TL; DR: The Definition of Done: Business Agility & Technical Excellence
Most of the time, stakeholders are not interested in how we solve their problems as long as we ethically play by the rules. Instead, they are interested in the regular delivery of valuable Increments as these pave the road to business agility. However, there is no business agility without technical excellence, which brings us to today’s topic: the importance of an actionable Definition of Done.
Learn more about twelve success principles of employing such a Definition of Done as a Scrum team to help your organization become agile.
TL; DR: Agile Transformation with ChatGPT or McBoston?
This article is another excursion into this nascent yet fascinating new technology of generative AI and LLMs and the future of knowledge work. I was interested in learning more about a typical daily challenge many agile practitioners face: How shall we successfully pursue an agile transformation? Shall we outsource the effort to one of the big consultancies — McBoston? Or shall we embark on an agile transformation with ChatGPT providing some guidance?
If technology can pass a Wharton MBA exam, maybe, it deserves some attention. We thought that AI might initially come after simple office jobs. I am no longer sure about that. Maybe, ChatGPT’s successor will start at the top of the food chain.
TL; DR: Scrum Master Interview Guide 2023: The Scrum Master Role
If you want to fill a Scrum Master position in your organization, you may find the following interview questions helpful in identifying the right candidate. They are derived from my seventeen years of practical experience with XP as well as Scrum, serving both as Product Owner and Scrum Master, as well as interviewing dozens of Scrum Master candidates on behalf of my clients. This revised set of questions addresses the Scrum Master role.
Given the remarkable results, ChatGPT recently scored in my fictitious interview for a Scrum Master position; I added extra scrutiny to the nature of the questions. While I find ChatGPT a fascinating technology, I want it to fail in this interview challenge.
So far, this Scrum Master interview guide has been downloaded more than 25,000 times.
TL; DR: ChatGPT Prompts for Scrum Practitioners
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.
TL; DR: A ChatGPT Job Interview for a Scrum Master Position
Can a large language model, not specializing in anything “agile,” pass a screening interview for a Scrum Master position? In this ChatGPT job interview, I put OpenAI’s latest generative AI to the test. I took several questions from the 73 Scrum Master Interview Questions guide, see below, covering the whole spectrum from the broad picture to more specific questions, only answerable with hands-on experience on the interviewee’s side.
So, read on and learn whether Scrum Masters will soon be replaced with a chatbot.
Scrum Master Interview: Demand Creates Supply and the Job Market for Agile Practitioners is No Exception
Scrum has proven time and again to be the most popular framework for software development. Given that software is eating the world, a seasoned Scrum Master is nowadays in high demand. And that demand causes the market-entry of new professionals from other project management branches, probably believing that reading one or two Scrum books will be sufficient. Which makes any Scrum Master interview a challenging task.
Suppose you are looking to fill a Scrum Master position in your organization. In that case, you may find the following Scrum Master interview questions helpful to identify the right candidate. They are derived from my sixteen years of practical experience with XP and Scrum, serving both as Product Owner and Scrum Master, and my training experience as a Professional Scrum Trainer with Scrum.org. Also, I have interviewed dozens of Scrum Master candidates on behalf of my clients.
So far, this Scrum Master interview guide has been downloaded more than 25,000 times.
TL; DR: The Scrum Master Salary Report 2022 — How Do You Compare?
The Scrum Master Salary Report 2022 is the third edition of the industry survey after 2017 and 2019. This free report is based on the answers of 1,113 participants globally. If you are considering a career decision this year, maybe, whether you should join the industry as a junior Scrum Master or move to a new organization or go independent, you will find the report’s information beneficial.
By the way, the average salary of the participants in the survey is $83,687, with a standard deviation of about $48,700. In the complete report, you will find more detailed information; download your copy below.
Moreover, we are considering creating a statistical model to suggest further career steps: The “Scrum Master Salary Toolkit.”
