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Where is Shakespeare When We Need Him?

We are desperately searching for a term for people that connotes the best of human kind.  The creative, sensing, combinatorial synergistic, empathic solutioning persons that have yet to been labeled with a role name that works.

Some of the old terms:
Staff, Workforce, Human Resource, My Team, Army, Company

Shakespeare created 1700 words in his time.  He mutated verbs to nouns, and vice-a-versa, transformed verbs into adjectives, and formed words from whole cloth never before heard.  This skill is rare, but there is a poet that can create the term we need in the twenty-first century.

What should this term define?

21st Century Human Resource; the generalizing specialist.

Yes, but what more?  What less?

Suggest your poetry in the comments, let us see if we cannot do 1/1700 as well as The Bard.

By-the-way; who create the phrase "coin a word"?



So, if you want your colleagues to keep listening to you -- and liking you -- eliminate these phrases from your office vocabulary:
Give it 110%, Think outside the box, Hammer it out, Heavy lifting, Throw them under the bus, Don't count your chickens before they've hatched, Pushing the envelope, Let the cat out of the bag, Let's circle back, Win-win situation


6:52
In this fun, short talk from TEDYouth, lexicographer Erin McKean encourages — nay, cheerleads — her audience to create new words when the existing ones won’t quite do. She lists out 6 ways to make new words in English, from compounding to “verbing,” in order to make language better at expressing what we mean, and to create more ways for us to understand one another.


7:28
John Koenig loves finding words that express our unarticulated feelings — like "lachesism," the hunger for disaster, and "sonder," the realization that everyone else's lives are as complex and unknowable as our own. Here, he meditates on the meaning we assign to words and how these meanings latch onto us.


17:13
One could argue that slang words like ‘hangry,’ ‘defriend’ and ‘adorkable’ fill crucial meaning gaps in the English language, even if they don't appear in the dictionary. After all, who actually decides which words make it into those pages? Language historian Anne Curzan gives a charming look at the humans behind dictionaries, and the choices they make.


13:48
Does texting mean the death of good writing skills? John McWhorter posits that there’s much more to texting — linguistically, culturally — than it seems, and it’s all good news.

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David's notes on "Drive"

- "The Surprising Truth about what Motivates Us" by Dan Pink.

Amazon book order
What I notice first and really like is the subtle implication in the shadow of the "i" in Drive is a person taking one step in a running motion.  This brings to mind the old saying - "there is no I in TEAM".  There is however a ME in TEAM, and there is an I in DRIVE.  And when one talks about motivating a team or an individual - it all starts with - what's in it for me.

Introduction

Pink starts with an early experiment with monkeys on problem solving.  Seems the monkeys were much better problem solver's than the scientist thought they should be.  This 1949 experiment is explained as the early understanding of motivation.  At the time there were two main drivers of motivation:  biological & external influences.  Harry F. Harlow defines the third drive in a novel theory:  "The performance of the task provided intrinsic reward" (p 3).  This is Dan Pink's M…

What is your Engagement Model?

What must an Agile Transformation initiative have to be reasonably assured of success?

We "change agents" or Agilist, or Organizational Development peeps, or Trouble Makers, or Agile Coaches have been at this for nearly two decades now... one would think we have some idea of the prerequisites for one of these Transformations to actually occur.  Wonder if eight Agile Coaches in a group could come up with ONE list of necessary and sufficient conditions - an interesting experiment.  Will that list contain an "engagement model"?  I venture to assert that it will not.  When asked very few Agile Coaches, thought leaders, and change agents mention much about employee engagement in their plans, models, and "frameworks".  Stop and ask yourselves ... why?

Now good Organizational Development peeps know this is crucial, so I purposely omitted them from that list to query.

One, central very important aspect of your Agile Transformation will be your Engagement model.  

Exercise:: Definition of Ready & Done

Assuming you are on a Scrum/Agile software development team, then one of the first 'working agreements' you have created with your team is a 'Definition of Done' - right?



Oh - you don't have a definition of what aspects a user story that is done will exhibit. Well then, you need to create a list of attributes of a done story. One way to do this would be to Google 'definition of done' ... here let me do that for you: http://tinyurl.com/3br9o6n. Then you could just use someone else's definition - there DONE!

But that would be cheating -- right? It is not the artifact - the list of done criteria, that is important for your team - it is the act of doing it for themselves, it is that shared understanding of having a debate over some of the gray areas that create a true working agreement. If some of the team believes that a story being done means that there can be no bugs found in the code - but some believe that there can be some minor issues - well, …

Refactoring - examples from the book

Martin Fowler's book Refactoring:  Improving the Design of Existing Code has a simple example of a movie rental domain model, which he refactors from a less than ideal object-oriented design to a more robust OO design. Included in this Refactoring_FirstExample.zip Zip file are the Java source code files of the Movie, Rental, and Customer classes. Along with a JUnit CustomerTest class. Using these example source files you too can follow along with the refactoring that Fowler presents in the first few chapters of his book.


Metrics for a Scrum Team (examples)

What metrics do you collect to analyze your scrum team?

We live in a world of data and information.  Some people have a mindset that numbers will diagnose all problems – “just show me the data.”  Therefore many directors and senior managers wish to see some list of metrics that should indicate the productivity and efficiency of the Scrum team.  I personally believe this is something that can be felt, that human intuition is much better in this decision realm than the data that can be collected.  However, one would have to actually spend time and carefully observe the team in action to get this powerful connection to the energy in a high-performing team space.  Few leaders are willing to take this time, they delegate this information synthesis task to managers via the typical report/dashboard request.  Therefore we are asked to collect data, to condense this data into information, all while ignoring the intangible obvious signals (read Honest Signals by Sandy Pentland of MIT).
What if …