When Quality Coaching Meets Artificial Intelligence
Few weeks ago I published a question on Linkedin about the intersection of Quality Coaching and AI, I’m curious to see how people in coaching roles will adopt AI.
Some questions comes to my mind such as
𝗪𝗵𝗮𝘁 𝗮𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁𝘀 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗺𝗮𝗱𝗲 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗰𝘂𝗹𝘁𝗶𝘃𝗮𝘁𝗲 𝘁𝗲𝗮𝗺 𝗮𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗿𝗲𝗴𝗮𝗿𝗱𝗶𝗻𝗴 𝗔𝗜
“More coaching is needed” got the highest number of votes
This tell us many messages, such as a new challenges for the team and the organisation related to AI so the team need more support and therefore more coaching is needed.
It tell us also that team will need to learn new ways of working and how to deliver more effecively by taking the advantages of AI in consideration for the tasks that could be automated or generated by AI.
Let’s then see what kind of advantages could AI offer to us in a Coaching role, I’ll explore in the next paragraph some examples and then end the blog with some open questions that I still have about AI and Quality Coaching.
How can AI help you in your coaching role?
Let’s think about the positive side, can AI be helpful?
Certainly yes, and in particular I can mention some advantages :
- AI robots are faithful and they won’t switch to another project: there is no risk that your robot will resign from the project before the delivery of your product and quit you in a critical time with all the informations he gained from your context (something that humans could do it anytime), apart from the notice period in their contract you don’t know when they will leave you. I consider this as a great advantage, robot will play the role of a Solid knowledge base for your project, all needed informations, history could be available any time. So, Would you welcome a robot as a new team member?
- Would you use AI robot as your coaching partner ? Using AI can help you to ask better questions if you master the context and the struggle of the team you can give your questionning to AI and ask ChatGpt to make powerful open questions, this won’t be effective if you don’t know the exact context and how you can take advantage of AI.
- Personalize your coaching strategies with AI: ChatGpt is able to give you feedback about your coaching strategies and even propose some actions to put in place within the teams which could be helpful mainly if you are beginner in the role
I asked ChatGpt:
Can you help me create a quality coaching strategy for a scrum team of 8 members, my main problem is developers don’t want to test
He gave me a long answer with many ideas, some of them could be useful but you always need to do deeper reflection before accepting it. Here’s 4 tips from the long list:
Peer Reviews and Pair Programming:
Incorporate peer code reviews and pair programming sessions to foster a culture of learning and knowledge sharing within the team.
Encourage developers to review each other’s code not only for functional correctness but also for testability and maintainability.
Automated Testing:
Introduce automated testing tools and frameworks to streamline the testing process and make it less burdensome for developers.
Provide training and support to help developers learn and adopt automated testing practices effectively.
Education and Awareness:
Conduct training sessions to educate the team about the importance of testing in Agile development.
Highlight the benefits of testing, such as identifying bugs early, ensuring product quality, and reducing rework.
Feedback Mechanism:
Establish a feedback mechanism where developers can provide input on the testing process, such as the effectiveness of test cases or areas for improvement.
Actively listen to developers’ concerns and address any challenges or obstacles they face in testing.
In particular, I like the forth, it’s important to actively listen to your developers and involve them in testing processes, involve them in the retrospective, educate them, raise awareness. make it clear to them why we want to do such testing, and how this can help the whole team and the organisation and explain how they could contribute and get an overview what they still miss to perform the testing needed.
- Robots don’t have emotions, their feeling is neutral so the proposed coaching won’t be biased by the critical moments of a coach in case he is ill or tired or any other reason that could make him biased while coaching the teams
- Provide the right reference: robots will always help you find the right reference for anythink you are looking for and this will accelerate your researches
More Questions about AI and Quality Coaching
Still much more open questions that could pop up into our mind aboout Quality Coaching in the age of AI, here’s some of them.
- How do you envision AI augmenting our current quality coaching practices to accelerate value delivery within our organization?
- In what ways do you believe AI can enhance the effectiveness and efficiency of our quality coaching initiatives?
- What specific challenges or opportunities do you foresee in integrating AI technology into our quality coaching processes, and how can we address them?
- How might leveraging AI in quality coaching empower our teams to achieve higher levels of performance and productivity?
- What metrics or indicators do you think are essential for measuring the success and impact of AI-enabled quality coaching within our organization?
- How can we ensure that the introduction of AI in quality coaching aligns with our organizational values and culture?
- What potential risks or limitations do you perceive in relying on AI for quality coaching, and how can we mitigate them effectively?
- In what ways can AI-driven insights complement the expertise and experience of our quality coaches to drive continuous improvement?
- How do you envision the role of top management evolving in a future where AI plays a significant role in quality coaching?
- What steps can we take to foster a culture of innovation and experimentation as we integrate AI into our quality coaching practices?
I’m curious to see your perception about quality coaching and AI ? and what new future actions we could take ?