Tag Archives: customer service

Building Customer Loyalty through Exceptional Service

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Building Customer Loyalty through Exceptional Service

GUEST POST from Chateau G Pato

In today’s highly competitive business landscape, acquiring new customers is becoming increasingly challenging. To maintain a competitive edge, businesses need to focus on building customer loyalty. Customer loyalty is not just about offering a great product or competitive pricing; it is also about providing exceptional service. This article will delve into the importance of exceptional service and provide two case studies that illustrate how companies have successfully built customer loyalty through this approach.

Case Study 1: Zappos – Delivering Happiness

Zappos, the online shoe and clothing retailer, has become synonymous with exceptional customer service. Their commitment to providing the best service possible has become their unique selling proposition. They believe that happier customers lead to more loyal customers, and in turn, increased business success.

Zappos demonstrates this philosophy through their exceptional returns policy. They offer a 365-day return period, allowing customers to try on their purchases and return them hassle-free if they’re not satisfied. Their customer service representatives are available 24/7 and are empowered to solve problems creatively, going above and beyond to exceed customer expectations.

By prioritizing customer satisfaction over short-term gains, Zappos has cultivated a loyal customer base. These customers not only return for repeat purchases but also become brand ambassadors, spreading positive word-of-mouth and recommending Zappos to their friends and family.

Case Study 2: Ritz-Carlton – Personalized Experiences

Ritz-Carlton, a luxury hotel chain, understands that exceptional service is crucial in the hospitality industry. They have built a reputation for providing personalized experiences that leave a lasting impression on their guests.

One remarkable example of their commitment to exceptional service is the “Cleo’s Lemonade Stand” story, which has become legendary in the customer service world. A family staying at the Ritz-Carlton’s Amelia Island location had a child with severe food allergies. The family had forgotten to pack the child’s special lemonade, which they desperately needed to prevent a potentially life-threatening allergic reaction.

Recognizing the urgency, a Ritz-Carlton employee went above and beyond to procure the specific lemonade, driving to six different local stores until he found it. The employee ensured that the child’s stay at the hotel was not only safe but also filled with joy.

This personalized and empathetic approach to customer service has earned Ritz-Carlton a level of loyalty that extends beyond mere satisfaction. Guests not only continue to return to their hotels but also become lifelong advocates, sharing their exceptional experiences with others.

Conclusion

Exceptional service is the key to building customer loyalty, and these case studies underscore the significance of going above and beyond to exceed customer expectations. Zappos and Ritz-Carlton have demonstrated that by prioritizing customer satisfaction and delivering exceptional experiences, businesses can cultivate loyal customers who become organic brand ambassadors. In today’s competitive marketplace, exceptional service should be a top priority for businesses striving to build meaningful connections with their customers and thrive in the long run.

SPECIAL BONUS: Braden Kelley’s Problem Finding Canvas can be a super useful starting point for doing design thinking or human-centered design.

“The Problem Finding Canvas should help you investigate a handful of areas to explore, choose the one most important to you, extract all of the potential challenges and opportunities and choose one to prioritize.”

Image credit: Pexels

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The Role of AI in Shaping the Future of Work

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The Role of AI in Shaping the Future of Work

GUEST POST from Chateau G Pato

Artificial Intelligence (AI) is no longer just a concept from science fiction movies – it has become a reality that is reshaping various industries, including the way we work. As AI technologies continue to evolve, they are playing an increasingly significant role in revolutionizing work processes across different sectors. In this article, we will explore how AI is shaping the future of work and discuss two case study examples that demonstrate its potential.

Case Study 1 – Customer Service

One prominent example of AI transforming the workplace is in the field of customer service. Traditionally, customer inquiries were handled by human operators, often resulting in long wait times and limited availability. However, with the advent of AI-powered chatbots, organizations are able to provide 24/7 customer support with minimal wait times. These AI chatbots are capable of understanding and responding to customer queries in real-time, offering personalized assistance and resolving issues efficiently. For instance, leading global e-commerce platform, Amazon, utilizes AI-powered chatbots to assist customers with order inquiries, tracking shipments, and answering frequently asked questions. The implementation of these AI chatbots has not only improved customer satisfaction but also reduced the workload for human customer service agents, allowing them to focus on more complex and specialized tasks.

