Prevention of Fatalities is Customer Service too

Customer service is more than only answering the telephone, it can be a matter of life and death.

One of the big ‘public secrets’ about railroad safety is the major cause of fatal accidents involving trains. According to a 2013 report of the Safety Unit of the European Railway Agency*, in 2011 there were 4.000 fatalities on railways. However, this number has little to do with the safety of the trains themselves but turns out to be mainly driven by the number of suicides committed with trains: of the aforementioned 4.000 cases, 2.868 were suicides, and 797 ‘unauthorised persons’ , that makes 70% of the fatalities suicides and 20% ‘unauthorised persons’. The bulk of the remainder (pun not intended) is with level crossing fatalities. ‘Real’ train accidents account for only about 2% of all of these fatalities.

There is one trajectory in The Netherlands, from Arnhem to Utrecht, which passes through both “De Hoge Veluwe”, a natural park, and “De Utrechtse Heuvelrug”, an area with plenty of woods and a favorite residential area for the well-to-do. The quietude and beauty of the environment made it a perfect place for the establishment of psychiatric institutions. Not completely coincidentally, this stretch of railways now is known as the ‘suicide track’. Since there is 1 successful train suicide every 2 days in The Netherlands, steering a train has a certain psychological risk but on this stretch it is a particularly mentally strenuous activity. The costs of both these incidents and their anticipation are way more than just the average 2 hour delay, but also the psychological damage to train personnel that has to deal with the results is significant, both from a human and an economic perspective.

Since the physical protection of all train tracks is not feasible, the solution to reduce these statistics, and more importantly their impact on the rest of society, can only be sought in prevention. Where railroad companies can hardly be kept responsible for all these suicides, they are immediately affected by their aftermaths and should consider taking steps to steer this societal phenomenon to improve safety on the rails.

*Intermediate Report on the development of railway safety in the European Union, 15 May 2013, http://www.era.europa.eu/Document-Register/Documents/SPR%202013%20Final%20for%20web.pdf

 (Originally posted on February 8, 2015)

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Safety is part of Customer Service as well

THEFT PREVENTION IN TRAINS

Ever since the introduction of the TGV, the train has come up as a viable alternative to airplanes and cars for travel inside Europe. Now, safety is endangering this viability. His blog will focus on one component of safety: theft.

Background

Since ‘year and day’ some pickpockets specialize in travel. On some international trains the incidence has become such that it starts to affect the image of trains as a safe method of transportation. Amazingly enough, train companies are not taking effective measures at all beyond emitting one of those barely distinguishable announcements that disappear among the other audible clutter of the repetitive announcements about gate changes and delays.

Analysis
Let’s first examine some of the considerations for the pickpockets. There are several modus operandi of these immoral craftsman: the typical pick pocketing in a crowd on a train station does not differ significantly from the same in a busy shopping street. There are is, however, also methods of thievery particular to trains: the thief buys a ticket for a short stretch of an international train – preferably an international train with plenty of valuable luggage – steals something on the stretch and gets off at the next station. Before the traveller realizes he has been robbed, the thief has already de-boarded, making pursuit effectively impossible. One business man from India had his wedding anniversary trip to Europe spoiled that way, loosing significant money in the process.

This method has several disadvantages for the criminal: first of all, he needs to buy a ticket. Even when falsified, it still costs time and is a hassle. More importantly though, the method is an inefficiënt one. He needs to travel from A to B, and during that time he needs to be successful and he has only one chance in that time period.

So an’ improved’ scenario was developed, where our subject boards a train during a stop-over. Cologne is famous for this, since e.g. the ICE from Basel to Amsterdam stops here for 14 minutes. That provides for sufficient opportunity to look for interesting victims but is also an efficient spending of his time, because 15 minutes later he is available again to check out the next train, instead of being kept hostage in hostile territory for half an hour to the next station.

In a perfected variant, an accomplice ‘works the Platform’ . The latter draws the attention of a traveler through the window, while the ‘inside man’ snatches away a suitcase or a laptop. One observed technique is that the accomplice asks for the departure time of the train. The average traveller is willing to help, if not perplexed by the stupidity of the question. Within no time the inside man has disappeared with the booty.

Train company reactions
Personally I have observed how a traveller was in pursuit of another man,who was getting out of the train in Frankfurt, yelling “that is my money!” The person leaving was caught in the exit, and two conductors were present. They refused to intervene, did not call for the police, and the accused thief just left the train claiming he did not have the money. Later I heard that the conductors did not want to delay the departure of the train. The traveller claimed to have lost 300 euro.

In another instance, a ‘gentlemen’ boarded the train in Cologne, apparently speaking into a cell phone, lingering around the first ‘hallway’ part of the compartment. Suddenly, a lady yelled to him, and within 10 seconds he was running down the steps outside. The lady had seen him getting a backpack while another man had been distracting another traveller.

