Back to the Future: Should Service Execution begin with the handover from Engineering?

I had the privilege to present to the Advanced Manufacturing Research Centre (AMRC) of the University of Sheffield. Their website is packed with tags like “tomorrow done better”, “shaping the future of manufacturing”, and “world-leading technology experts”. What better place to discuss the topic of Design-for-Service with an audience immersed in Design-for-Manufacturability (DFM)? Allow me to share a back-to-the-future story. 

Blindfolded 

Service Blindfold challenge: Win $1000 cash.

About two years back, we interviewed a contingent of field service technicians. We asked them what makes them happy and what puts them off. 

In short, technicians love to be the hero-on-site, fixing technology and keeping the world running.  

On the flip side, they dislike going on a job blindfolded, with their hands cuffed and not being empowered to do their job. 

To elevate a technician’s role from reactive fire-fighter to proactive savior, first and foremost, we need to give them tools to see. This includes understanding what the product is, its current state, and how it is being utilized. Rather than immediately entering repair mode, it’s crucial to provide engineers with access to product engineering data, using this information so that they can diagnose the problem effectively. This is where the handover between engineering and service unfolds. 

Intellectual property 

When Engineering designs a product, they have specific use cases, product output, and performance in mind. For an original equipment manufacturer (OEM) the entire design and engineering thought process is considered intellectual property (IP), leading to the creation of great products. It’s the IP that sets their product apart from the competition. 

Then those products go into the field and buyers start using them. This is where the rubber hits the road. Does the product in the field behave like it was designed to in the development lab?  

Products in the field are best taken care of by Service. The more information Service knows about the engineering IP, the more efficient and effective Service can be in managing and supporting the operational lifecycle of the product. When mastered, you can even use Service as the primary revenue model

The IP can also flow from Service to Engineering. Throughout the operational lifecycle of a product, the Service team has multiple touch points with the product. Each touch point generates data. This data is on the actual behavior and performance of the product.  

Now we have two sets of data; the planned data from Engineering and the actual data gathered from Service. This opens up a plethora of instruments for continuous improvement. This improvement includes data for personnel in engineering, quality control, sales, product planning, supply chain, service sales, and service delivery. 

Handover from Engineering 

Not only in this Advanced Manufacturing Research Centre (AMRC) discussion– but in practically all conversations we have with OEMs– we often get to a point where product focus and service focus end up on two ends of a scale. It’s as if they are being treated as mutually exclusive; which should not be the case. 

There is a middle ground. Through the use of technology to hand over the engineering IP to Service and have Service embed that IP in their service execution processes we remove the blindfold. This is best illustrated through the function of maintenance engineering. 

A visual representation of the function of maintenance engineering

Maintenance engineering defines how to maintain the product, it sustains the product performance and output. Service translates the engineering-BoM into a service-BoM, identifies spare parts & kits, and creates preventive maintenance schemas. They also bundle installation, maintenance, and operating manuals. 

The good news is, the technology to hand over engineering data to Service in a clear and digestable format is there. Even better, most OEMs have a maintenance engineering function created in their IP making the barrier for entry low.  

Back to the Future 

Since November last year, I’ve been using the maintenance engineering narrative more forthrightly. I’m fascinated by the responses I get from customers, prospects, and researchers. First, a deafening silence, then comprehension and realization. It’s all so logical. It’s all so prognostic. So why haven’t we jumped on the bandwagon? 

To get a feeling of the engineering-service-handshake in 2023, we spoke to 50 service business leaders at Copperberg Field Service Forum. We started with an easy question. How many pages does the maintenance manual of a medium complex product have in your organization? The response: anything between 20-2,000 pages.  

We progressed to the more difficult questions. What information is in that document? Where is the document stored? Who reads it? Why? Why not? Does the content bring value? Should one use it? The conversation was not meant to create anxiety, but to make one see how existing engineering IP could be leveraged better in the service domain. 

