Could a Scrum GPT Challenge Scrum?Masters?
Stefan Wolpers
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TL; DR: The Rise of the Scrum?GPT
Fewer Jobs for Scrum Masters, and now we see the universal Scrum GPT entering the competition: Will Scrum Masters change from essential practitioners to a niche role?
The job market is currently challenging for many agile practitioners, particularly Scrum Masters. Many are looking for new opportunities, while an increasing number of organizations consider the benefits they contribute to a team’s overall success. This is not just reflected in fewer job offerings for Scrum Masters; we also observe the demand for training significantly reduced.
To make the situation worse, AI has improved significantly over the last 12 months, too. Back in November 2023, OpenAI released GPTs, a hyper-customizable version of their GPT-4-based chatbot. (Please note that you need to have access to OpenAI’s paid version of ChatGPT to use GPTs.)
Besides the exciting market opportunity for many people with specific knowledge, data, or content, the question is what implication this new technology will have on the job market for agile practitioners when their roles are partly based on “knowledge” now available from a machine?
The most popular discussion on LinkedIn last week was: The Minimum Viable Library?—?ScrumMaster edition, version 2.0 !
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What Is a?GPT?
OpenAI introduced GPTs in November 2023: “You can now create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.” (Source .)
Think of them as a way to make your knowledge available to others through a customized Chatbot on top of GPT-4. While you do not provide direct access to your training material to third parties, you train the LLM with your data, information, and knowledge. For example, I just completed the Scrum Anti-Patterns Guide book, and I could use its complete text to train a GPT running on top of GPT-4. (Just ignore the legal side of this for a moment.)
Since OpenAI launched its GPT marketplace , many free offerings have appeared; just search for them:So, I was really excited to learn that Jeff Sutherland created such a Scrum GPT:
“?? Exciting news for Agile enthusiasts! Introducing Scrum Sage by Jeff Sutherland ??- a game-changer in the world of Agile. Launched to chatGPT subscribers today under “Explore GPTs” new feature. Standish Group data reveals a startling 58% of Agile teams struggle with delays, budget issues, and dissatisfied customers. Moreover, recent surveys indicate 88% of these teams use Scrum. ?? Why? Because of widespread misconceptions about Agile, leading to poor implementation. But don’t worry! I’m here to help turn the tide ??, offering genuine, expert advice straight from successful teams. Let’s transform Agile practices together!”
(Source .)
Of course, I reached out to Jeff and asked about the training material for the Scrum GPT: “Exciting, Jeff Sutherland! How did you train the GPT, what material did you use?” (Source .)
Jeff revealed that they mainly used the second edition of his main book: “Stefan Wolpers Base knowledge is the new Second Edition of Scrum: The Art of Doing Twice the Work in Half the Time, First Principles in Scrum and the Scrum Papers. Until we got these documents as the GPT reference we would get a lot of nonsense from chatGPT. Its data includes recommendations from the 58% of Agile teams that fail.” (Source: See the previous link.)
So, I decided to put the Jeff Sutherlands GPT to the test by comparing it to my customized standard ChatGPT.
The Prompt of the Competition
Instead of asking a simple question, I used the following prompt on designing a complete workshop on Product Backlog management to test Jeff Sutherland’s Scrum GPT and my customized standard ChatGPT 4.0:
“I am planning to create a 6-hour Product Backlog management class in the form of cohort training. There will be 3 sessions of 2 hours each spread over 4 weeks to provide time for the class attendees to apply what they learned. Essential parts of the class will be creating alignment between the Scrum team and its stakeholders, creating alignment among team members, agile product management in general, and classic Product Backlog anti-patterns identified in the Scrum Anti-Patterns Guide book. Please create a concept for this class, comprising lectures but mainly exercises covering the previously mentioned topics.”
Please note: I ran the following sessions on Sunday, January 21, 2024, from 7:10 am CET to 7:45 am CET on the model GPT-4. (This requires upgrading to ChatGPT Plus.) I did not apply Grammarly to ChatGPT’s answers.
Scrum Sage by Jeff Sutherland
This is Scrum Sage’s suggestion for the workshop:
Quote:
Based on the insights from the provided materials, here’s a concept for a 6-hour Product Backlog management class structured into three 2-hour sessions spread over 4 weeks. This format will allow participants to apply what they learn between sessions. The focus of the class will be on aligning the Scrum team with stakeholders, fostering team cohesion, understanding agile product management, and addressing Product Backlog anti-patterns.
Session 1: Introduction and Creating Alignment
Objective: Introduce Product Backlog management and start creating alignment between the Scrum team and stakeholders.
Homework: Participants are tasked with drafting a Product Backlog for a hypothetical project, considering stakeholder input and product vision.
Session 2: Team Alignment and Agile Product Management
Objective: Enhance team alignment and understanding of agile product management.
Homework: Modify and improve the Product Backlog and roadmap based on insights from the session.
Session 3: Anti-Patterns and Continuous Improvement
Objective: Identify and address common Product Backlog anti-patterns and focus on continuous improvement.
Conclusion: A wrap-up session summarizing key learnings, Q&A, and discussion on how to implement these practices in their work environment.
Throughout the course, emphasize the empirical nature of Scrum, the importance of adaptability, and the need for continuous improvement. Encourage participants to share their experiences and learnings between sessions, fostering a collaborative learning environment.
End of quote.