When this story was shared with the train conductor, the response was one of ‘scripted customer service’ referring to the announcement and the impossibility for the train company to protect every train. However, “the signal will be reported to headquarters.” The coffee lady was more honest and indicated that the reports had been sent to ‘Berlin’ numerous times,but nothing happened that she could see.

Countermeasures
There are also other – more fruitful – options for the train company to react:

  • Adjust any (local) police regulations or laws that 3 times presence in a train without a ticket within a certain time period means jail time.
  • In case of the accusation of theft, like in the Frankfurt example above, the conductors hold the accused, transfer him to the police – which have a station at the ‘Hauptbahnhof’ anyway – and take care of the luggage for the accuser who remains back to press charges. Or, in a scenario that is improbable in the current legal environment, take his statement in the moving train and emit it to the police at the point of departure. My prediction is that the average train traveller will gladly accept the consequential delay if it is explained properly.
  • Just as a thief can identify an international train remaining for a longer period in the same place by using the train schedule, so can the police. The latter has an additional aide of the reports of theft. When security personnel are stationed at that time on the platform, they can use several compatible techniques:
    • Use camera’s to monitor the platforms. Anybody running away is identified as suspicious, and pictures of that person are provided to the security personnel. In no time they will know how the suspects look like.
    • Board the train and ask for tickets of those who are not seated yet but hanging around in the aisle
    • Ask the same for persons leaving a train after the first ‘wave’ of passengers deboarding
    • Position security personnel at the steps leaving the platform, and stop anybody running away.

Yes, these countermeasures are not extensive, will not cover all instances and are not the end all. However in such a way the train company picks up it’s societal responsibility, will reduce theft on trains and improve the puplic perception of train safety. And the efficiency of thieves is diminished significantly and we hit them where it hurts them the most: in their pocket.

 (Originally posted February 2, 2014)

Update April 20, 2015: On April 10, 2015, I witnessed that a pickpocket was apprehended after a young woman vehemently hung on his arms preventing him to de-board. Fortunately, conductors waited for the police. The delay was only 10 minutes. Even though I missed my connection, it was well worth it.

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The (in)significance of Customer Service

…drives three successive waves flow through it’s outsourcing.

Introduction

Gordon Moore, one of the founders of Intel, in 1965 made the prediction that every 2 years the capacity of a central processing unit for computers would double. By now it is long forgotten by the average man since these hearts of a computer have achieved stratospheric capabilities since the early days of the start-up in Silicon Valley, however, most industries seem to go along by such generic patterns.

Without any pretension to come even close to the importance in history of Mr. Moore or the accuracy of his prediction, I dare to say that also Customer Service knows such long term trends. In this blog I would like to examine some trends in this industry a little bit closer.

The cost drive

Initially, non-core activities of Western concerns were outsourced for mainly financial reasons: large concerns with high employee cost and often extensive secundary employee compensation packages tried to save costs by outsourcing these tasks to suppliers with significantly lower cost levels. The outsourced activities were seen as non-core, and not significant. This pattern did not only apply to Customer Service-industry, but to all Business Process Outsourcing and manufacturing. Typically, services were outsourced to several suppliers who had to compete – sometimes even on a weekly basis – to get the business. Especially the outbound telemarketing saw examples hereof, since a client could compare conversion rates among suppliers easily. This practice contributed to some of the dubious practices that were deployed by ‘cowboys’ in this business segment. The negotiating power of the purchasers was exploited to the fullest here.

An interesting example of the drive to cut secondary employment costs, and driving it to the top was the initiative from KPN in The Netherlands, which bought a large supplier of call centre services, SNT, and merged it with it’s in-house call centers in a (largely failed) try to get rid of its pension liabilities for the in-house call center staff.

After the simple national outsourcing, the lower costs of developing countries was utilized in ‘offshoring’, and countries like India and The Philippines made great inroads in the Business Process Outsourcing industry. Interestingly enough, it was their colonial history that provided them with the competitive advantage to corner the services market: a large language knowledge inheritance made the difference and enabled e.g. the Philippines to develop a $9 bn industry employing 500,000 people in 2013. In that country, Teleperformance, a large BPO-provider, by itself already employs 20,000 employees.

 

The control drive

After these ‘quick wins’ were realized, it turned out that they might have been fairly ‘quick’, but not always a long term ‘win’. Increasing cost levels in developing countries sent manufacturing scurrying for new, unspoiled areas for manufacturing sites. Unspoiled here means still low cost. In addition, an ever increasing dynamism in the market required shorter lead times, where transportation times and cost from mainly Asia to the Western World became an ever increasing concern. Apparently, the activities were more significant than originally assumed.

Similar forces played in the services industry, although alternatives were more scarce: a conveyor belt can be placed virtually anywhere in the World, but many services are tied to a certain language capability of the staff.