It’s today’s technology that makes it possible to act on the handover from engineering to service, to apply the maintainability concepts in service execution, and to reap the business benefits. This puts the ball back in the court of OEMs. Do you want to remain silent or do you want to act now? Do you want to walk the talk? 

I am guessing that this will not be our last conversation on this topic. 

 See why service needs to be a team sport: Learn More 

This article is published on Field Service Digital and PTC Blog.

Keeping Your Assets in Shape

Do you have this feeling that the battery of your phone drains faster and faster? Internet forums are full of testimonials and resolutions for keeping your battery in tip-top shape. How does this apply to B2B products, equipment and assets? Can asset owners monitor the performance of the equipment, and what handles do they have to maintain output/ outcome at the nominal level promised at point of sale?

For many years I’ve captured the digital and service transformation journey in a single tagline: “from fixing what breaks to knowing what works.” The message is driven by a simple principle: customers expect things to work. Even more, they expect the outcome of the asset to be stable over the lifecycle.

Another simple truth is that everything eventually deteriorates and breaks. This prompts the following questions:

  • What is the life expectancy of the asset? 
  • What do I need to do to keep the asset in shape?
  • What can I do to extend the life cycle of the asset?

Building a Fitness Plan

Preventive maintenance might be the first thing that comes to mind as the way to keep your assets in shape. But what does preventive maintenance (PM) prevent? And how does it affect asset performance and life expectancy? This was a tough question to answer when one of my counterparts in procurement, who was looking to reduce the selling price of a service contract, asked me, “What will happen when we reduce the PM effort by lengthening the interval?” This was even more difficult to answer when it became a numbers game, and the purchaser asked me to prove the offset between PM and break-fix. 

So where do we look next? I propose condition-based maintenance.  

We know that the performance of an asset will deteriorate over time, and we know the rate of deterioration will depend on various attributes like aging and usage. Because these attributes are measurable, we can use them as levels to trigger a service intervention. 

So rather than taking a one-size-fits-all approach based on time intervals, you can create a custom fitness plan for keeping your assets in shape. One that looks at the condition of the asset in relation to its expected performance. This can look like an intervention being triggered when the output of an asset or the viscosity of a lubricant drops below a certain threshold. 

To continue with the fitness metaphor, we often don’t just want to stay in shape—we also want to increase our longevity and even get in better shape as we age. When it comes to your assets, this is where mid-life upgrades, booster-packs and engineering changes come into play. And in the same way you use predefined levers to trigger service interventions, you should use these levers to trigger updates, upgrades and lifecycle extensions.

Both of these service strategies use asset health at the core of your service delivery model, steering you away from ‘fixing what breaks’ and towards ‘knowing what works.’

A Real Life Example

Imagine you have a pump and valve combination that has a nominal capacity of 140 m3/h.

If you used a preventive maintenance model that runs every 6 months, it would not take into account the age of the pump and valve combination, nor would it account for the corrosiveness of the transported materials. 

But if you took a condition-based approach using IoT-connected sensors, you could measure attributes like vibration, temperature, and energy consumption and use them as indicators for asset performance. For example, if the capacity drops below 130 m3/h, a service intervention would be triggered. It’s like the pump saying: “I’m not feeling well, I need a medicine.” On top of this, if you detect the pump is consistently pushed beyond original specifications, you can know that it’s necessary to initiate an upgrade conversation to safeguard asset health and durability.

Asset Centricity

The common theme of these service strategies is asset centricity. It’s about putting asset health at the core of your service delivery model and continuously comparing an asset’s current output with its expected performance.

By looking at current performance, expected performance and demand, you can also advise your customers on when it’s time to downgrade or upgrade the asset. Through this asset-centric lens you can truly become a fitness coach, advising your customers on the right fitness program that will keep their assets in tip-top shape.Learn more about IoT and condition-based maintenance here.

This article is published in ServiceMax Field Service Digital on September 1st, 2021 and Field Service News on August 25th, 2021.

