Thursday, January 31, 2019

Six Necessary Mindshifts For Implementing Strategy

"One of the criticisms we would have of some of our colleagues who have studied strategy (and some consultants who advice on strategy) is assuming that once you design strategy, it gets executed. They don't look inside the process and realize that it's much more complicated."
- Joseph Bowler, Professor of Business Administration, Harvard Business School

Nine out of ten strategies fail to be successfully implemented.

This is a statistic that is growing in influence as there is a pendulum swing away from the thought that just crafting a strategy is enough and towards that it also has to implemented. You can have the greatest strategy in the world but if you cannot implement it, it is not worth the paper it is written on.

In the last few years, an increasing amount of research has emerged on how to successfully implement strategy. The company I founded, Bridges Business Consultancy Int, a pioneer in the field of strategy implementation, has been conducting research for eight years. From our studies and work with clients globally, we identified flaws in leaders' thinking and their approach to implementation. That helps explain why nine out of ten times, leaders fail to successfully implement the strategies they create. Success in implementation starts with thinking differently and then doing things differently. After all, if we always do what we have always done, then we will always get what we have always got.

My interviews with leaders who successfully executed their strategies reveal that at some point, they dramatically shifted the way they thought about implementation. A Mind Shift occurred.

In fact, they have helped me identify six Mind Shifts that need to take place for the success of an implementation, contradicting much traditional literature on the subject. I describe these new required Mind Shifts here, noting the old mindset in quotation marks.

Mind Shift #1 - 'When crafting strategy is complete, the hardest part is over.' No, implementation is twice as difficult as creating strategy.

For decades, business leaders have quite rightly focused on developing a strategy for change. Business schools teach the importance of strategy and how to create the right one for a company's needs. A leader's role is to design that strategy. The consequence, however, is that once leaders have created their strategies, they believe they have completed most of their responsibilities. The hardest part is over. Yet they habitually underestimate the challenge of implementing that strategy. Many delegate this process to others, taking their eyes off what needs to be done to put their strategies in place. After all, they believe, it is more difficult to create a strategy than to implement it."

This is not true. Research (from Bridges) indicates that implementing strategy is at least twice as hard as creating the right strategy. The fact that nine out of ten implementations fail supports this statement-not because the strategy was wrong, but because the execution was poorly done.

Evidence to support this conclusion continues to grow. Research spanning 16 years at Newcastle University in the U.K. concluded that "business success is governed more by how well strategies are implemented than how good the strategy is to begin with." A frequently quoted Fortune article from June 1999 stated that companies fail to successfully implement strategy not because of bad strategy but bad execution. Bridges research over the last eight years shows that nine out of ten strategies fail to be implemented successfully.

When I ask leaders in the seminars I run in 35 cities if they would prefer to have a good strategy implemented badly or a bad strategy implemented well, most speak up for a good strategy implemented badly.

If you believe that having the right strategy means you are moving in the right direction or have the foundation from which to build, that is the wrong answer. The correct answer is having a weak strategy implemented well. Why? If an organization is good at execution, then it will have in place the tools, systems, techniques and abilities to realize that the strategy is not working. They can then go back and make the required changes to the strategy.

Consider also that no leadership team intentionally adopts a bad strategy. It is only in its execution that leaders realize that the strategy is weak. By being good at implementation, you will be able to read the signs and make the necessary changes. Remember, it is the implementation of a strategy that delivers revenue, not the crafting.

The time has come in the evolution of strategy to move from just focusing on the crucial question on how you develop a strategy to how you implement it.

Mind Shift #2 - 'Most people resist change.' No, most people are open to change when it is communicated in the right ways.

Contrary to popular belief most people do not resist change! This is probably the most controversial of the six Mind Shifts, because for years we have firmly believed that most staff members will resist change. Remember, if our current beliefs are accurate, we would not be failing so frequently. The question of why we mistakenly believe staff members resist change and its implications are critical to successful implementation.

From its research, Bridges discovered that when a new strategy is announced, staff members generally respond in one of four ways: indifference, resistance, disbelief and support. Which ones occur depend on what the change means to each individual.

