Consulting
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 provided anecdotal stories of anomalous behaviors in various systems, speculation about the “real problem,” and discussions about “chasing ghosts” during previous attempts to resolve the problem.

I remember stating that I was there to solve a real problem having a serious negative impact on 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 that was known 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 this company tens of thousands of dollars in lost sales due to the time-sensitive nature of their product. Within one week, they had recovered the cost of hiring me and my team. 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 potentially help others needing 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 seemed that this could still be useful today. Please take a look and let me know what you think.
Using Themes for Enhanced Problem Solving
Thematic Analysis is a powerful qualitative approach used by many consultants. It involves identifying patterns and themes to better understand how and why something happened, which provides the context for other quantitative analyses. It can also be utilized when developing strategies and tactics due to its “cause and effect” nature.
Typical analysis tends to be event-based. Something happened that was unexpected. Some type of triggering or compelling event is sought to either stop something from happening or to make something happen. With enough of the right data, you may be able to identify patterns, which can help predict what will happen next based on past events. This data-based understanding may be simplistic or incomplete, but often it is sufficient.

But people are creatures of habit. If you can identify and understand those habits and place them within the context of a specific environment that includes interactions with others, you may be able to identify patterns within the patterns. Those themes can be much better indicators of what may or may not happen than the data itself. They become better predictors of things to come and can help identify more effective strategies and tactics to achieve your goals.
This approach requires that a person view an event (desired or historical) from various perspectives to help understand:
- Things that are accidental but predictable because of human nature.
- Things that are predictable based on other events and interactions.
- Things that are the logical consequence of a series of events and outcomes.
Aside from the practical implications of this approach, I find it fascinating relative to AI and Predictive Analysis.
For example, you can monitor data and activities proactively by understanding the recurring themes and triggers. That is actionable intelligence that can be automated and incorporated into a larger system. Machine Learning and Deep Learning can analyze tremendous volumes of data from various sources in real-time.
Combine that with Semantic Analysis, which is challenging due to the complexity of taxonomies and ontologies. Now, that system more accurately understands what is happening to make accurate predictions. Add in spatial and temporal data such as IoT, metadata from photographs, etc., and you should be able to view something as though you were very high up – providing the ability to “see” what is on the path ahead. It is obviously not that simple, but it is exciting.
From a practical perspective, keeping these thoughts in mind will help you see details others have missed. That makes for better analysis, better strategies, and better execution.
Who wouldn’t want that?
Innovation, Optimization, and Business Continuity
Originally posted on LinkedIn.com/in/chipn

Recently I read that the U.S. is experiencing a significant jump in unemployment claims. Much of that is understandable given the recent decline in many businesses, concerns about how long this crisis may last, and the need to protect ongoing viability by business owners and executives. But, in the near future, business activity will resume, and it will be very important that businesses maintain a business pipeline and retain qualified staff to deliver their products and services.
Now could be the ideal time to challenge your team to focus on improving your business. Look at business processes and identify:
- What works well today? Are you able to identify what makes it work so well? Simplicity, automation, and lack of friction are typical attributes of effective and efficient systems and processes that positively impact any business.
- What could be improved and why? Specific examples and real data will help quantify the impact and support prioritizing follow-up activities.
- What is missing today?
- Good ideas have likely been raised in the past, so why not revisit them?
- What are competitors or businesses in other segments doing that could be helpful?
- Brainstorm and consider something completely new that could help your business.
- Start a list, describe the needs and benefits, provide specific examples, and then estimate each idea’s potential impact and time to value.
- Take the ideas with the greatest promise and estimate the cost, people/skills needed, and other dependencies to see how they stack up.
Something else to consider is the creation or updating of Business Continuity Plans. Now is a perfect time – while everything is fresh in the minds of your team. Not only will this help in the future, but there could also be several useful ideas for the coming weeks.
For example, do you have sufficient documentation for someone who is not an expert in your business to take over with a relatively small ramp-up time? How will you maintain quality and control of those processes? Are your plans stored in a repository that is accessible yet secure outside of your organization? Do you have the processes and tools to collect documentation and feedback on things that did not work as documented or could be improved? Are your Risk Management plans and mitigation procedures up-to-date and adequate?
Investing in your business during this slowdown could have many benefits, including maintaining employee morale, enhancing employee and customer loyalty, retaining employees and their expertise and skills, and increasing sustainability and long-term growth potential.
Continuous Improvement, Growth Mindset, and an “Attitude of Better”
This was originally posted on LinkedIn.com/in/chipn
When I had my own company, we focused on providing the absolute best services in a few niche areas. Our goal was to succeed in the spaces that were important yet underserved. We identified those areas, validated the need, evaluated the competition and our competitive positioning, determined the market potential, and then made an informed decision based on that data.

But, this was not a plan for winning. It was a roadmap to places we could win, but nothing more. What would our strategy be? What specific problems would we solve? How would we create awareness around the potential impact of those problems? And how would we position ourselves as the best candidates to address those business needs? In short, what was our real purpose or raison d’etre?
Recognizing that void led to a couple of powerful revelations –
1. It is great to have a goal of being the best at something, but don’t use that as an excuse to procrastinate. Learning and improving is an iterative process, so that goal itself was not good enough.
2. Adopting an “Attitude of Better” became a game-changer. We set our focus on continuous improvement and winning. We became customer-obsessed, driven to provide better service and better results for every customer. We gauged our success by customer satisfaction, repeat engagements, and referrals.
3. But it wasn’t until we adopted an intentional Growth Mindset that our business evolved and improved.
· We leveraged every win to help us find and create the next one.
· Our team constantly pushed each other to raise the bar of knowledge, expertise, and performance.
· Just as important was what occurred next. They became a safety net for each other. Failure for one meant failure for all, and nobody wanted that. They became a high-performance team.
· We created standard processes and procedures to ensure consistency and maintain the highest levels of quality. This applied to everything we did – from working on a task to writing trip reports, status reports, and proposals. It also reduced our risks when we chose an outsourcing partner to help us take on more concurrent projects.
· Whenever possible, we automated processes to maintain consistency while increasing efficiency, repeatability, scalability, and profitability.
· We measured and tracked everything, analyzed that data, captured lessons learned, and continuously worked on improving (and documenting) every aspect of the business.
· A byproduct of this approach was that we could offer leaner pricing based on accurate estimates with very small error margins. Our pricing was competitive, we could fix the price for much of what we did, and our profit margins were very good. This allowed us to invest in further growth.
Our “attitude of better” also came across as confidence when selling to and working with new customers. Not only could we tell them stories of our success that included tangible metrics, but most of our customers became references willing to talk about the value we added. Their stories included discussions about how much better things became due to our work.
Better became the foundation of what we did and the basis of those customer success stories.
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