I have once been in a position where a client of mine resisted moving the activity away from the city to the countryside because of the 2 hour ride to reach this new facility. On a larger scale, it turned out that the management of a facility on the other side of the World is quite a different cup of tea from managing the same next door. The reduction of the price advantage combined with the desire for increased control led for significant parts of the market to ‘near-shoring’. The fall of the Iron Curtain also made access to new supplier of cheap labor, and many sites were moved back to Europe again. So far, this is fairly common knowledge, but it sets the stage for the third trend that is now coming up in the Customer Service-segment of BPO.

 

The quality drive

Although control often can not be translated into the bottomline directly, the need for control did pave the way for further insights: more and more concerns are realizing that immediately identifiable costs are not everything. I have seen many change or investment proposals in customer service with unrealistic returns on investment in their Business Cases. It is very easy to calculate the savings of sending a bunch of temporaries home, much more difficult to calculate the costs of scurrying to replace them when volumes pick up unexpectedly, let alone the reputational cost of the resulting long waiting queues. Everybody knows of companies in their own market that got into ‘rough weather’ because the Customer Service Department could not handle the orders for new products, resulting into backlogs for new customers, double work for installation engineers and – lo and behold – evaporating earnings.

In several industries the cost of Customer Service is only 2-3% of revenues, when that business process experiences production or quality issues, it endangers the whole value chain. In costs, Customer Service might be not significant, but in profit impact it often is. Therefore, several parties are realizing that extreme cost cutting on this activity may look good for theoretical ‘quick wins’, but loses out on durability – and here I use the word without any environmental meaning.

Whether this will mean a trend towards theoretical overstaffing, ‘insourcing’ in it’s various forms, or more to local outsourcing depends on case-specific argumentation and I would not feel comfortable to provide a generic answer. There are also plenty of off-shoring arrangements that do provide the quality that is required. However, it has become clear to the more sophisticated parties that the extreme penny-pinching of the budget in this activity – regardless of inhouse or outhouse constructions – may be ‘pennywise but poundfoolish’.

(Originally posted on January 8, 2014)

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Constructive criticism is a gift

Let’s not waste it.

Feedback
Giving feedback is easy, you just indicate what you think about it. Droves of people do nothing but exactly that on Twitter or fora, revelling in self-expression and self-importance expressing the injustice that has happened to them. Some people even blog about it occasionally – like yours truly. Often under the veil of ‘saving the world’ and improving customer service. However, it can not be denied that the possibility to vent one’s frustration has a little bit to do with that as well, although I realize I can only speak for myself here, of course.

An alternative
As the subject of criticism, either as a producer of a product or service – or even worse, if the topic is myself – of course I would prefer compliments over criticism. However, what really helps me develop myself or my product is constructive criticism. And that is the offer of an alternative: when I have a visitor in my house, it does not help me if she tells me that she likes my living room (or not). However, if she indicates “if you would move that plant to the right, you would get more sunlight entering the room” that is an alternative that I can consider and reject or accept. Constructive criticism is an alternative

A gift
Such an alternative is also much more difficult to give, because you need to think about it, so it requires effort and attention. It were much easier to offer either immediate rejection of my living room (“If it comes from him it must be horrible”), sometimes called prejudice, or utter idolization as the opposite extreme. Apparently the guest has spent time, effort and attention on me or my product. Constructive criticism is a gift, and a gift is only given to people one thinks worthy of that gift.

A valuable
So if somebody takes the effort to think about an alternative for a part of your ‘product’ that in effect is an investment in the relationship. I would not take the time to offer to just anybody, if I am to think something through I would limit such efforts to only those that I find worthy of my investment in time. Complaints without an effort to get a rebate or an exchange are perfect examples of such gifts (see also my blog “I want your complaint” about the pragmatic benefits of complaints. Other examples are suggestions for product features (let alone that you can build a whole business concept around it like Lego). Therefore, one should cherish critical customer feedback and product suggestions.

A return obligation
If somebody invests in our relationship by suggesting an alternative for my living room, the worst thing I can do is to just ignore it, that would be indicating I consider her suggestion irrelevant for my consideration. If she finds our relationship worth the effort of constructive criticism, I should at least give feedback what I have done with the suggestion or what I am (not) going to do. The same thing applies to customer product suggestions and customer constructive criticism. I can give a large set of examples where the people or organizations apparently are just uncomfortable with the idea of constructive feedback or too badly organized to take advantage of it. I will not get into details since that would bring us into a situation with nothing but me venting my emotions…
So we should not give all feedback the same attention, but constructive criticism always should get a substantive response, regardless how difficult that sometimes might be.