Consider these research statistics:

· 20 per cent (and only 20 per cent) resist change. And these resisters tend to complain about anything and everything. They badmouth the implementation behind the leader's back, complaining that the money could be spent better on bonuses instead of a 'lost cause' like this. They try to convince others around them that this strategy is just another management fad. Based on these characteristics, we call such people Saboteurs. If their views win out, the whole implementation fails. You can probably identify one or two Saboteurs in your organization!

60 per cent of the staff members are fence-sitters, neither supporting the implementation nor opposing it. They arrive at 9.00 am and depart at 6.00 pm. In between, they simply do their jobs. They don't volunteer for additional work, but they don't actively resist change, either. Based on these characteristics, we call them Groupies. Those who are Groupies like the safety they find in numbers.

20 per cent are those who welcome the change, embrace it and willingly support it. They become the early adopters who drive the change. Based on these characteristics, we call them Mavericks.

Those in the last group are not easy to spot because they are hidden among the Saboteurs. Based on their characteristics, we call them Double Agents. They initially resist, but can become Mavericks over time. Double Agents have seen change many times before and impose doubt that the new strategy will succeed. They have also been called to arms too often and have witnessed too many failures. However, Double Agents start out acting like Saboteurs, but once they assess that this implementation is the 'one in ten' that will succeed, they get on board, becoming supportive and active Mavericks.

So why is it commonly believed that people resist change?

Because of the four groups, Saboteurs make the most noise. As a result, they create the largest commotion and lead others to the wrong impression that most people resist change. In addition, Groupies keep quiet because they do not want to draw attention to themselves. Mavericks just get on with the work on hand.

If leaders fail to shift their beliefs, they will develop the wrong policies for addressing staff members' reactions to the new strategy. So as a leader, what should you do? Mostly ignore the Saboteurs and support the people who support you-the Mavericks.

Mind Shift #3 - 'It's all about taking actions.' No, it's about taking the right actions.

Of course, you need to take action to implement your strategy. And of course, in business, you are always taking action, filling up the amount of time you have with activity. But the difference between success and failure is that successful leaders ask: "Are we taking the right actions?" Sure, staff members are always busy, but are they doing the work today that will deliver the planned strategy, tomorrow?

To answer this question, you have to first identify the right actions to take. When working with clients, I use the Implementation Compass (see Chapter 2) to identify the right actions based on the eight global best practices of successful implementation.

For example, when a large software company was rolling out its global strategy in Asia Pacific, the right action initially was to convince people why change was necessary when the company was doing so well. That's called the Biz Case. This company rolled out a teaser campaign that ignited interest and curiosity in its new strategy, starting the implementation in the right way.

A Middle East bank created its new strategy, but did not have a common understanding among its leaders. So the strategy planners developed a Strategy Map to translate their new plan into specific objectives. They also developed measures that ensured the leadership team and staff members were all on the same page.

A local government division wanted to improve its back-office operations to support its new strategy. The division leaders required staff members to engage at two levels. First, all staff members were trained on how to map their work and identify improvements within their own scope. Second, key staff members were asked to participate in cross-functional process redesigns using the DMAIC (Define, Measure, Analyze, Improve and Control - from Six Sigma) approach. Rolling out the strategy included making sure staff members tune in to both 'radio stations'": WII-FM (What Is In For Me) and also WEX-FM (What Is Expected From Me).

Mind Shift #4 - 'Communication is all about making sure people understand the strategy.' No, staff members also must know exactly what actions they need to take.

Yes, before staff members can adopt any new strategy, they must first understand it. Absolutely. Successful implementation goes beyond ensuring staff members understand the strategy; they must also know exactly what to do and be motivated to do it.

Much communication about a new strategy focuses on its launch, which is usually marked with electronic presentations, briefings and t-shirts. Shifting the focus from the initial fanfare to staff members embracing the strategy is imperative.

