Tag Archives: Competitiveness

The Achilles Heel of Customer Journey Mapping

Journeying through western Wyoming in August 2011. Image Credit: me.

Achilles was that guy in Greek mythology whose mother, when he was born, wanted to protect him soooo much that she held him by the heel and dipped him in the power-giving waters of the River Styx — making him bullet proof (and much more; no bullets then), except at the heel, because for some reason she didn’t think about just dunking him a few inches deeper. Maybe she didn’t want to get her hand wet? Who knows. (In the research literature this is called perverse unintended consequences — it happens in business too. You try to make an improvement or protect against a particular hazard and oops, you made it worse.)

Customer Journey Maps (CJM)

I’ve been reading a lot about the Customer Journey Maps (CJM) technique used in marketing (see Folstad & Kvale (2018) for a fantastic and comprehensive review). It formalizes the very good suggestion that when you’re trying to figure out how to engage with prospects, you should put yourself in their shoes. Empathize with them. Figure out what they need, and when they need it. Then, identify how your company can not only meet them there — but connect with them in a compelling way.

CJM also goes beyond conceptual modeling. For example, Harbich et al (2017) uses Markov models to predict the most likely path and timing of a customer’s journey. Bernard & Andritsos (2018) mine actual customer journeys from sales force automation systems and use them in a Monte Carlo like way to uncover patterns. There’s even a patent on one method for mining journey data.

Benefits of Journey Maps

Annette Franz says that “done right, maps help companies in many ways, including to…

  • Understand experiences.
  • Design [new] experiences.
  • Implement and activate new experiences.
  • Communicate and share experiences.
  • Align the organization… get executive commitment for the customer experience (CX) strategy, get organizational adoption of the customer-centric focus, provide a line of sight to the customer for employees, and help employees understand how they impact the experience.”

But like Achilles, Customer Journey Mapping has a vulnerable spot that can wipe out all its potential benefits. (Fortunately, success lies in the way your organization wields the tool… so there’s a remedy.)

The Achilles Heel of CJM

Here’s the problem: creating a journey map does indeed ensure that you focus on the customer, but does not ensure that you’re focusing on that customer’s experience. Diagnosing Voice of the Customer (VoC) is hard [long explanation; shorter explanation], and there are tons of ways to do it! Through journey mapping, you may accidentally be focusing on your company’s experience of that customer throughout the stages of the journey. 

Diagnosing the Symptoms

How can you tell? Here’s a non-exhaustive list of ways to diagnose the symptoms, based on recent research and observing companies who do this since about 2009 (please add in the comments if you’ve observed any other ones):

  • Do you ever hear “How can we move the customer from [this stage] to [the next stage]?”
  • … or “How do we get more customers to join us [at this stage of the journey]?”
  • … or maybe “How can we get customers to [take this action] [at this stage of the journey]?”
  • Does your customer journey address differences in customer personas, or do you have a one-size-fits-all map? Rosenbaum et al (2016) says “We contend that most customer journey maps are critically flawed. They assume all customers of a particular organization experience the same organizational touchpoints and view these touchpoints as equally important.”
  • Do you systematically gather, analyze, and interpret data about what your current customers are experiencing, or do you just kind of guess or rely on your “experience”? (Hint: subconscious biases are always in play, and you’ll never know they’re there because they are subconscious).
  • Do you systematically gather, analyze, and interpret data about what your prospects would benefit from experiencing with/through you, or do you just kind of guess or rely on your “experience”?
  • Do you focus on ease of use over utility? (Just like perfect is the enemy of perfectly OK, easy can be the enemy of possible if you’re not careful. This often shows up in the journey mapping process.)

Like I mentioned earlier, this is definitely not a comprehensive list.

The Solution

What’s the solution? ASK. Ask your customer what they need. Find out about their pain points. Ask them what would make it easier for them to do their job. Finally, ask them if you’re getting it right! And even though I said “customer” — I do mean you should ask more than one of them, because needs and interests vary from person to person and industry to industry. Just interacting with one customer isn’t going to cut it.

Ask early, ask often! (As people learn and evolve, their needs change.)

Improving the Method

How can we improve the quality of customer journey mapping? Share your insights and lessons learned! CJM is a promising technique for helping organizations align around empathetic value propositions, but just like agile methods, it’s got to be applied strategically and deliberately… and then checked on a continuous basis to make sure the map is in tune with reality.

Happy World Quality Day 2018!

Each year, the second Thursday of November day is set aside to reflect on the way quality management can contribute to our work and our lives. Led by the Chartered Quality Institute (CQI) in the United Kingdom, World Quality Day provides a forum to reflect on how we implement more effective processes and systems that positively impact KPIs and business results — and celebrate outcomes and new insights.

This year’s theme is “Quality: A Question of Trust”.

We usually think of quality as an operations function. The quality system (whether we have quality management software implemented or not) helps us keep track of the health and effectiveness of our manufacturing, production, or service processes. Often, we do this to obtain ISO 9001:2015 certification, or achieve outcomes that are essential to how the public perceives us, like reducing scrap, rework, and customer complaints.

