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The Impact of Leadership on Business Outcomes

photo of Joe Folkman

Joe Folkman

Guest post by Joe Folkman

Have you ever been part of an organization where things were proceeding smoothly, where goals were achieved, people were busy and the organization was doing well? Then, a new leader came and everything suddenly changed for the better. The energy level of employees went up substantially, pride in the organization increased, the effort and dedication of individuals jumped, bold objectives were enthusiastically accepted and even greater results were achieved. The differences were not only measurable by the accountants, but everyone could feel it.

Perhaps you had the opposite experience where things were things were going along smoothly and a new leader was introduced and things quickly began to fall apart. High performers quit, conflicts became more apparent, work seemed much less important and there was no fun. Colleagues skulked into corners, not wanting to be engaged. Overall satisfaction decreased. Grousing and carping criticism of the leaders became rampant. People receiving promotions were chosen because of politics, not performance. Management decisions felt arbitrary and unfair. Results began to slide, and employees became the cause of the problems as much as the economy or market conditions. Key employees were laid off while the remaining people were asked to carry a bigger load. Results continued to decline, and your job felt increasingly harder and you found yourself beginning to think about quitting.

Those who have experienced great leadership or poor leadership have felt the difference. Could these changes have been predicted? Are there clear correlations between the effectiveness of a leader and the success of an organization?

Case Study on the Impact of Leadership on Customer Satisfaction
A large telecommunication company was focused on an effort to improve customer satisfaction ratings. The company wanted to know which factors impacted the customer satisfaction. A group of 81 leaders received 360 feedback from their immediate managers, peers, direct reports and others. The leadership effectiveness of each manager was evaluated by a 49 item assessment. Based on the overall rating from the 49 items, managers were divided into five groups, from leaders at the bottom 10th percentile (the worst leaders) to those at the top 10% (the best leaders).

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One factor at a time (OFAT) Versus Factorial Designs

Guest post by Bradley Jones

Almost a hundred years ago R. A. Fisher‘s boss published an article espousing OFAT (one factor at a time). Fisher responded with an article of his own laying out his justification for factorial design. I admire the courage it took to contradict his boss in print!

Fisher’s argument was mainly about efficiency – that you could learn as much about many factors as you learned about one in the same number of trials. Saving money and effort is a powerful and positive motivator.

The most common argument I read against OFAT these days has to do with inability to detect interactions and the possibility of finding suboptimal factor settings at the end of the investigation. I admit to using these arguments myself in print.

I don’t think these arguments are as effective as Fisher’s original argument.

To play the devil’s advocate for a moment consider this thought experiment. You have to climb a hill that runs on a line going from southwest to northeast but you are only allowed to make steps that are due north or south or due east or west. Though you will have to make many zig zags you will eventually make it to the top. If you noted your altitude at each step, you would have enough data to fit a response surface.

Obviously this approach is very inefficient but it is not impossible. Don’t mistake my intent here. I am definitely not an advocate of OFAT. Rather I would like to find more convincing arguments to persuade experimenters to move to multi-factor design.

Related: The Purpose of Factorial Designed ExperimentsUsing Design of Experimentsarticles by R.A. Fisherarticles on using factorial design of experimentsDoes good experimental design require changing only one factor at a time (OFAT)?Statistics for Experimenters

The Achilles’ Heel of Agile

Guest post by Jurgen Appelo

When I wrote this, I was working in a big open office space in the Van Nelle Factory in Rotterdam (see photo). About 100 people work in an office that was the first of its kind in Europe, when it was built in 1929. And more than 80 years later, architecture lovers from all over the world still come to admire it, take pictures, and make drawings. I sometimes waved at them.

photo of open office style at Van Nelle Office
Van Nelle office, reprinted by permission of Stephan Meijer

A big open office space has advantages and disadvantages. Advantages are flexibility and easy communication. The main disadvantage is that it is a shared resource for all who work there. Climate, sound, and light are hard to manage in a space like that, and the optimal configuration for the whole is never optimal for all. But our office manager did the best she could in trying to maximize pleasant working conditions, while maintaining tight rules to keep things under control. A shared open office is not the ideal environment to give people full responsibility over their own working space.

