Change Management
Playing to Win, versus Playing Not to Lose
Life is funny. There are always ways to justify nearly anything you want (or don’t want) to do. For example, “The timing is not right” (“We’re not ready,” “The market will be better soon,” “We need to save more,” “We need to staff up first,” etc.) Justifications often include things like “We had a bad experience once” or “We are a very conservative organization” – comments that tend to lean towards risk aversion or a lack of confidence.
I’ve seen this in my own business after a large investment failed to yield the desired results, when I was a regional sales and services leader at a “growth-oriented” software company, and as a consultant. The root cause always varies, but the net effect is that those companies play it safe.
Why is that a problem? It may not be. Being content may not be a bad thing. Sometimes the status quo is enough. Having a reliable schedule, manageable stress levels, sufficient funds, and doing something you like with people you like may be the goal. But not everyone is built that way.
Growth usually means stepping out of your comfort zone, taking on risk, recognizing the need to adapt to stay ahead of the curve, and being OK with uncertainty. It means bringing on people with different backgrounds, skill sets, and perspectives than yourself. It can be very hard – especially if you are used to being in control and having the answers.
For me, the solution was twofold.
- We had to accept failure as an inevitable outcome. I believe this is where a lot of people stop. If you view failure as negative, then everything that stems from it (loss of money, a hit to your ego, and other setbacks) becomes your focal point. Lesson Learned: When you view it as a learning and self-improvement opportunity (“cognitive reframing”), it just becomes part of the cost of getting better.
From your team’s perspective, if everyone is as focused on the journey as you are on the outcome, people tend to view challenges logically rather than emotionally (thereby controlling fear). Success truly is a mental game. - We developed a structured approach for future investments (read more about it here). We treated each new venture like a project. It was focused, analytical, and unemotional. With this approach, speculative investments became easier each time. It’s amazing how that distance also helps switch the focus from risk to reward.
This understanding led to a presentation I gave that helped relaunch a company, helped several clients critically assess the risks and rewards of their plans, and may help someone consider whether they are focused on winning or simply on not losing.
As Richard Branson wrote in his book, Screw It, Let’s Do It: Lessons in Life, “If you opt for a safe life, you will never know what it’s like to win.” So, are you ready to play to win?
Diverse Testing for the Best User Experiences
Long before I began consulting, I was developing new applications for a Marketing company. Nearly everything was built from the ground up then, and there was very little reuse. That changed over time as I developed reusable functions and eventually created a “standard system” that significantly reduced development time due to reuse. Throughout this multi-year period, I had an unplanned but valuable assistant – “Wendy”
My user interfaces were generally well received for their layout, workflow, help screens, etc. But a new hire on the Customer Service team consistently ran into problems. I was young, and one of my first interactions with her probably went something like this: “Why would you do it that way? That doesn’t even make sense? Have you ever worked with computers before?”
She began crying. I felt like a jerk as my frustration began to wane. Days later, I realized Wendy was a gift and not a problem. She had an incredible knack for finding obscure flaws and breaking things. I embraced it, bought her lunch, and asked her to help improve my software. She was excited to help, and eventually we laughed about our initial encounters.
Wendy and I had become allies in a quest to create custom software that provided a better, problem-free user experience. Nothing was taken for granted. Everything became more robust. Surprisingly, everyone appreciated these changes, not just Wendy. She helped me become a better programmer and analyst, and I gave her an experience that helped her become one of the first Quality Assurance Analysts in the company. It was a win-win.
There is often a considerable difference in the expectations and ways that Gen Z, Millennial, Gen X, and Baby Boomer users interface with applications. Creating a one-size-fits-all application is far more challenging today because of this simple fact. But it is essential to success.
People today tend to move on when their experiences fail to match their expectations. Investing in your system’s “Wendy-proofing” can become a competitive advantage. I have long believed that “People buy easy.”
If one person encounters a problem, others will likely follow unless you implement a remedy. It is more work, but the result can be increased satisfaction, usage, and loyalty. That seems like a good tradeoff to me.
What are your thoughts?
Understanding the Real Issue using Root Cause Analysis
Too often people, including Consultants, spend time trying to solve the wrong problem due to having incomplete or incorrect information. Once, I was investigating a series of performance problems and unplanned outages that were assumed to be two separate problems. As I gathered information, several people shared anecdotal stories of anomalous behaviors in various systems, speculated about the “real problem,” and discussed “chasing ghosts” during previous attempts to resolve it.
I remember stating that I was there to solve a real problem that was seriously impacting production, and that it was not my intent to chase ghosts or do anything else that would unnecessarily waste time. Next, I outlined the approach I would use to make a Root Cause determination and that we would reconvene to discuss the real problem and potential solutions. A few people scoffed and felt this was a waste of time and money.
The process followed was simple, structured, and logical. It took everything we knew to be true and mapped it out. I looked for patterns, commonalities, and intersections of systems and events. Within two days, my team and I had identified a complex root cause involving multiple components, which we demonstrated would reliably reproduce the symptoms that our client was experiencing. From there, we worked with their teams to make minor network changes, system configuration changes, and several small application changes.
By the end of the second week, they were no longer experiencing major slowdowns or unplanned outages. Each outage cost the company tens of thousands of dollars in lost sales because of the time-sensitive nature of their product. Within one week, they had recovered the cost of hiring my team and me. What stuck with us was how many really smart people “believed in ghosts” and failed to focus on the information they already had.