My Customized ChatGPT?4.0
This is the suggestion of my customized ChatGPT 4.0 for the workshop:
Quote:
Creating a 6-hour Product Backlog management class in a cohort training format, spread over 4 weeks with three 2-hour sessions, is a great approach to ensure participants have enough time to absorb and apply the concepts. Here’s a conceptual outline for your class, focusing on creating alignment, agile product management, and addressing classic Product Backlog anti-patterns:
Session 1: Introduction to Product Backlog and Stakeholder Alignment (Week 1)
Lecture (30 minutes)
Exercise (1 hour)
Group Discussion (30 minutes)
Session 2: Team Alignment and Agile Product Management (Week 2 or 3)
Lecture (30 minutes)
Exercise (1 hour)
Group Discussion (30 minutes)
Session 3: Addressing Product Backlog Anti-Patterns (Week 4)
Lecture (30 minutes)
Exercise (1 hour)
Group Discussion (30 minutes)
Additional Elements:
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This format ensures a balance between theoretical understanding and practical application, with a strong emphasis on interactive learning and real-world application.
End of quote.
Comparing two Workshop?Designs
The next stop was to compare both workshop designs, and I tasked both models, respectively, using the following prompt:
“I want you to compare your response with the following alternative response. I am particularly interested in the differences and similarities of both approaches to designing a workshop for a Product Backlog management cohort, the advantages one design may have over the other, and finally, which of the two workshop designs you consider superior.”
Find the following what Scrum Sage thinks about the workshop design of my customized ChatGPT and vice versa:
Scrum Sage by Jeff Sutherland Compares the two Workshop?Designs
Note: “First Design” refers to Scrum Sage’s suggestion; the “second design” to my customized ChatGPT design:
Quote:
The comparison between the two workshop designs for a 6-hour Product Backlog management class is as follows:
Similarities:
Differences:
Advantages:
Superior Design:
Determining which design is superior depends on the specific needs and preferences of the attendees. If the goal is to provide a practical, hands-on experience with clear objectives and tasks, the first design might be more suitable. However, if the emphasis is on engagement, varied learning styles, and a blend of theory and practice, the second design could be more effective. Both are robust in their approach and can be effective depending on the cohort’s learning style and objectives.
End of quote.
My Customized ChatGPT Compares the two Workshop?Designs:
Note: “Alternate design” refers to Scrum Sage’s suggestion; the “original design” to my customized ChatGPT design.
Quote:
Both workshop designs focus on Product Backlog management within a 6-hour class divided into three 2-hour sessions over 4 weeks. They aim to enhance participants’ understanding and skills in aligning the Scrum team with stakeholders, agile product management, and tackling Product Backlog anti-patterns. Let’s compare them based on structure, content, and pedagogical approach:
Similarities:
Differences:
Advantages:
Superiority:
Determining which design is superior depends on the participants’ needs and learning preferences:
Both designs have merit and can be effective, depending on the context and the learning style of the participants.
End of quote.
Conclusion
Considering this brief Scrum GPT experiment, which took about 30 minutes, there are two questions:
The first question has a simple answer: Of course, that is not possible. You will need to work more to turn one of the workshop designs into an actionable concept.
The second question is also not as trivial as it looks:
Ultimately, neither workshop design can be labeled “superior” to the other; it is a question of the use case:
However, the real interesting question looms is: Do we need a full-time Scrum Master per team if ChatGPT, in general, and a Scrum GPT, in particular, are already so well-positioned to deliver some core parts of a Scrum Master’s work?
Of course, a Scrum GPT will never be able to cover the human communication and relationship building of Scrum Masters and agile coaches. But what about many other aspects of their work, for example, workshop design?
As so often, humans overestimate the impact of innovation in the short term and underestimate its importance in the long term, while GPT-5 is already in the making. At $ 20 per month, ChatGPT is a steal.
PS: Should I turn the Scrum Anti-Patterns Guide into a GPT?
Scrum GPT?—?Related?Articles
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Could a Scrum GPT Challenge Scrum Masters? was first published on Age-of-Product.com .
Thanks for the experiment. GPT can replance many tasks, as long as we expect a "satisfactory" results, but not good or excellent ones. Personally, I miss issues such as "Product Strategy" and "Product Goal" in both workshop proposals, which is elementary for a good/excellent workshop, I think. I was wondering that you did not specified participants for the workshops. Might be interesting to vary the Prompt for different ones, such as POs, Scrum Team, Leaders, Stakeholders, or NewBees. Go ahead with your Anti Patterns Stefan Wolpers for your GPT :-)
Senior Data Scientist | IBM Certified Data Scientist | AI Researcher | Chief Technology Officer | Deep Learning & Machine Learning Expert | Public Speaker | Help businesses cut off costs up to 50%
10 个月Great comparison, Jeff Sutherland! Exciting to see how GPTs are shaping the future of Product Backlog management. ??
That's fascinating! Excited to see how GPTs will influence the job market.
Branding You as an Authority in Your Niche | Helping You Build a Lead Flow System with LinkedIn | Business Coaching for High-Ticket Coaches & Consultants | Creator of the Authority Brand Formula? | California Gal ??
10 个月Wow, that's fascinating! ?? Excited to see how AI impacts the Scrum Master role.
Karllestone Capital/Business Model & Design Thinking /Strategy/Fintech/Growth/SPC Business Agility Coach/Change&Transformation/Adjunct Prof.Keio Univ. Entrepreneurship & Startup/ New York Univ. Marketing & New Ventures
10 个月Actually I asked the same thing for Prod. Backlog mgmt and it was faily decent....but I also included impact scenarios on user story management