Self-organization is usually promoted in agile software development. But when shared resources are not managed by a central authority, self-organization often results in the Tragedy of the Commons. The name refers to a situation in which multiple self-organizing systems, all acting in their own self-interest, overexploit a shared limited resource, even when they all know it is not in anyone’s interest for this to happen. The impact that humanity has on CO2 levels in the air, trees in the forests, and fish in the sea, is right now the most debated and intensively researched case of the Tragedy of the Commons. Organizations also have shared resources, like budgets, office space, and system administrators. We could see them as the business-equivalent of the air we breathe, the landscape we change, and the fish we eat.

Research indicates that four ingredients (called the four I’s) are needed for sustainability of shared resources [Van Vugt 2009:42]:

  • Institutions [managers] who work on building trusting relationships between competing systems [teams] in order to increase acceptance of common rules;
  • Information that increases understanding of the physical and social environment, in order to reduce uncertainty (because uncertainty results in bias towards self-interest);
  • Identity, or a need for a social “belonging” that encompasses all participants, to improve and broaden one’s sense of community and reduce competition between teams;
  • Incentives that address the need to improve oneself, while punishing overuse and rewarding responsible use.

Research shows that it is imperative that there is some form of management (or governance) to protect these shared resources by working on these four I’s. (I realize that most modern day governments are not setting a good example of how to do that.) In the case of shared resources, whether it concerns money, space, or system administrators, someone outside of the development teams must keep an eye on long-term sustainability instead of short-term gains by individual teams.

The Tragedy of the Commons is the Achilles’ heel of Agile. It takes management to protect that heel, in order to prevent teams from depleting resources, and crippling the organization.

This article is an adaptation from Management 3.0: Leading Agile Developers, Developing Agile Leaders, by Jurgen Appelo. The book will be published by Addison-Wesley, in Mike Cohn’s Signature Series.

Related: Embrace Diversity, Erase Uniformitymanagement 3.0agile software development booksVW Phaeton assembly plant

Embrace Diversity, Erase Uniformity

Guest Post by Jurgen Appelo, author of the Managing Software Development blog.

Five years ago, when I started working for my current employer, the entire organization (about 30 people) consisted only of 20-something white straight single males. The atmosphere was what you would expect from such an environment: conversations on football/soccer, lewd jokes, the smell of beer, and trash in every corner. In short, the perfect place to work, if you were a 20-something white straight single male.

Then the organization started changing. The subculture of 20-something white straight single males in our region could not keep up with the rapid growth of our company. And so the women arrived. And the married guys. And people with kids. And people older than 40. And people from all sorts of ethnic, religious, sexual, and disabled minorities. Before we knew it, the organization had grown to 200 people, and the group of 20-something white straight single males had dwindled to just another minority. And it’s still a great place to work, particularly for the large majority of people representing one or two minorities.

Diversity is Important
In biological ecosystems, genetic diversity is one of the most important principles. Biodiversity (the variation of species) is the most obvious form of it, but there’s also diversity within species themselves. Did you know that honey bees are slightly different from each other? That’s how they regulate the temperature in their beehives. When a hive gets too cold, the bees start huddling together, buzzing their wings. And when it gets too hot, the bees spread out and they start fanning their wings. Now, when the bees would respond to the same specific temperatures, they would all start buzzing or fanning their wings at the same time, resulting in a wildly oscillating temperature in the hive. Therefore, to improve stability, nature has made sure that the bees respond to different temperature levels. When the temperature rises, one by one the bees will start fanning their wings. And the more bees join in, the slower the temperature will rise, until it stops completely. Diversity among bees smoothes and stabilizes the temperature in the beehive.

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Dr. Deming’s 15th Point

Guest post from John McConnell, Wysowl Pty Ltd

Dr. Deming opened his first Australian seminar in 1986 with the question, “What are we here to do”? After some discussion he answered his own question with, “To learn”, and “To have a good time”.

He repeated this opening at subsequent seminars.

The Fifteenth Point
Mr. Murray Mansfield of Melbourne has what I believe to be the only completely up to date version of Dr. Deming’s famous Obligations for Top Management. After a long discussion with Murray during his last Australian seminar, Dr. Deming agreed that there ought to be a fifteenth point. He took Murray’s notes turned to the page containing the fourteen points and at the foot of the page wrote:

15.     Have a good time!

Related: I Don’t KnowFind Joy and Success in Businessposts on respect for peopleDestroyed by Best EffortsLets Play WorkSeven (plus 2) Deadly Diseases of Western Management

I Don’t Know

Guest post by David Kerridge (originally posted to the Deming Electronic Network):

This is part of a series in which I recall striking or thought-provoking things that W. Edwards Deming said, but did not put into his books.