Case Study 2 – Healthcare

Another example of AI’s impact on work processes can be seen in the healthcare industry. Medical professionals are now leveraging AI technologies to enhance diagnostic accuracy and patient care. AI algorithms can analyze vast amounts of medical data, including patient records, lab results, and medical images, to assist doctors in making more informed decisions. One such case study involves the use of AI in radiology. A study published in Nature found that an AI algorithm developed by Google’s DeepMind outperformed human radiologists in detecting breast cancer from mammogram images. By leveraging AI’s ability to detect subtle patterns and anomalies, this technology has the potential to tremendously improve early diagnosis rates and reduce the burden on radiologists.

Beyond Healthcare and Customer Service

The application of AI in the workplace extends beyond customer service and healthcare. Industries such as finance, manufacturing, and logistics are also witnessing the transformational impact of AI on work processes. Financial institutions are employing AI-powered algorithms to automate repetitive tasks, such as fraud detection and risk assessment, enabling them to operate more efficiently and securely. In manufacturing, AI-powered robots are being utilized for tasks that require precision and repetitive manual labor, resulting in increased productivity and cost savings. Moreover, in logistics and supply chain management, AI technologies are being used to optimize route planning, inventory management, and demand forecasting, reducing operational costs and enhancing delivery efficiency.

As AI continues to evolve, it is evident that its role in shaping the future of work will expand even further. It presents both opportunities and challenges. While the implementation of AI can automate mundane tasks, improve efficiency, and reduce human error, it also raises concerns about job displacement and the need for upskilling. It is important for organizations and individuals to adapt and embrace AI technologies to stay competitive in the evolving job market.

Conclusion

AI is revolutionizing the way we work across various industries. Case studies show that AI-powered chatbots are transforming customer service, ensuring round-the-clock assistance and enhancing customer satisfaction. Additionally, AI algorithms are augmenting the capabilities of healthcare professionals, allowing for more accurate diagnoses and improved patient care. From finance to manufacturing and logistics, AI is impacting work processes and opening up new opportunities for efficiency and innovation. The future of work is undoubtedly intertwined with AI, and embracing its potential will be essential for success in the evolving job market.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Turning Customer Service Interactions into Innovation Briefs

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Deep Listening

Turning Customer Service Interactions into Innovation Briefs

GUEST POST from Chateau G Pato
LAST UPDATED: January 5, 2026 at 11:12AM

In our current world, many organizations are making a fatal strategic error. They are treating customer service as a cost center to be minimized through automation rather than a fountain of intelligence to be mined for growth. As we navigate a world where AI agents handle the transactional “how-to” questions, the interactions that remain with human agents — or advanced AI collaborators — are the most complex, emotionally charged, and insight-rich data points an organization possesses. To move forward, we must master the art of Deep Listening.

Deep Listening is the practice of looking past the immediate request or complaint to identify the underlying friction that exists in the customer’s life. Every support ticket is a signal. Every frustrated chat session is a map to a market gap. As a specialist in Human-Centered Innovation™, I believe that innovation is change with impact, and the highest impact often comes from solving the “unspoken” problems hidden within your service logs. We must stop closing tickets and start opening Innovation Briefs.

“The most expensive data in the world is the feedback you have already paid for through your service department but never actually heard. A customer’s complaint is not a nuisance; it is a ‘useful seed of invention’ wrapped in a moment of friction.” — Braden Kelley

From Transactional Support to Strategic Insights

In the traditional model, a customer calls, an agent solves the problem, and the case is closed. The metric for success is Average Handle Time (AHT) — a metric that encourages speed over understanding. In a 2026 innovation-led economy, AHT is a trap. If an agent (human or AI) identifies a recurring systemic issue and documents it as a potential innovation, that interaction is infinitely more valuable than a ten-second “resolution” that leaves the root cause intact.

This shift requires us to dismantle the Corporate Antibody that separates “Support” from “Product.” When the service team is siloed, the insights they gather are seen as noise rather than signal. Deep Listening requires a cultural infrastructure where frontline insights have a direct, high-speed rail to the research and development labs.