Launch communication also has to spell out what each staff member needs to do differently as a result of the new strategy. The question 'what actions should I take to participate in the new strategy?' has to be answered for everyone. And there's more. Ways to motivate those who implement the strategy (staff members, not leaders) must be introduced. Measures to track the new strategy need to be set up. New behaviors need to be encouraged through reinforcement. Early adopters should be recognized and encouraged so others follow their lead.

When Rolls Royce rolled out its new strategy a few years ago, it used 'strategy storyboards' to share the new message across its broad organization. The storyboards translated abstract ideas into concrete actions. They not only explained why the strategy was important but what Rolls Royce staff members were expected to do differently. In addition, 75 managers were trained to conduct the briefing and hold at least 4000 presentations around the world. After this effort, staff members were able to both understand the strategy and know exactly what to do to help implement it.

Realize that strategy can't be implemented if it can't be understood, and it can't be understood if it can't be broken down into action steps. While strategy is designed at the top of the organization chart, it gets implemented from the bottom up. Effective communication fills the gap and brings the two together.

Mind Shift #5 - 'What worked yesterday will work tomorrow.' No, new strategies are needed every two or three years.

Leaders have had a habit of extending knowledge that was true yesterday when planning for tomorrow. You used to be able to rely on a strategy for eight to ten years. But those days are gone, forever.

Today, many organizations (depending on their industry and product) plan strategy for only two or three years. The cycle of change occurs more and more frequently. As a result, you can no longer depend on yesterday's model for success; you must craft strategy more and more often. That means you need to implement a new strategy more often than ever before. The current economic crisis reinforces this need.

On the Standard & Poor's list in 1985, 35 per cent of the companies were considered high risk (that is, their probability of achieving long-term, stable earnings growth was low). In the 2006 list, that figure had risen to 73 per cent. As another indicator, from 1973 to 1983, 35 per cent of those companies listed in the Fortune 1000 were new. From 1983 to 1993, 45 per cent of the Fortune 1000 companies were new, and from 1993 to 2003, 60 per cent of them were new. Maybe Fortune Magazine predicted company performance best when it forecast "continued chaos with a chance of disaster. The challenge is getting comfortable with it. "

One company comfortable with constant change is Google, which provides various Internet services. The company has built a culture that not only allows its change-friendly people to adapt easily, but it has also become the number one company people want to work for in the United States. Google receives over 3000 job applications a day.

"Googleplex" headquarters today is crammed with conference rooms, hallway buzz sessions, sandy volleyball courts, youngsters whizzing around on motorized scooters, and an 'anything goes' spirit. In addition-

o The 17 legendary cafes on Google's main campus offers 20 cuisines and fantastic (and free) food (e.g., lobster gets served for lunch).

o Google engineers spend 20 per cent of their time pursuing and developing their own ideas.

o Google's organizational hierarchy is flat.

o Google holds 64 per cent of the market share in its category in the U.S.

o In its 10-year history, Google has created more investor wealth in less time than any other company in history-US$10.6 billion in revenue earned.

o Sheryl Sandberg, a 37-year-old VP, made a mistake that cost Google several million dollars. When she informed founder Larry Page, he replied, "I'm so glad you made this mistake."

The late management guru Peter Drucker observed that "maintaining yesterday is difficult and time consuming and therefore requires the institution's scarcest and most valuable resources-and above all, its ablest people-to non-results." Acting this way means your people are not available to create a successful tomorrow.

Mind Shift #6 - 'Strategy must be reviewed twice a year.' No, it must be reviewed twice a month at least!

In many management meetings, Bridges research has revealed that 85 per cent of managers' time is spent on operational issues while about 15 per cent is spent on strategic issues. But leaders are not meant to solve day-to-day problems (although they do because it feels good and they can do it); they are responsible for crafting and implementing strategy.



January 31, 2019 No Comments

TradeStation Strategy Testing - Violating These Steps Will Damage Your Account

One of the most rewarding experiences for a TradeStation trader is to pick up a performance report that proves their great strategy idea is indeed a profitable strategy. Strategy testing done properly, as is outlined in this article, can verify the efficacy of your trading strategy and give you confidence to start trading it. But be forewarned, strategy testing done improperly can lead you toward financial destruction.

