The Minimum Viable Library is available! Explore a series of carefully curated collections of essential books, newsletters, podcasts, and tools to elevate your agile expertise.
Read on and learn how the recommendations for Scrum Masters cover a wide range of topics, including Scrum, servant leadership, customer value creation, coaching teams, improving team dynamics through Retrospectives, and navigating agile enterprise transformations.
Some Product Owners believe that a comprehensive Product Backlog is the best way to accomplish the Product Goal and be fully transparent simultaneously—never let a possibly valuable idea slip away. However, a comprehensive backlog may quickly become an oversized Product Backlog with unintended side effects.
Learn more about an oversized Product Backlog’s negative impact on innovation, your Scrum team’s ability to create value, and your relationship with stakeholders.
ChatGPT can be an excellent tool for those who know how to create prompts. The simplest form of prompting ChatGPT is to feed it the task and ask for results. However, this approach is unlikely to trigger the best response from the model.
Instead, invest more time in prompt engineering, and provide ChatGPT with a better context of the situation, desired outcomes, data, constraints, etc. The following article offers a primer to creating ChatGPT prompts for Scrum practitioners to get you started running. You will learn:
A few weeks ago, I ran a simulated job interview with ChatGPT for a fictitious Scrum Master position. Admittedly, I would not have invited this “interviewee” for an interview with other team members; however, the interview produced some remarkable answers. Consequently, I tried the same with a Product Owner position, aware of the challenges this would pose, as the Product Owner role is significantly fuzzier than the one of a Scrum Master. So, I took a few questions from the Hiring: 82 Scrum Product Owner Interview Questions guide and ran a ChatGPT Product Owner job interview.
Read on and learn whether a statistical model will challenge product people in the near future.
Last week, I ran an “interview” with ChatGPT as an applicant for a fictitious Scrum Master position based on questions from Scrum Master Interview Guide. (See below.) While the overall results were broadly acceptable, I thought that changing the ChatGPT prompts might deliver better results. So, this time, I chose to present ChatGPT with three everyday scenarios based on more comprehensive prompts. Lo and behold, it worked very well.
Think twice if you still believe this technology is a fad or a toy. Instead, grab a cup of coffee and read for yourself.
As a tactical framework, Scrum is good at delivering Increments into customers’ hands. As we work in iterations, we probably do that several times per month, mitigating risk by closing feedback loops. Nevertheless, there is a potentially hazardous void in the framework that successful Scrum teams start plugging early: how to figure out what is worth building—product discovery—in the first place. As a result, value creation in Scrum is not as straightforward as you might have thought.
