach to Mock Conversations: Implementing AI Coach can be done by creating scenarios that cover a range of scenarios, including successful and unsuccessful interactions. This helps train the AI coach to recognize good and poor behaviors. Also, use prompts to guide the AI coach’s responses during mock conversations with clients. These prompts shape the AI’s behavior and ensure it provides feedback aligned with the model.