Tuesday, April 25, 2023

failed changes


Each of us can list a number of poorly implemented changes in our organizations. Some changes end up behind schedule. Others run over budget. Some face tremendous resistance when employees experience barriers to adoption. Some changes get implemented, but the expected results never materialize. In some cases, changes fail completely and are abandoned. Many of the reasons past projects didn't achieve intended outcomes are tied to mismanaging the people side of change.

Now consider the cost of these failed changes. How much time and money was spent on initiatives that were not fully implemented? What was the impact to the organization from not implementing these changes? Your organization cannot risk the additional cost and missed benefits of poorly managing the human side of change. 

Building the organization-wide competency to manage change effectively can be a cost-avoidance measure that minimizes impacts from failed changes.



Tim Creasey

"Why Organizations Need To Make Change Management a Core Competency," Prosci. Accessed on April 20, 2023

Monday, April 24, 2023

get humans to willingly choose another behavior


Contrary to what many consulting firms would like for you to believe (and pay for), change practitioners don’t need any special certification to be successful. At its best, change management is interdisciplinary, so a wide array of skill sets and expertise can be leveraged and successfully applied to change efforts.

The function of a change effort is to get humans to willingly choose another behavior within some institutional context. That’s it.



"Rethinking Change Management as Design," by Brittany Stone. Method. Accessed on April 13, 2023.

Sunday, April 23, 2023

self-serving bias


At one company we know, for example, leaders were asked to estimate how much time they spent tiptoeing around other people’s egos: making others feel that “my idea is yours,” for instance, or taking care not to tread on someone else’s turf. Most said 20 to 30 percent. Then they were asked how much time they spent tiptoeing around their own egos. Most were silent. Psychology explains this dynamic as a very predictable, and very human, “self-serving bias.” It involves viewing our own actions favorably and interpreting events in a way beneficial to ourselves. This explains why 25 percent of students rate themselves in the top 1 percent in their ability to get along with others. It’s why, when couples are asked to estimate their contribution to household work, the combined total routinely exceeds 100 percent.



"Getting personal about change," by Scott Keller and Bill Schaninger. McKinsey Quarterly. August 21, 2019. 

Saturday, April 22, 2023

fear driven vs. hope driven


Dean Ornish, a professor of medicine at the University of California at San Francisco and founder of the Preventive Medicine Research Institute, decided to reframe the underlying mind-set beneath the patients’ narratives. He wanted to change it from “If I behave this way, I won’t die” (fear driven) to “If I behave this way, my life will be filled with joy” (hope driven). In his words, “Telling people who are lonely and depressed that they’re going to live longer if they quit smoking or change their diet and lifestyle is not that motivating. Who wants to live longer when you’re in chronic emotional pain?” How much better would they feel, he thought, if they could enjoy the pleasures of daily life without suffering any pain or discomfort? In his experiment, 77 percent of his patients managed to make permanent changes in their lifestyles, compared with a normal success rate of 10 percent.



"Getting personal about change," by Scott Keller and Bill Schaninger. McKinsey Quarterly. August 21, 2019. 

Friday, April 21, 2023

root-cause mind-sets


Mind-sets ingrained by past management practices remain ingrained far beyond the existence of the practices that formed them, even when new management practices have been put in place.

Here are three business examples that underscore the perils of ignoring this lesson. Example one: a bank that identified how its high performers succeeded in cross-selling decided to roll out a change program with support scripts and good profiling questions for the other bankers to use—and was dismayed to find that these moves had a negligible impact on sales. A second example: a telco introduced a dramatically simplified process and rating system for performance reviews only to find that its leaders still avoided delivering tough messages. Finally: a manufacturer invested hundreds of millions in a knowledge-management technology platform meant to discourage hoarding and encourage collaboration—only to declare, several months later, that the system had been a complete failure.

In all these examples, the companies did a good job of recognizing the behavioral change needed to achieve the desired goals. Yet they didn’t take the time, or use the tools available, to understand why smart, hard-working, and well-intentioned employees continued to behave as before.

At the bank, for instance, two seemingly good but ultimately performance-limiting mind-sets accounted for the failure of the new sales-stimulation tools and training. The first was “my job is to give the customers what they want”; the second, “I should follow the Golden Rule and treat my customers as I would like to be treated.” At the telco, employees had a deep-seated, reasonable-sounding belief that “criticism damages relationships.” At the manufacturing company, people had an underlying conviction that “around here, information is power, and good leaders are powerful leaders.”

The upshot? By looking at—and acting on—only observable behavior, company leaders overlooked its underlying root causes. Consequently, the change efforts of all three organizations led to disappointment.

Once the root-cause mind-sets are identified, the next step is to reframe those beliefs and thereby expand the range of reasonable behavioral choices employees make, day in and day out. That creates the caterpillar-to-butterfly effect described earlier. Would different beliefs, for example, have inspired expanded and better-informed behavioral choices for average-performing bankers? If so, which beliefs? Suppose they believed that their job—indeed, the way they add value for others—was to “help customers fully understand their needs” rather than “giving customers what they want.” Also, what if instead of applying the “Golden Rule,” bankers applied the “Platinum Rule”: treating others as they (rather than bankers) want to be treated.

And what if the telco executives, in their performance-management discussions, had believed that “honesty—combined with respect—doesn’t damage relationships; in fact, it is essential to building strong ones”? And what if the manufacturing managers had thought that “sharing information rather than hoarding is the best way to magnify power”? Had they believed that, the company very likely wouldn’t have needed an expensive (and ultimately futile) knowledge-management system to help employees reach out to one another and share best practices.

Beneath each of the reframes described above, it’s important to note, lies a deeper shift in worldview. For example, moving from the giving-customers-what-they-want mind-set to helping them fully understand what they really need reflects a move from subordinate to peer. Recognizing that honesty builds rather than destroys relationships reflects a shift from victimhood to mastery. And choosing to believe that power is expanded by sharing information, not that hoarding information is power, focuses on abundance, not scarcity.


"Getting personal about change," by Scott Keller and Bill Schaninger. McKinsey Quarterly. August 21, 2019.