Case Study 1: The Fintech “Invisible Barrier”

The Challenge: A leading digital banking startup noticed a surge in “abandoned” account setups in early 2025. Standard metrics suggested the UI was fine, and technical support reported no bugs. Most agents were simply walking users through the final step manually.

The Deep Listening Pivot: Instead of focusing on “fixing the user,” the team analyzed the emotional context of the service calls. They discovered that users weren’t confused by the buttons; they were anxious about the security terminology used during the final authorization. The friction wasn’t technical; it was psychological.

The Result: By transforming these service calls into an Innovation Brief, the product team redesigned the onboarding to use “Reassuring Language Design.” Conversion increased by 40% in one month. The “service issue” became the blueprint for a new competitive advantage in user trust.

Case Study 2: Sustainable Logistics and the Packaging Pivot

The Challenge: A global e-commerce giant was receiving thousands of inquiries about “excessive packaging.” Transactional support was instructed to apologize and offer a small credit. This was costing the company millions in credits and carbon footprint.

The Deep Listening Pivot: The company empowered their agents to tag these calls for a cross-functional “Innovation Task Force.” The agents shared that customers weren’t just complaining about waste; they were actively suggesting “returnable” packaging solutions during their rants.

The Result: This feedback led to the creation of the “Circular Box” initiative — a subscription-based packaging model that is now a standalone revenue stream. By listening to the intent behind the frustration, the company turned a service headache into a sustainable business model innovation.

Leading Companies and Startups to Watch

As we move deeper into 2026, several players are redefining the intersection of service and innovation. Gong and Chorus.ai have paved the way for “revenue intelligence,” but keep a close eye on Viable and Maze, which are using agentic AI to synthesize qualitative customer feedback into structured innovation roadmaps in real-time. Zendesk is also evolving, moving away from simple ticketing toward “Service-Led Growth” frameworks. In the startup space, companies like Enterpret are leading the charge in unearthing these useful seeds of invention across fragmented feedback channels, ensuring that no human insight is left on the cutting room floor.

Conclusion: Leading with Empathy and Agency

To succeed in a disrupted market, we must move beyond the “Efficiency Trap.” We must provide our service teams with the psychological safety and agency to act as researchers. When an employee feels that their observation can lead to a fundamental change in the company’s direction, their engagement skyrockets. This is the heart of Human-Centered Innovation™.

Remember, if you are searching for an innovation speaker to help your organization bridge the gap between customer pain and product gain, suggest Braden Kelley. The path to the future is paved with the conversations you are having today. Make sure you are actually listening.

Frequently Asked Questions

What is an “Innovation Brief” in customer service?

An Innovation Brief is a structured document that moves beyond solving a single customer’s problem to identifying a recurring systemic friction point. It includes the context of the pain, the potential market impact, and a proposed human-centered solution for the product or service design team.

How does Deep Listening differ from active listening?

While active listening focuses on understanding and validating the person in the moment, Deep Listening adds a layer of strategic inquiry. It seeks to understand the “systemic why” behind the interaction — looking for patterns that signal a need for broader organizational change or innovation.

How do you overcome the “Corporate Antibody” when service suggests innovation?

You must align the incentives. When the product team is measured by the reduction of “preventable service volume” and the service team is measured by “insights contributed,” the two groups naturally collaborate. Innovation is a team sport that starts with the front line.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credits: Google Gemini

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The Benefits of Using Chatbots for Customer Service

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The Benefits of Using Chatbots for Customer Service

GUEST POST from Art Inteligencia

The use of chatbots for customer service is becoming increasingly popular, particularly in the e-commerce industry. Chatbots are automated software programs that are designed to simulate human conversations. They are often used to provide customer service and to help customers find the answers they need quickly and easily.

Chatbots have a number of advantages over traditional customer service methods, such as telephone support or email. They are available 24/7, allowing customers to get help whenever they need it. In addition, chatbots can be programmed to respond quickly to customer inquiries, providing fast and efficient service. This can be particularly useful during peak times when customer service representatives may be overwhelmed with calls or emails.

Chatbots also provide a more human-like experience for customers. They can be programmed to use natural language processing, allowing them to understand and respond to customer inquiries in a more conversational way. This helps to create a more pleasant customer experience and can even help to build brand loyalty.