Strategy testing done incorrectly can result in false hope in a losing strategy.A trader recently shared his experience of getting great results from strategy testing his idea, but after trading it live in the market, he was losing money every day. He was baffled about what he did wrong. Having gotten excellent results on his back-testing performance report, he wondered why his promising strategy was draining his trading account. The problem was he violated several of the proper steps necessary for reliable strategy testing.

With the knowledge of how to get an accurate performance report you will be able to trust your strategy in live trading and protect your trading account. In order to properly test a strategy, there are 5 main steps that are vital to follow; configure TradeStation, "in-sample data" testing, "out-of-sample data" testing, live forward testing on the simulator account, and real live trading execution.

Step 1: Configure TradeStation

Before you begin testing your data, you must configure TradeStation so that the data it pulls onto your performance report will be accurate. Follow these 3 critical items to properly configure TradeStation.

(a) In your TradeStation platform menu, go to "format symbol" and give TradeStation a starting and ending date to test. This historical date range is called the "in-sample data." Do not include the most recent six months in this "in-sample data." The most recent six months is called the "out-of-sample data," and it will be used later during your "out-of-sample data" testing step.

(b) Next, in your TradeStation platform menu, go to "format strategy" and select "properties for all." Now select the "general" tab and enter the commissions and slippage (be as realistic as possible, or estimate too high if you are not sure). If this step is skipped, then the strategy testing performance report will be meaningless. If this is not done you might have a good looking performance report equity curve, but as soon as you enter the commissions and slippage figures the equity curve can reverse into an underwater equity curve.

(c) The last configuration step is under "properties for all" under the "general" tab. Look in the bottom left section called "strategy testing resolution." Check the "look-inside-bar back-testing" option and then select the smallest time frame available for your chart style to make the strategy testing more closely resemble live data. When strategy testing, TradeStation uses the open, high, low, and closing data, thus the larger the time frame bar, the more distorted the strategy testing performance report can be. This "look-inside bar back-testing" option will make the computer do a lot more strategy testing calculations. This may really slow down your performance report generation, so please be patient. For an accurate performance report you must use the "look-inside bar back-testing" option.

These configuration steps are critical to getting an accurate performance report, so be sure this is completed precisely before continuing. Once TradeStation has been configured correctly, you can begin testing your strategy.

Step 2: In-Sample Data Testing (also called "Back testing")

You are now ready to start testing your strategy idea. We will begin with testing the "in-sample data" that you set up for testing during the configuration steps. Begin with bringing up a TradeStation performance report. Right now I have a performance report in front of me that I will refer to, but you will be looking at your own performance report to analyze your own numbers. This is what we will be referring to in the steps below. There are 7 sub-steps to "in-sample data" testing, as follows:

First, look at how many trades the strategy made. To reduce strategy testing errors, where error is defined by [ error = 1 / Square Root (Number Trades In Test) ], you want at least 400 trades to reduce the margin for error to 5% in your strategy testing results. At 100 trades you have a 10% margin for error. The greater the number of inputs in your strategy that you optimize, the greater the number of trades you need to keep from over optimizing your strategy.

Also look at how many times the strategy traded on average per day. The more often a strategy trades the more profit it can generate.

In the performance report that I am looking at, it traded 397 trades in the last 3 1/2 months, averaging 5.3 trades per day.

Second, look at the "Average Trade Amount." It needs to be large enough that slow order fills and/or larger than normal slippage does not kill the profitability of the strategy.

In my report the "Average Trade Amount" is $162.32. The commissions and slippage amount as defined in the set up steps is already subtracted in this performance report.

65% of the time this strategy trades 1 contract.

35% of the time this strategy trades 3 contracts.

10% of the time this strategy trades 5 contracts.

Third, look to see if the "Profit Factor" and "Ratio Average Win-Average Loss" are both above 1.5 and the percentage of winning trades around 45% or better

This strategy had a "Profit Factor" of 1.83.