Using trigger points to manage your service business

Sometimes it feels like being a jack of all trades when managing a service business. On the one hand you act like a firefighter, on the other hand you know service is strategic to your business’s future earnings. That said, how do you elevate your job from the reactive to the proactive? Establishing trigger points may be the key ingredient to manage your business on an 80/20 basis. Thus, giving you the focus on interventions that matter.

Define success

When do you know you are doing a great job? In speaking to many service executives, it is not always clear what the norm is. “We want to increase service revenue by 20%”. Why 20%? Why not more? Why not less? In my blog Mind the Gap I tried to establish a norm for a maximum service revenue. In a blog by Shawn LaRocco he defined a norm for Cost to Serve. Both blogs have in common that success is put in a perspective of a norm.

Triggering the outliers

A facilities management customer of ours is processing 15,000 – 20,000 workorders per month. In the past they had a team of 30+ people in the back office validating and correcting all debriefed work orders. Based on gut feeling and experience there was a belief that 80% of the work orders did close within a bandwidth of ±5% of expectation. By formalising that bandwidth through trigger points, they now have a tool to filter the volume and start managing by exception.

Timely intervention

Apart from managing your workload on a 80/20 basis, trigger points serve as an early-warning system allowing for timely intervention. You don’t want to pay penalty cost for a missed SLA. Instead, you want a service job to be flagged if its progress jeopardises SLA attainment. E.g., a break-fix job needs to be completed within 4 hours. After 3 hours you could ping the technician to ask if completion is still on track. If not, you could provide the technician with support and/or contact the customer with a heads up.

A trigger point is thus a floor or ceiling boundary on a metric triggering an event. Using workflow, you can route the event to the mitigating personas in your organisation.

Value = Result minus Expectation

Many years ago, the value of trigger points was eloquently explained to me by university professor Meindert Flikkema. He stated that every event has both an expectation and a result. If somebody gets more than expected, then that person is happy … and vice versa.

In the context of running my own service organisation at Bosch I tweaked Meindert’s equation and added the concept of a bandwidth around expectation. Similar to the above example of ±5%, I strived to manage my operations inside the bandwidth. Inside the bandwidth I let the business run on automations. If I managed well, that would account for 80% of my workload. The outliers I routed to my attention queue. Over time trigger points would help me focus on what really matters for both my customers and my CFO. I’ll use the business driver contract profitability to illustrate the value equation and its impact.

Contract profitability in action

Suppose a customer wants to buy a full-service contract with a scope-of-work containing preventive maintenance, capped break-fix events, calibrations, software maintenance and an included set of spare parts and consumables. Using a CPQ-like tool the scope-of-work totals to a calculated cost of $75,000, a calculated revenue of $100,000 and an expected margin of 25%.

Throughout the lifecycle of the contract executed service activities will impact the cost you accrue. If those cost exceed the $75,000 you have either over-delivered or over-run on your calculated cost. Your CFO will see a less-than-expected margin contribution. If your margin is significantly more than the expected 25%, then either you are over-charging or under-delivering. Your customer may get a feeling he/she is not getting value for money. 

Tipping the trigger level should make you curious. Challenge both expectation and result. Do you have a clear understanding of cost-to-serve? Are you taking the life cycle of the product into account? Did the product owner accept your mid-life-upgrade proposal?

Pro-active

As service leader you don’t want to be told about under or over-situations by your CFO when it is too late for corrective intervention. Similarly, you don’t want you customers to churn. Trigger levels act as an early-warning system before you accrue irreversible cost or impact customer expectation negatively.

  • It’s November. Show me all contracts at 80% of calculated cost. Let’s see what service activities we can push out to ‘save’ this years’ margin contribution.
  • It’s July. We anticipated six break-fix events for a full year. We’ve already had four. We want to flag future break-fix service requests to inform the customer service agent and technician to be stricter.
  • It’s September. The year-to-date contract margin spikes at 35%. Upon investigation you find that a contracted and scheduled calibration activity has been cancelled by the customer. Instead of treating this as easy money, you engage with your customer to pre-empt contract renewal conversations.