I remember taking a manager to his first Deming 4-day seminar. Afterwards my friend said to me “I was very impressed with that man. He said ‘I don’t know.’”

Something in our culture makes us ashamed to admit ignorance. We expect quick, slick answers, whether from politicians, managers, or consultants.

Deming said “I don’t know” more often than anyone I have ever known. Sometimes you heard the answer about two years later, in his seminar.

I also remember him saying “I have learned more in the last six months than in the previous ten years.”

Maybe one quotation explains the other.

Related: Dr. Deming quotesInstant PuddingDeming on being Destroyed by Best EffortsWhere to Start Improvement

Deming and Performance Appraisal

Guest post by Ron Kingen (originally posted to the Deming Electronic Network)

Several weeks ago someone in the DEN list ask what did Dr. Deming recommend about this issue, well I ask that very question of Dr. Deming back in the 80′s when I had the good fortune to work with him. I had expressed my concern to Dr. Deming about several of his fourteen points that I either didn’t understand completely or did not fit with my experience and/or education. Dr. Deming suggested we talk about it over dinner – during the subsequent dinner discussion Dr. Deming made several points relative to performance improvement (not appraisal):

  1. Hire good people – one of the most critical decisions we all make.
  2. Train and educate them – even if they come from the best universities and are at the top of their class.
  3. Coach them, constantly, don’t wait for an annual appraisal to correct an issue or behavior.
  4. It is the system that must be improved to ensure people work to their potential.
  5. Recognize your top performers, but money isn’t the best method of recognition, in fact, it can be counterproductive.
  6. Work with your low performers to understand their issues and difficulties; give them support and assistance. If they can’t improve and are truly performance outliers , don’t keep them, they will affect the over system.

The advice seemed valid, but I told him my company insisted we do performance appraisals. He laughed, he suggested I change the system; but Dr. Deming knew I worked for General Motors and that wouldn’t be easy. So he recommended I become a rebel and change my part of the system; which I did try. At the time I worked for one of the most progressive divisions within GM and was fortunate to work with many talented GM people and several well know and recognized experts, but I was convinced the best system change option was to leave GM.
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Where to Start Improvement

Guest post by Dave Nave

The question of where to start improvement is not an ‘either/or’ choice of top-down or bottom-up approach. The place to start is both. Leading an organization requires both a long-term and a short-term focus. With changing management practices being long-term and improving operational efficiency being short-term. The organization is a system. Optimization of any single component (management practices or production operations) frequently detracts from the whole.

For many years I firmly believed (actually hoped) the bottom-up approach would be the most effective. Especially since I came from the shop floor. However, after watching several large companies try the bottom-up approach, I realized that it didn’t work. You can show management success, but they will not believe it. Especially when the management practices involves the underlying beliefs that workers are untrustworthy, and must be dominated and controlled. I saw one Fortune 20 company turn around their operations using a process improvement program. When the bottom line numbers drastically improved, upper management scrambled for years trying to find out why. Five years later, I don’t believe they still understand how it happened, or why.

To help clarify the various arguments of top-down or bottom-up approach to implementing improvement in my own mind, I wrote a paper. Most arguments focus on ‘success’ – however that is determined! What I though was missing, was the perspective of a leader who has a broad knowledge of business, the desire to help the long-term health of the organization, but did not the ability to hold off the financial dogs of short-term results. Once I started looking deeper, two key factors came to light, time to see results versus scope of influence throughout the organization. Bottom-up produces short-term improvement however it’s effects are limited to the local area. Top-down takes a long time to see results, but it effects the very foundation of the organization. The hybrid of a top-down support for a bottom-up improvement approach is not the answer. The Fortune 20 company mentioned above, tried a high level support approach to a bottom-up improvement methodology. Looking through the lens of speed and scope, suddenly product redesign (Value Engineering) became a viable option. Providing a balance of moderate returns with a moderate time delay.

I concluded that a three prong approach is needed. But, how do you manage that? By cooperation and collaboration between improving; management practices, product redesign, and process improvement.

If anyone is interested in reading my thought paper, you can download the paper – Improvement Triad: Processes, Products, and Management Practices. I would love to hear your feedback.

Related: Lean and Theory of ConstraintsHow to ImproveCurious Cat Management Improvement portal

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