This strategy had a "Ratio Average Win-Average Loss" of 2.28 (2.28 means breakeven is around 28% "Percent Winning Trades")

On this strategy the "Percent Winning Trades" was 44.58%.

Fourth, look at the trade list page and assess the profit run ups and draw downs column. Notice how many trades made money and how much money they made before the trade exit occurred. Looking at what amount of money was made in relation to the profit run up and draw down, you want to know if managing the trades could generate more profits. The example used here shows that a good percentage of trades made much higher profits than where the automated exit points occurred.

Fifth, look at the three draw down (DD) numbers. I like to see the largest number at 15% or less of the "Total Net Profit" and the "Max DD" at 5% or less of the "Total Net Profit" (these numbers tell about the draw down risk level during your trades).

Total Profit - $64,440

Peak to Valley DD - $8,960 is 13% of Total Profit

Close to Close DD - $7,120 is 11% of Total Profit

Max DD - $3,420 - 5% of Total Profit

Sixth, Looking at the "Largest Losing Trade" on the report, I like to see 5% or less of the "Total Net Profit." In my report the "Largest Losing Trade" that occurred was $2,580 which is 4% of "Total Net Profit."

Seventh, I review the length of time in the average trade. Does the average time in a trade comply with the golden rule of trading; "cut your losses quickly and let your profits run?" You will also want to see if the strategy is built using only profit exits (no real stop loss exits). It might have a nice looking report, but it could show a messed up ratio between average bars per winning trade verses average bars per losing trade if there are no stop loss exits. Here are my average bars:

Average bars per winning trade 7.24

Average bars per losing trade 3.51 bars

This strategy complies with the golden rule of trading. Notice how it cuts losses quickly, at an average of 3.51 bars, and lets the profits run for an average of 7.24 bars.

So what does this all mean? It means this strategy has passed the historical strategy testing phase of strategy testing.

Step 3: Out-of-Sample Data (also called "Walk Forward Testing")

Once you have tested your "in-sample data" and have determined that your strategy is worthy of continued testing, you can now test your strategy against the "out-of-sample data." If you have not yet tested your "in-sample data, do that before proceeding.

To test the "out-of-sample data" we use the most recent 6 months of data available that you reserved in step 1(a). In step 1(b) of this article, we talked about configuring TradeStation and covered entering commissions and slippage and using the "look-inside-bar back-testing" option, which must be used to run any performance report used in your strategy testing. Be sure you have configured TradeStation correctly before moving on.

Go into "format symbol" and change the date range to include ONLY the "out-of-sample data" date range that was NOT used during the strategy testing on "in-sample data." This is referred to as testing on the "out-of-sample" data.

Begin with bringing up a TradeStation performance report on the "out-of-sample" data and review all the items that we discussed in step 2 above on this "out-of-sample" performance report. The closer it performs to the Step 2 "in-sample data" performance report, the more robust the strategy is. This suggests that the results were not from curve fitting and you have a good chance of having a viable strategy. This "out-of-sample" date range test is much more important than the strategy testing step on the "in-sample-data" for finding a successful strategy. It is a good idea to test multiple different "out-of-sample" date ranges, which is called "Walk Forward Analysis."

Robustness: Perry J. Kaufman stated, "Practically speaking, a robust trading strategy is one that produces consistently good results across a broad set of parameter (input) values applied to many different markets tested for many years."

If the strategy fails during this "out-of-sample data" test, do NOT optimize using your reserved "out-of-sample data." This would defeat this vitally important step in strategy development. You can go back to your strategy and fix it, or else drop it and develop a new strategy idea.

One caveat - if your strategy is capitalizing on a certain market condition, like the current volatility, and then you "out-of-sample data" test a non-volatile date range, it may not perform well, However in our next phase of testing, " Live Forward Testing," it could prove to be successful since we are still in a volatile market. You must understand why your strategy works, under what market conditions it performs well, and in what market conditions it does not perform well.

Now that you have tested your "out-of-sample" data and your strategy is promising, you are ready to live forward test your strategy on the simulator account.