Managing intelligent

As long as we have unplanned downtime, firefighting will remain an element of a service leaders’ job. Service execution tools are a great help to facilitate the transaction and collect service data. The true value manifests itself when you use transactional data in combination with trigger levels. Trigger levels give you that early-warning to become pro-active instead of reactive. Trigger levels add direction to your decision making. And better decision making makes you more intelligent and more strategic. Not only inside the service domain, but across your organisation.

This article is published in ServiceMax Field Service Digital on July 27th, 2021

Field Service Circle Recap: Accelerating Your Digital Transformation

Digital service transformation does not start and end with implementing innovative technologies. It starts with a vision. Service Leaders rethink how to generate new service revenue streams and ensure long-term success. And at the end, when companies find the right path, customers benefit from the new services tailored to their needs.

During our EMEA Virtual Field Service Circles in 2020, we offered inspiration, expert knowledge and practical experience to those striving for improvement and progress on their digital journey. And it seems that with the change from on-site to virtual sessions we could translate this imperative into its very own form and take the huge number of attendees, who are looking to make a difference, along for the ride.

Inspired by the findings in the Forrester research report we commissioned in 2019, we created our 2020 season of Field Service Circle events. During these sessions, we looked at the three key pillars that are accelerating the pace of digital service transformation as well as future field service strategies. This article will recap each of our four sessions.

Future-Proofing Your Workforce

Recent changes as a result of the global pandemic have drastically changed the way some technicians conduct their work; however, the role of the field technician has been evolving at an increasing pace for a number of years now. What does a happy, versatile, future-proofed workforce look like? Together with Kris Oldland, Chief Editor of Field Service News, Coen Jeukens and Sumair Dutta from our GCT team not only talked about these questions but also discussed the value of field service tools for technicians, the importance of human intelligence, and the move towards a “remote first” model for service. Watch the on-demand recording here.

Keeping Customers at the Forefront

While technology has raised customer expectations, it can also help field service providers meet those expectations. But how well do we understand the expectations of our customer base and how is the customer’s voice a driving force in the service transformation? How will customers see value in new service offerings and how can we future-proof the supply of the same? All of these questions, and more, formed the focus of this session with Rob Merkus, EMEA Service Director at Hitachi Medical Systems, and Jan van Veen, Founder & General Manager at moreMomentum, as we examined the service delivery chain from the customer perspective, the best ways to adapt to evolving customer expectations, and the business opportunities therein. Watch the on-demand recording here.

strategy & vision

Using Asset Data as a Transformation Consultant

Customers expect their assets to work, and service providers want to know where the assets are, in what condition they are, and how they are being used. The focus on digital transformation has placed companies’ attention on harnessing equipment data for insights, exploring new business models, and implementing digital technologies. Sven Gehrmann, Senior Manager of BearingPoint, Thomas Heckmann, Solution Consultant of ServiceMax and Co-Founder of the German Chapter of the Institute of Asset Management, and Coen Jeukens particularly emphasized the message that equipment will become the transformation consultant of the future driving future business value. Watch the on-demand recording here.

3 pillars of digital transformation are your workforce, your customers, and you assets

Field Service Strategies for the Future

Field service management is evolving and adapting to the “new normal” that we must all embrace as a result of the pandemic. According to an IDC survey spotlight by analyst Aly Pinder, Jr., “The service experience can be THE differentiator for manufacturers in a time shrinking margins and heightened customer expectations.”1

Additionally, Susan Tonkin, who leads Analyst Relations at ServiceMax, presented some of the predictions recently published by Gartner, such as “By 2025, proactive (outbound) customer engagement interactions will outnumber reactive (inbound) customer engagement interactions.”2

Together with Professor Shaun West of the University Lucerne, Susan Tonkin and Coen Jeukens discussed Forrester’s three pillars of digital transformation and ServiceMax’s predictions for 2021 based on our CSO Summit series. Among various points, Shaun highlighted that the so-called “smart services” that are data-driven and geared to individual customer needs are gaining importance. Watch the on-demand recording here.