A few years later, we created a white paper to help others who needed a simple, structured approach. Below is a link to that white paper written by one of the top people on my team. We received very positive feedback then, so it still seems useful today. Please take a look and let me know what you think.
The Coming Changes to Manufacturing
Recently, I spoke with someone on a team analyzing ways to “mitigate the risk of exclusive manufacturing in China” without fully divesting their business interests in a growing and potentially lucrative market. This bifurcation exercise got me thinking about how many other companies are evaluating their supply chain relationships, inventory management, and the predictability of their cost of goods sold.
In the mid-1990s, I had done a lot of work with the MK manufacturing software that ran on the Ingres database. Some issues were performance-related and fixed by database tuning; some were fixed by using average costs instead of a full Bill of Materials (BOM) explosion with dozens of screws in a window; but some were more interesting and more business-focused.
After NAFTA became law, one manufacturer built a facility in Mexico and started manufacturing a few basic but important parts. When I arrived as a Consultant, the main problem they faced was a reject rate of roughly 20% and additional related QA costs. My suggestion was to treat this part (a single piece of steel, like the rotor from a disk brake system) as a component and build in the cost of both scrap and QA. They could then benchmark the costs against other suppliers in an apples-to-apples comparison to determine if they really saved money. That approach worked well for them.
While that approach helped manage costs, it did not address the timeliness of orders or lead time required – important aspects of Just-in-Time (JIT) manufacturing. Additionally, it should be possible to estimate shipping costs by considering changes in petroleum costs or anticipated changes in demand or capacity.
Systems out there claim to estimate the cost and availability of commodities based on various global factors and leading indicators. It is tricky, to say the least, and we can’t anticipate an event like a pandemic. But companies that manage their inventory and production risk best will likely be the ones that succeed in the long run. They will become the most reliable suppliers and have increased profits to invest in further growth and improvement.
The next 2-3 years will be very interesting due to technological advances (especially AI) and geopolitical changes. Those companies that embrace change and focus on real transformation will likely emerge as the new leaders in their segments by 2025.
Blockchain, Data Governance, and Smart Contracts in a Post-COVID-19 World
The last few months have been very disruptive to nearly everyone across the globe. There are business challenges galore, such as managing large remote workforces – many of whom are new to working remotely and managing risk while attempting to conduct “business as usual.” Unfortunately, most businesses’ systems, processes, and internal controls were not designed for this “new normal.”
While there have been many predictions around Blockchain for the past few years, it is still not widely adopted. We are beginning to see an uptick in adopting Supply Chain Management Systems for reasons that include traceability of items – especially food and drugs. However, large-scale adoption has been elusive to date.
I believe we will soon see major shifts in mindset, investment, and effort toward modern digital technology driven by Data Governance and Risk Management. I also believe that this will lead to these technologies becoming easier to use via new platforms and integration tools, which will lead to faster adoption by SMBs and other non-enterprise organizations, and that will lead to the greater need for DevOps, Monitoring, and Automation solutions as a way to maintain control of a more agile environment.
Here are a few predictions:
- New wearable technology supporting Medical IoT will be developed to help provide an early warning system for disease and future pandemics. That will fuel innovations across industries, including Biotech and Pharma.
- Blockchain can provide data privacy, ownership, and provenance to ensure the data’s veracity.
- New legislation will be created to protect medical providers and other users of that data from being held liable for missing information or trends that could have saved lives or avoided other negative outcomes.
- In the meantime, Hospitals, Insurance Providers, and others will do everything possible to mitigate the risk of using Medical IoT data, which could include Smart Contracts to ensure compliance (assuming a benefit is provided to the data providers).
- Platforms may be created to offer individuals control over their own data, how it is used and by whom, ownership of that data, and payment for the use of that data. I wrote about this in 2013.
- Data Governance will be taken more seriously by every business. Today, companies talk about Data Privacy, Data Security, or Data Consistency, but few have a strategic end-to-end systematic approach to managing and protecting their data and their company.
- Comprehensive Data Governance will become a driving and gating force as organizations modernize and grow. Even before the pandemic, there were growing needs due to new data privacy laws and concerns around areas such as the data used for Machine Learning.
- In a business environment where more systems are distributed, the risk of data breaches and Cybercrime Increases. That must be addressed as a foundational component of any new system or platform.
- One or two Data Integration Companies will emerge as undisputed industry leaders because of their capabilities in MDM, Data Provenance and Traceability, and Data Access (an area typically managed by application systems).
- New standardized APIs akin to HL7 FHIR will be created to support a variety of industries as well as interoperability between systems and industries. Frictionless integration of key systems becomes even more important than it is today.
- Anything that can be maintained and managed in a secure and flexible distributed digital environment will be implemented to allow companies to quickly pivot and adapt to new challenges and opportunities on a global scale.
- Smart Contracts and Digital Currency Payment Processing Systems will likely be core components of those systems.
- This will also foster the growth of next-generation Business Ecosystems and more dynamic collaborations.
- Ongoing compliance monitoring, internal and external, will likely become a priority (“trust but verify”).
All in all, this is exciting from a business and technology perspective. Most companies must review and adjust their strategies and tactics to embrace these concepts and adapt to the coming New Normal.
The steps we take today will shape what we see and do in the coming decade, so it is important to get this right quickly, knowing that whatever is implemented today will live, evolve, and hopefully improve over time. Don’t wait for perfection, as the risks are too high.
Where Ideas, Experiences, and Lessons Learned Intersect 