Taken another way, here are five ways chatbots improve customer experience:

1. Proactive Service: Chatbots can be programmed to anticipate customer needs and proactively provide helpful information and services. This can help reduce customer effort and improve the overall customer experience.

2. 24/7 Availability: Chatbots can be available 24/7 to help customers with their inquiries and requests. This eliminates the need for customers to wait in line, or wait for a customer service representative to become available.

3. Fast Response Times: Chatbots can provide fast response times to customer inquiries, typically within seconds. This improves customer satisfaction as customers don’t have to wait long periods of time to receive an answer.

4. Personalized Interactions: Chatbots can be programmed to provide personalized interactions to customers. This helps customers feel that they are engaging with a “real” person and improves the overall customer experience.

5. Automation: Chatbots can automate many processes such as order placement, customer service inquiries, and account management. This reduces customer effort and helps customers complete tasks faster.

Chatbots can also be used to collect customer feedback, providing valuable insights into customer sentiment and helping businesses to improve their products and services. Chatbots can be programmed to ask customers questions about their experiences and can then analyze the data to identify trends and patterns. This can help businesses to identify areas of improvement and make changes accordingly.

Finally, chatbots can be used to automate certain customer service tasks, such as order processing or product returns. This can help to streamline the customer service process and free up customer service representatives to focus on more complex issues.

In summary, chatbots can be a useful tool for businesses looking to provide better customer service. They are available 24/7, provide a more human-like experience, collect customer feedback, and can automate certain customer service tasks. With the right chatbot software, businesses can improve the customer service experience while reducing costs and increasing efficiency.

Image credit: Unsplash

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FedEx Not Keeping Pace

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FedEx Not Keeping PaceFedEx took the shipping world by storm about forty years ago, growing to become the defacto shipping leader, unseating UPS and DHL. But, then after thirty years of strong growth they began to lose their mojo. In 2003, in a reaction to UPS’ acquisition of Mail Boxes Etc., FedEx announced they were buying Kinko’s, a large United States based copy center chain. For me this showed that FedEx was beginning to lose its way, and it appears their connection to customer expectations and the current capabilities of technology is failing. For a company based on the promise of speed, FedEx is becoming increasingly slow.

Increasingly frustrated with the performance of FedEx, Amazon has increasingly turned to the United States Postal Service to deliver its packages, striking a special deals with USPS to even deliver packages on Sunday. And now, Amazon is beginning to buy trailers so they can potentially contract directly with truck drivers to help them move inventory from one distribution node to another.

And for me, my latest FedEx misadventure is a perfect example of why FedEx is now in trouble and at risk of falling from its perch. Here’s what’s happened so far.

  1. I ordered a new laptop from HP that was supposed to arrive in three (3) days on Saturday, July 9th
  2. On Saturday, July 9th I received no contact from FedEx or estimate for when my package might be delivered
  3. On Saturday, July 9th FedEx attempted to deliver the package when we weren’t home
  4. For some reason FedEx then determined they were going to wait THREE DAYS before attempting re-deliver the package
  5. On Tuesday, July 12th I received no contact from FedEx or estimate for when my package might be delivered
  6. On Tuesday, July 12th FedEx despite someone being home nearly all day, FedEx attempted to deliver the package when we weren’t home
  7. On Wednesday, July 13th I received no contact from FedEx or estimate for when my package might be delivered
  8. On Wednesday, July 13th FedEx despite someone being home nearly all day, FedEx attempted to deliver the package when we weren’t home
  9. On Thursday, July 14th I received a missed call and voicemail from FedEx
  10. On Thursday, July 14th I attempted to call the FedEx number given and nobody answered the phone, got voicemail and left message
  11. On Friday, July 15th the Web site indicated that package would be delivered again that day, but no delivery came
  12. On Friday, July 15th I called FedEx and got voicemail
  13. On Friday, July 15th I called FedEx again and got a person, hooray! But, the person said my only option was to drive a fair distance to come pick it up or have it delivered to a FedEx location near me.
  14. On Friday, July 15th I chose to have the package delivered to my local FedEx location (a Kinko’s about 5-10 miles away) under the impression it would be available Saturday, July 16th at this location for my pickup and that they would probably call me after it arrived
  15. On Saturday, July 16th I went to the Kinko’s around 7pm figuring that it must be there by that time (How long could it take to ship a package 15-20 miles from one FedEx location to another?)
  16. On Saturday, July 16th at the Kinko’s the employee was unable to find the package
  17. On Saturday, July 16th at the Kinko’s the employee was unable to get any information from their systems because they were down for maintenance
  18. On Saturday, July 16th at the Kinko’s the employee was able to call and using a voice response system get a Tuesday, July 19th delivery estimate to their location
  19. On Monday, July 18th I received a postcard from FedEx saying they had tried to deliver my package three times and to contact them (NOTE: this was a very confusing postcard, not obvious what to do)
  20. On Tuesday, July 19th I received a phone call from the FedEx Kinko’s store saying they had my package, and I picked it up a few hours later after they used my name (no technology) to search a pile of packages in the back