What’s Next?

Digital Service Transformation is no longer a choice but an imperative. Having visibility and control on Assets, Workforce and Customers allows service providers to drive excellence and growth. Technology plays a decisive role in this journey. It has profoundly changed the business landscape and its impact will continue growing as long as more businesses continue adopting technologies that add value to customers’ lives.

The EMEA Field Service Circles presented a fantastic opportunity to stay connected with ServiceMax and industry peers remotely as we all work to keep the world running and understand how to respond to field service changes.

Take the next opportunity to accelerate your digital transformation with Maximize!Click here to register for Maximize 2021, ServiceMax’s Global Field Service Conference on March 16-18, to learn what you can do today to support your business goals and how you can prepare your service team for the challenges of the future.

1. Source: IDC, COVID-19 IMPACT ON IT SPENDING, 09/2020)
2. Source: Gartner, Predicts 2021: CRM Customer Service and Support, 1 December 2020

This article is published in ServiceMax Field Service Digital on February 16th, 2021

The role of service in the Experience Economy

In the Experience Economy, customer service means more than fixing what’s broken. Coen Jeukens of ServiceMax explores what this means for service organizations.

In my native Dutch language, we have an expression “operatie geslaagd, patiënt overladen,” which translates to “surgery successful, patient deceased.” Just because a procedure or process was performed successfully does not necessarily mean it generated a successful outcome. That’s because experience matters.

The ‘Experience Economy’ is a phrase first coined in 1998 in a Harvard Business Review article and later in an eponymous book by consultants Joseph Pine and James Gilmore. It’s based on the premise that businesses must deliberately orchestrate and create memorable encounters for their customers, and that the memory itself becomes the product — or in other words, the ‘experience’. Airlines for example, are not just taking you from A to B on time and at the lowest price, but (hopefully) giving you their distinctive en-route experience.

Valuing the experience in service delivery

The ‘Experience Economy’ states that over time the value of the experience will outweigh the value of the product or service. The implications for service delivery — fixing the product alone — is not enough. You need to ‘fix’ the customer as well.

It’s particularly relevant in service-based industries, because more advanced experience businesses can charge for the value of the ‘transformation’ that an experience offers. But a lot has happened since 1998 and the lines have since blurred. Experience is now intertwined with customer management strategies and more recently the move to outcome-based business models and the rising emphasis on customer success.

To help us measure customer satisfaction, Fred Reichheld introduced the Net Promoter Score (NPS) in 2003. Today you see NPS, CSATCES and CX everywhere. We care about the customer because the product/service itself is moving towards becoming a commodity. To differentiate and assure ourselves of sustainable revenue streams, we need to move upwards. We need to do what customers really care about. This drives many transformation journeys.

From break-fix to knowing what works

For service organizations, this means moving from fixing what breaks to knowing what works.

For example, a global technology solutions vendor had a persistent problem in finding sufficient qualified technicians. As an experiment they started hiring hospitality graduates. Their logic was that with modern tools, it’s easier to teach technical skills to people-oriented employees, than to teach people skills to technology-oriented employees. In other words, you hire for attitude and softer skills, then teach the technical competency. With increasingly vocal customers this experiment not only became a success for the company, it also became the norm.

As industries become increasingly automated we are rethinking the skills our workforce needs. The role of service technicians in delivering positive experiences, human touch, contextual understanding, communication and the slew of softer skills aside from the service or maintenance task, is becoming more important than ever.

As the economy begins to emerge from locked-down restrictions to finding a new level of ‘normal’, customer experience will be the bedrock of service delivery, customer retention and proactive customer management strategies.

Published in Diginomica on July 1st, 2020.