But the quality system encompasses all the ways we organize our business — ensuring that people, processes, software, and machines are aligned to meet strategic and operational goals. For example, QMS validation (which is a critical for quality management in the pharmaceutical industry), helps ensure that production equipment is continuously qualified to meet performance standards, and trust is not broken. Intelex partner Glemser Technologies explains in more detail in The Definitive Guide to Validating Your QMS in the Cloud. This extends to managing supplier relationships — building trust to cultivate rich partnerships in the business ecosystem out of agreements to work together.

This also extends to building and cultivating trust-based relationships with our colleagues, partners, and customers…

Read more about how Integrated Management Systems and Industry 4.0/ Quality 4.0 are part of this dynamic: https://community.intelex.com/explore/posts/world-quality-day-2018-question-trust

Quality 4.0 in Basic Terms (Interview)

On October 12th I dialed in to Quality Digest Live to chat with Dirk Dusharne, Editor-in-Chief of Quality Digest, about Quality 4.0 and my webinar on the topic which was held yesterday (October 16).

Check out my 13-minute interview here, starting at 14:05! It answers two questions:

  • What is Quality 4.0 – in really basic terms that are easy to remember?
  • How can we use these emerging technologies to support engagement and collaboration?

You can also read more about the topic here on the Intelex Community, or come to ASQ’s Quality 4.0 Summit in Dallas next month where I’ll be sharing more information along with other Quality 4.0 leaders like Jim Duarte of LJDUARTE and Associates and Dan Jacob of LNS Research.

Quality 4.0: Reveal Hidden Insights with Data Sci & Machine Learning (Webinar)

Quality Digest

What’s Quality 4.0, why is it important, and how can you use it to gain competitive advantage? Did you know you can benefit from Quality 4.0 even if you’re not a manufacturing organization? That’s right. I’ll tell you more next week.

Sign up for my 50-minute webinar at 2pm ET on Tuesday, October 16, 2018 — hosted by Dirk Dusharme and Mike Richman at Quality Digest. This won’t be your traditional “futures” talk to let you know about all of the exciting technology on the horizon… I’ve actually been doing and teaching data science, and applying machine learning to practical problems in quality improvement, for over a decade.

Come to this webinar if:

  1. You have a LOT of data and you don’t know where to begin
  2. You’re kind of behind… you still use paper and Excel and you’re hoping you don’t miss the opportunities here
  3. You’re a data scientist and you want to find out about quality and process improvement
  4. You’re a quality professional and you want to find out more about data science
  5. You’re a quality engineer and you want some professional preparation for what’s on the horizon
  6. You want to be sure you get on our Quality 4.0 mailing list to receive valuable information assets for the next couple years to help you identify and capture opportunities

Register Here! See you on Tuesday. If you can’t make it, we’ll also be at the ASQ Quality 4.0 Summit in Dallas next month sharing more information about the convergence of quality and Big Data.

Happy 10th Birthday!

10 years ago today, this blog published its first post: “How Do I Do a Lean Six Sigma (LSS) Project?” Looking back, it seems like a pretty simple place to have started. I didn’t know whether it would even be useful to anyone, but I was committed to making my personal PDSA cycles high-impact: I was going to export things I learned, or things I found valuable. (As it turns out, many people did appreciate the early posts even though it would take a few years for that to become evident!)

Since then, hundreds more have followed to help people understand more about quality and process improvement in theory and in practice. I started writing because I was in the middle of my PhD dissertation in the Quality Systems program at Indiana State, and I was discovering so many interesting nuggets of information that I wanted to share those with the world – particularly practitioners, who might not have lots of time (or even interest) in sifting through the research. In addition, I was using data science (and some machine learning, although at the time, it was much more difficult to implement) to explore quality-related problems, and could see the earliest signs that this new paradigm for problem solving might help fuel data-driven decision making in the workplace… if only we could make the advanced techniques easy for people in busy jobs to use and apply.

We’re not there yet, but as ASQ and other organizations recognize Quality 4.0 as a focus area, we’re much closer. As a result, I’ve made it my mission to help bring insights from research to practitioners, to make these new innovations real. If you are developing or demonstrating any new innovative techniques that relate to making people, processes, or products better, easier, faster, or less expensive — or reducing risks and building individual and organizational capabilities — let me know!

I’ve also learned a lot in the past decade, most of which I’ve spent helping undergraduate students develop and refine their data-driven decision making skills, and more recently at Intelex (provider of integrated environment, health & safety, and quality management EHSQ software to enterprises and smaller organizations). Here are some of the big lessons:

  1. People are complex. They have multidimensional lives, and work should support and enrich those lives. Any organization that cares about performance — internally and in the market — should examine how it can create complete and meaningful experiences. This applies not only to customers, but to employees and partners and suppliers. It also applies to anyone an organization has the power and potential to impact, no matter how small.
  2. Everybody wants to do a good job (and be recognized for it). How can we create environments where each person is empowered to contribute in all the areas where they have talent and interest? How can these same environments be designed with empathy as a core capability?
  3. Your data are your most valuable assets. It sounds trite, but data is becoming as valuable as warehouses, inventory, and equipment. I was involved in a project a few years ago where we digitized data that had been collected for three years — and by analyzing it, we uncovered improvement opportunities that when implemented, saved thousands of dollars a week. We would not have been able to do that if the data had remained scratched in pencil on thousands of sheets of well-worn legal paper.
  4. Nothing beats domain expertise (especially where data science is concerned). I’ve analyzed terabytes of data over the past decade, and in many cases, the secrets are subtle. Any time you’re using data to make decisions, be sure to engage the people with practical, on-the-ground experience in the area you’re studying.
  5. Self-awareness must be cultivated. The older you get, and the more experience you gain, the more you know what you don’t know. Many of my junior colleagues (and yours) haven’t reached this point yet, and will need some help from senior colleagues to gain this awareness. At the same time, those of you who are senior have valuable lessons to learn from your junior colleagues, too! Quality improvement is grounded in personal and organizational learning, and processes should help people help each other uncover blind spots and work through them — without fear.

Most of all, I discovered that what really matters is learning. We can spend time supporting human and organizational performance, developing and refining processes that have quality baked in, and making sure that products meet all their specifications. But what’s going on under the surface is more profound: people are learning about themselves, they are learning about how to transform inputs into outputs in a way that adds value, and they are learning about each other and their environment. Our processes just encapsulate that organizational knowledge that we develop as we learn.

Quality 4.0: Let’s Get Digital

Want to find out what Quality 4.0 really is — and start realizing the benefits for your organization? If so, check out the October 2018 issue of ASQ’s Quality Progress, where my new article (“Let’s Get Digital“) does just that.

Quality 4.0 asks how we can leverage connected, intelligent, automated (C-I-A) technologies to increase efficiency, effectiveness, and satisfaction: “As connected, intelligent and automated systems are more widely adopted, we can once again expect a renaissance in quality tools and methods.” In addition, we’re working to bring this to the forefront of quality management and quality engineering practice at Intelex.

Quality 4.0 Evolution

The progression can be summarized through four themes. We’re in the “quality as discovery” stage today:

  • Quality as inspection: In the early days, quality assurance relied on inspecting bad quality out of items produced. Walter A. Shewhart’s methods for statistical process control (SPC) helped operators determine whether variation was due to random or special causes.
  • Quality as design: Next, more holistic methods emerged for designing quality in to processes. The goal is to prevent quality problems before they occur. These movements were inspired by W. Edwards Deming’s push to cease dependence on inspection, and Juran’s Quality by Design.
  • Quality as empowerment: By the 1990’s, organizations adopting TQM and Six Sigma advocated a holistic approach to quality. Quality is everyone’s responsibility and empowered individuals contribute to continuous improvement.
  • Quality as discovery: Because of emerging technologies, we’re at a new frontier. In an adaptive, intelligent environment, quality depends on how:
    • quickly we can discover and aggregate new data sources,
    • effectively we can discover root causes and
    • how well we can discover new insights about ourselves, our products and our organizations.”

Read more at http://asq.org/quality-progress/2018/10/basic-quality/lets-get-digital.html  or download the PDF (http://asq.org/quality-progress/2018/10/basic-quality/lets-get-digital.pdf)

Value Propositions for Quality 4.0

In previous articles, we introduced Quality 4.0, the pursuit of performance excellence as an integral part of an organization’s digital transformation. It’s one aspect of Industry 4.0 transformation towards intelligent automation: smart, hyperconnected(*) agents deployed in environments where humans and machines cooperate and leverage data to achieve shared goals.

Automation is a spectrum: an operator can specify a process that a computer or intelligent agent executes, the computer can make decisions for an operator to approve or adjust, or the computer can make and execute all decisions. Similarly, machine intelligence is a spectrum: an algorithm can provide advice, take action with approvals or adjustments, or take action on its own. We have to decide what value is generated when we introduce various degrees of intelligence and automation in our organizations.

How can Quality 4.0 help your organization? How can you improve the performance of your people, projects, products, and entire organizations by implementing technologies like artificial intelligence, machine learning, robotic process automation, and blockchain?

A value proposition is a statement that explains what benefits a product or activity will deliver. Quality 4.0 initiatives have these kinds of value propositions:

  1. Augment (or improve upon) human intelligence
  2. Increase the speed and quality of decision-making
  3. Improve transparency, traceability, and auditability
  4. Anticipate changes, reveal biases, and adapt to new circumstances and knowledge
  5. Evolve relationships and organizational boundaries to reveal opportunities for continuous improvement and new business models
  6. Learn how to learn; cultivate self-awareness and other-awareness as a skill

Quality 4.0 initiatives add intelligence to monitoring and managing operations – for example, predictive maintenance can help you anticipate equipment failures and proactively reduce downtime. They can help you assess supply chain risk on an ongoing basis, or help you decide whether to take corrective action. They can also improve help you improve cybersecurity: documenting and benchmarking processes can provide a basis for detecting anomalies, and understanding expected performance can help you detect potential attacks.


(*) Hyperconnected = (nearly) always on, (nearly) always accessible.

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