VERY BAD EXPERIENCE – I got my package TEN DAYS AFTER I was supposed to get it, and nearly two weeks after I ordered the laptop.

Inaccurate information on the web site, poor customer service, bad technology, slow resolution…

These are all signs that this logistics company has gone off track and has not kept pace with the capabilities of technology today.

There is no reason why FedEx shouldn’t have been able to:

  • Show me online exactly where my package is
  • When FedEx is estimating it to be delivered based on the packages loaded on the truck and the planned route
  • Offer me the opportunity to select an alternate delivery time or date or location if the likely delivery time doesn’t work for me

This would be customer service.

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Service Redesign – Lost T-Mobile Smartphone

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Service Redesign - Lost T-Mobile Smartphone

Given the health risks of carrying a smartphone (or any kind of mobile device) too close to the body for extended periods, I try to always remove electronic devices from my pockets whenever I can. For ten years this has never caused a problem until Saturday. This marked the first time in more than a decade that I walked off and forgot my smartphone.

Now I’ve had the joy of reporting my lost phone to T-Mobile and getting a less than helpful response. Not because the agent I spoke with didn’t try to be helpful, but because the customer service representative was trapped inside of a service experience that wasn’t designed to meet the goals of the customer.

First I must mention that I don’t have a find my phone type app installed on my phone because I don’t like the idea of someone tracking me all the time. Second, yes, I know that even with location awareness or GPS turned off that my phone is being tracked anyways, but I still like to maintain the illusion that my every move isn’t being tracked. So, please humor me.

The fact is that T-Mobile could tell me exactly where my phone is even without such an app, but then they would have to breach the illusion and admit that they’re always tracking where every phone is at all times. Not such a good customer experience.

Redesigning the Lost Smartphone Experience

I’m only one person so this list won’t be as good as if I was working on this with a small team and prototyping with customers, but let’s ignore that for now and try to come up with a list of customer goals (and thus opportunities to delight) in the lost smartphone scenario:

  1. I don’t want someone to use my phone after I lose it to make calls that I’ll have to pay for (international calls, premium calls, etc.)
  2. I don’t want someone to buy anything (apps, music or other content that I’ll have to pay for)
  3. I don’t want someone to call my contacts
  4. I don’t want someone to use my apps and make in app purchases
  5. I don’t want someone to use my texting function (SMS) – read, send, etc.
  6. I don’t want someone to use my email – read, send, etc.
  7. I don’t want someone accessing my photos
  8. I don’t want someone to steal information about my contacts
  9. I want to be able to call my phone to try and speak with the person who found it so I can try and get it back
  10. I want the person to be able to call me or T-Mobile to let me know that they’ve found my phone

In short, I don’t want someone who finds my phone to be able to do anything other than contact me to let me know when and where I can come pick it up.

But, when I called to T-Mobile to report my phone lost the only option was to have the phone disabled. Prior to doing so, calling my phone was going straight to voicemail, and maybe I should have left a voicemail, but I didn’t, I thought I would try again later. After they disabled my phone, instead of getting voicemail I got a message saying the phone has been reported lost and that I wouldn’t be able to leave a voicemail. This is partially helpful, but not completely. Now I can’t call the phone and if someone has found the phone, they can’t try to contact anyone to arrange a pickup.

T-Mobile has met goal #1 (and possibly #2-4), but likely they could access #5-8 (able to read but probably not to send).