TL; DR: 82 Product Owner Interview Questions to Avoid Imposters
If you are looking to fill a position for a Product Owner in your organization, you may find the following 82 interview questions useful to identify the right candidate. They are derived from my sixteen years of practical experience with XP and Scrum, serving both as Product Owner and Scrum Master and interviewing dozens of Product Owner candidates on behalf of my clients.
So far, this Product Owner interview guide has been downloaded more than 10,000 times.
TL; DR: Scrum Training Classes, Liberating Structures Workshops, and Events
Age-of-Product.com’s parent company — Berlin Product People GmbH — offers Scrum training classes authorized by Scrum.org, Liberating Structures workshops, and hybrid training of Professional Scrum and Liberating Structures. The training classes are offered both in English and German.
Check out the upcoming timetable of training classes, workshops, meetups, and other events below and join your peers.
TL; DR: Agile Metrics
Suitable agile metrics reflect either a team’s progress in becoming agile or your organization’s progress in becoming a learning organization.
At the team level, qualitative agile metrics often work better than quantitative metrics. At the organizational level, this is reversed: quantitative agile metrics provide better insights than qualitative ones.
TL; DR: Top One Percent Product Managers — Food for Agile Thought #378
Welcome to the 378th edition of the Food for Agile Thought newsletter, shared with 36,661 peers. This week, we reflect on the (product management) industry’s obsession with the top one percent, given the ambiguity about what product managers do. Also, we analyze why Lean Startup is an excellent blueprint for Scrum teams seeking to extend their knowledge of the problem and solution space while breaking down Scrum into components and composite elements, asking: Is Scrum process-heavy? Moreover, we enjoy Jason Yip’s approach to becoming a leadership whisperer.
Then, ProductPlan released the latest edition of its ‘data-backed exploration of how product teams support the entire product lifecycle, from idea to launch and beyond,’ and we learn from a 17th-century naval disaster how not to pursue product design. Speaking of which: We are thirty years into ‘Agile,’ and Jeff Gothelf asks why so few companies incentivize learning and experimentation.
Finally, we list seven estimation anti-patterns, from pretending certainty to effort tampering to story point inflation, and reflect on the increasing popularity of tracking velocity across teams, according to data from the Annual State of Agile reports. Moreover, Sally Goble shares proven practices to get your codebase back into shape, and we advocate that forcing change is often fruitless; why not persuade them with science?
TL; DR: Spotify Model Critique — Food for Agile Thought #377
Welcome to the 377th edition of the Food for Agile Thought newsletter, shared with 36,609 peers. This week, we start with a Spotify Model critique: Jason Yip dissected what many consider an agile framework from an insider’s perspective. Also, we point to issues contributing to management’s failure to keep pace with innovation, from branded management practices vying for attention to business school complicity to confusing management with exact science, and we appreciate John Cutler’s sketch of a simple framework to become a better leader.
Then, we apply the 5C model to ‘bring some structure and product thinking to AI solutions.’ Additionally, we share practical advice on a common product management challenge: feature or product? Also, we listen to Jason Knight and Jeff Gothelf philosophizing about the necessary shift from output to outcome orientation and why organizations still struggle to do so, and we explain Spotify’s approach to validation employing the broader DIBB framework: Data, Insight, Belief, and Bet.
Finally, John Shook shares his guidelines for Gemba walks as an outside advisor, from asking why to showing respect. Moreover, RebootHQ released a bundle of free self-guided courses, and Puppet made the 10th edition of the State of DevOps Report available. Lastly, we shed light on quality metrics, defining different ones for different stakeholder groups while warning of the risks of gaming them.
TL; DR: Evidence-guided Product Discovery Using Itamar Gilad’s Confidence Meter
How much product discovery is enough? Figuring out what is worth building often feels valuable in and of itself. The problem is that becoming stuck in an endless discovery cycle neither solves your customers’ issues nor contributes to your organization’s sustainability. Don’t worry; help is on the way in the form of Itamar Gilad’s Confidence Meter!
📺 Watch the video now: How much Product Discovery Is enough? Itamar Gilad’s Confidence Meter Explained — Hands-on Agile #47.