At this point you have configured TradeStation so your performance report will be accurate, you have tested your "in-sample data" and your "out-of-sample" data and your strategy still looks great. Now you are ready to live forward test your strategy on the simulator account.

Step 4: Live Forward Testing on the Simulator Account

During your live forward testing on the simulator, you want to verify that the live data feed entries and exits are similar to historical entries and exits. After you have made live data trades for a day, save the live trade list. Now reload this same chart so the strategy recalculates based on the historical for this same day. Record the historical trade list and compare the live entries and exits to the historical entries and exits. Are they the same or at least similar? Do you understand the differences and the impact your "Live Data" test says about your strategy?

Only by monitoring the program daily can performance be seen under real "live" market conditions. Continue Live Forward Testing on the simulator until you are totally comfortable that your strategy works on live data. Real time results will often be less profitable than your historic results. The key question is does the real time testing show that you have a profitable strategy that is worth trading?

Step 5: Real Live Trading Execution

Once you have done your due diligence and are comfortable with your strategy results on the simulator, you are ready to trade live. Since you are trading a brand new strategy with real money, start with a significantly reduced position sizing risk of 1/4 of 1% of your account equity at risk per your stop loss point per trade. Continue trading with minimal risk until you have verified everything is working properly within your new strategy during live order executions.

Once your strategy is making money in the live market, slowly over time begin to increase your position sizing risk. Move your risk upward from 1/4 of 1% toward 1%. Continue trading at 1% risk until you have several weeks to months of consistent trading performance. If you want to be aggressive and use more, you can continue to increase toward the maximum 3% of your account equity at risk per trade.



January 31, 2019 No Comments

Wednesday, December 12, 2018

Educators Recommend Using Our HEAR Strategy During the Holiday Season

In the weeks leading up to the holidays, teachers tell us that it is sometimes difficult to help students stay focused on learning. Teachers around the world use our HEAR strategy to assist students to learn how to internalize the skill of active listening.

Susan Marie Poulette, CCC-SLP, a speech and language pathologist and educator, references our article in her piece titled “Classroom

December 12, 2018 No Comments

Friday, November 30, 2018

Helping Struggling Students Build a Growth Mindset



In one of our Edutopia posts, Marcus and I talk about the importance of helping struggling students build a growth mindset.

Our research aligns with Carol Dweck’s work on growth mindset—acting on the belief that abilities can be developed through dedication and hard work.

As we explain in the post, a positive mindset focuses on the gains that are possible when students persevere through

November 30, 2018 No Comments

Wednesday, October 31, 2018

Our Ed Week Post Stresses the Importance of the Caring Classroom Where Students Learn How to Learn

In responding to Education Week as a
part of the popular Classroom Q&A with Larry Ferlazzo, Marcus and I
described our exciting, unique, and productive approach that we have taught educators for relating with students.

The
question
for this blog post was: "What are the best ways to build relationships with students?"

“Our cognitive approach positions the teacher-student relationship as one

October 31, 2018 No Comments

Thursday, October 11, 2018

Angel Rodriguez, Brain-Based (BrainSMART) Teaching Graduate, Finds His "Dream School"

We were pleased to see Angel Rodriguez, who earned his Ed.S. degree in Brain-Based (BrainSMART) Teaching, featured in a recent article of The Gainesville Times, as he takes on the role of principal at Lyman Hall Elementary in Gainesville, Georgia.

Angel is quoted in the article as calling Lyman his "dream school." The majority of the students at the school are Latino, which reflects Rodriguez's

October 11, 2018 No Comments

Wednesday, September 26, 2018

Ann Arbor School References Our Work to Define Their Approach to Brain-Based Education



Clonlara School in Ann Arbor, Mich., references our work to help define “Brain-Based Education: An Overview of Research Supporting Clonlara’s Educational Approach.”

The school defined brain-based education “an approach that draws from the science of how the human brain learns naturally and aligns instructional strategies to support student learning at different stages of the brain’s

September 26, 2018 No Comments

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