But, there are many other goals that have not been met. Most importantly, T-Mobile has actually made it less likely that I will get my phone back because I have no way of communicating with the person who may have my phone.

What could T-Mobile do to make this experience better?

Simple.

When a phone is reported lost, T-Mobile should make it so that the phone can only call T-Mobile. If the person calls, then T-Mobile knows which number is calling, can get information from the caller to connect the two parties to arrange a pickup, and pass on the contact details to the subscriber via pre-arranged methods.

Second, T-Mobile should allow designated numbers to call the phone, so that the subscriber can try to get in touch with whoever found the phone.

Third, T-Mobile could call the phone every 15-30min with a robot until someone answers and connect them with a T-Mobile representative.

These three small changes to their lost phone service design would make an immediate positive impact in the customer experience for thousands of customers.

How else could T-Mobile make the experience better?

Image credit: easyhacker.com

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Following the Line to Innovation

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Following the Line to InnovationOK, it may not really be an innovation, but I appreciated the following operational efficiency anyway:

Going to check out of the Hilton New York City, there was a queue in spite of the several available kiosks and multiple employees staffing the counter to help customers with various requests. Hilton had obviously invested in some business process consulting (or possibly listened to an employee suggestion) because in addition to the kiosks and the employees staffing the counter, they had an employee staffing the line to identify the needs of guests while they waited in line.

In my case, she asked how my stay was and I told her the story about how I had difficulty with the WiFi not allowing me back into my work e-mail after the connection went down and came back up again. I told her that the first night it worked fine and that I expected not to pay for the second night because it didn’t work properly (leaving important time-critical messages stuck in my outbox). She was sympathetic, but I halfway expected to have to tell the story all over again when I got up to the counter (as this is the typical bad customer experience on the phone or in person). I was surprised and impressed when she told the counter person to take off the second night’s WiFi and that I was ready to check out. Thankfully, I didn’t have to tell the story again.

This is good operational practice for a couple of reasons:

  1. It gave them a way of increasing throughput during busy times when they would otherwise be limited by the number of computer workstations.
  2. It provided a good customer experience. I only had to tell the story once.
  3. I was on my way much more quickly as a result, and the counter person was on to their next customer more quickly as well
  4. The poor person behind me didn’t have to wait while I told my story again, and potentially argued with the counter person because this had already been taken care of while we were both waiting in line (except no arguing was necessary).
  5. If the customer has no special needs, the employee can direct the customer to an available kiosk.

This example, while more about good operational practice and customer service than innovation, does provide the opportunity to identify process innovation opportunities if we look at our own business through a lens of separating the customer experience into the following parts:

  1. Information Gathering
  2. Information Evaluation
  3. Information Processing

Are there times in your business when your customers are waiting? Why are they waiting?

Innovation Training for your whole organization from Braden Kelley

Do you have certain resources that reach capacity quickly or for sustained periods during busy times that you can’t expand easily?

Is there a way to utilize that waiting time to separate out the information gathering or information evaluation components of a customer interaction, to allow for a division of labor that can be more easily flexed to accommodate demand spikes?

In a phone scenario, could you not implement an interactive voice response phone system that notifies the customer how long they can expect to wait and then transitions to a “While you are waiting…” message and then asks the customer for their name, account number, and phone number to either be played for the agent before transferring the call, or maybe even trying to do some kind of speech to text and facilitate a record-lookup using that information?

Maybe you need to allow your skilled people to focus on information evaluation and processing, while lower skilled people focus on information gathering. Or, maybe in your industry the skilled people are at the front end, focusing on information gathering and evaluation and need to be separated from the information processing tasks.

In a manufacturing environment, while we don’t talk about information gathering, evaluation, or processing, we still use the same logic to evaluate the overall system throughput. Then, break it down into components so that we can identify and manage critical constraints and manage them in a way that maximizes throughput.

So whether you are in a manufacturing or a service environment, are you constantly looking for ways to optimize throughput and maximize profits or customer service (or maybe even both)?

What are your favorite stories of process innovations that have led to improved customer service or manufacturing efficiencies?

P.S. Continue reading on this topic by reading – Followup – Following the Line to Innovation at Costco

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