Skip to main content

Agile Excellence for Product Managers



A few months ago, I prepared with my CARA colleagues, a session named: How to sell agile to my customers and my executive management. During the preparation, we defined some typical profiles, not related to their position, but their personality (e.g. a person with a sales behaviour). Then, for each one, we tried to define the significant factors that make their lives easier and also those that may be seen as detrimental to them.

Of those who see some interest in the results, some people, smart people, will ask for references to move forward. Most of the literature about agile, focuses on software development. We can find books about agile business, but these are generally a second step in the understanding of this culture.

So we need a book that is not too technical and lightweight. I proposed Agile Excellence to my colleagues and friends and considering their feedback, I highly recommend it.
I bought this book for myself because I was looking for a handbook focusing on my product manager position, and a book with drawings that allow me to explain agile principles easily.

The effort in story points, the detail level of a backlog, refining the user experience (UX), release plan, business value and managing multiple teams - they are all discussed. Greg Cohen chooses to use Scrum in the main chapters and talk about XP and Lean in the last one. I agree with the choice, because in my opinion this is simpler to explain to the general reader. Finally, with a small amount of description, he introduces waste elimination, presents the Process Cycle Efficiency with two efficient graphics, and mentions other lean principles.

At the moment, I really recommend Agile Excellence as a companion to Agile product managers and for those that need a tool to convince others about this culture.

Source :
280group : Agile Product Management Book
Club Agile Rhône Alpes : Vendre l'agilité aux décideurs ?

Comments

Popular posts from this blog

Lancement de ProductTank Lyon

Tout d’abord, bonne année 2020. Je me suis investi ces dernières années dans les communautés/événements CARA Lyon, MiXiTConf, LyonDataScience et CaféDevOps sur Lyon, France. Ces activités m’ont permis de comprendre les experts de ces domaines, d’apprendre quelques notions fondamentales à travers leurs exposés et d'améliorer mes capacités d’échange avec eux. Product Manager depuis plus de 5 ans, je désire améliorer mes réflexes et compétences dans mon domaine. Le faire à travers des rencontres/meetup est ce que je préfère et j’aimerais retrouver la stimulation des communautés dans cette discipline. En cette année 2020, quelques Product Manager Lyonnais, lançons, le meetup ProductTankLyon à Lyon, France. Le réseau ProductTank compte plus de 150 meetup dans le monde et profite des conférences, blog et podcast MindTheProduct. Inscrivez-vous ici , si vous voulez vous joindre à nous.

Learning about Data Science?

This is the end of a beautiful summer, and also one of the warmer recorded in France. I’m continuing my journey in the product management world and today I’m living in the product marketing one too. I will blog about this later. During this first half of this year, I read several articles on big data and started to understand how important the data science discipline is. Being able to define a direction/goal to search, collecting the proper data, then using a collection of techniques to extract something others can’t see - it sounds like magic. Also, when I listened to the Udacity Linear Disgression podcast episode “Hunting the Higgs”, I understood people with these skills can be better at solving a problem than the domain experts themselves. Katie Malone explained that in a competition to solve a particle physics problem, the best results came from machine learning people. Then I read the article about Zenefit on the vision mobile website : “Zenefits is an insurance compan

Read bead experiment

The "Read bead experiment" was created by Dr. Edward Deming and aim to demonstrate the ineffectiveness (sometimes effectiveness) of the various management methods. At the end of the experiment, a statistical graphical tool is used to analyse the experiment's results. By following this exercise, you will understand that actions taken by the people playing the managers are detrimental to the employees, but after the analyses are shown to have no impact on the efficiency of the process . The conclusion proposes ways to properly use performance data in a quality environment in order to achieve continual improvement. The several videos by Fluor Hanford (Steve Prevette) posted below, will help you to understand what is really important in a process. Meet the  company  with its "willing workers", quality control personnel, a data recorder, and a foreman. All wish to produce white beads using a 50 holed paddle, but unfortunately there are bad quality red beads.