(Originally published December 18, 2013)

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The IDA-ly cycle

There is one structure underlying such diverse subjects as regular problem analyses, court decisions, the RACI-matrix in project management, and meeting minutes. An understanding of this phenomenon, the DAI-ly cycle, helps understanding the essence of many of these tasks. For a proper understanding, let’s start with a more widely known concept helpful in understanding that DAI-ly cycle.

RACI-matrix

Most project managers will be familiar with the RACI-matrix and can go straight to the next paragraph. Below a short description of this model that is universally used in project management (with various different flavors, like RASCI, RASIC, RACI-VS and others).

Whereas an organization chart shows the division of responsibilities and who will communicate on which subject in a group of people, this matrix shows responsibilities divided up one level more specific. The following overview is based on Wikipedia:

Responsible

Those who do the work to achieve the task.

Accountable (also approver or final approving authority)

The one ultimately answerable for the correct and thorough completion of the deliverable or task, and the one who delegates the work to those responsible.

Consulted (sometimes counsel)

Those whose opinions are sought, typically subject matter experts

Informed

Those who are kept up-to-date on progress.

Problem analysis

When faced with a particular problem, a typical structure that can be used – and of which I am a ‘FAN’- would be:

  1. Fact assembly (sometimes known as ‘Observations’ including information gathered from those in RACI-terms ‘Consulted’)
  2. Analysis (or the decision-making process by the Accountable person)
  3. Next Steps (or the actions to be undertaken by the Responsible persons, which might include the provision of Information to third parties)

For better or worse, this structure is also seen in decisions made by courts of justice. Regardless of whether these are overturned by higher courts or not, at least they provide a basic structure that facilitates the understanding of their content.

Meeting minutes

In the past, meeting minutes were kep verbatim, often in a format ‘Mr. Smith mentioned that …’ Maybe useful in a very legal environment, nice for ego-building but requiring special skills like steno and very time-consuming (not only the production, but also the agreement in the next meeting where valuable time was spent on properly rephrasing what had been said the previous time).

These days, most business meetings have a format where information is shared, upon which decisions are made and actions planned. A useful structure for meeting minutes would be:

Information|    Information brought into the meeting (I in RACI)

Decision|          A decision made inside the meeting (C and A in RACI)

Action|              Information or Actions flowing out of the meeting (R in RACI)

The careful reader will again see here the Information obtained from those Consulted, a Decision made by the person Accountable, and Actions or Information flowing from the Responsible party to those that need to be Informed. The Actions planned or completed and the Information thereof then sparks off a new cycle.

IDA-ly cycle

The cycle of Information-Decision-Action corresponds to a more philosophical, for some maybe even biblical one of Thought-Word-Matter, but carries the disadvantage with it that Information is communicated at various times and in a multiplicity of places. The same thing applies to Actions, where one Action can be divided up into many sub-Actions and followed up by as many others. What really drives and provides a summary of progress (let’s call it the ‘critical path’) is not the distribution of Information or the execution of Actions, but it is the timing of Decisions. This view is also seen in project management, where deliverables (at the level of Actions) can be plenty, but the most crucial components of a project planning are still the milestones (Decisions).

Similarly, one can also apply the IDA-cycle to customer Decisions: the market has been stimulated by all kinds of Information, from advertising to Public Relation publicatons to word-of-mouth. Still, any commercial response is driven by the Decision of the customer, be it that she decides to obtain further Information to make a purchasing decision, or that she makes that Decision and places an order(a pure Áction).

Some might argue that only Actions like purchases can be measured properly (“How do you measure multiple questions in one call?”), however, in Customer Service we are faced with several customer interactions, both the Actions of purchases and the Information requests before and after the purchasing Decision. It is the field of Customer Service to deal with both, whichever the Decision of the customer.

 (Originally published October 21, 2013, edited for clarity March 8, 2024)

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Theory of Abundance

The topic of abundance (= plenty, affluence, but also overgrowth, or having more than you need) is a topic that came up as ‘interesting’ a couple of years ago, in a period in my life where the focus was more on the ‘need’ than on the ‘having’. Since then, it amazed me in how prevalent the concept popped up in life. Extreme variety of choices is leading to overkill in society. Where at first glance the word ‘abundance’ may have been loaded with all kinds of positive connotations, at closer examination it turns out to be a mixed bag.

Below I will first apply abundance to customer service, where it helped me explain both some parts of personal efficiency, the demise of Microsoft vs. Apple, the changing business cases in the printer industry, customer choices in general, and the choices Google faces, just like Facebook, Twitter and LinkedIn.

Customer Service

Personal effectiveness

The most common way that most people are confronted with abundance is through spam, where through unselectiveness of a sender one’s mailbox is crammed with junk. The first lesson I learned in a personal efficiency training was to prevent spam: not just by having a spam filter, but also by stopping subscriptions to newsletters I did not read anyway, informing certain ‘relationships’ that this one-way street thinking was not appreciated at all and others that more consideration on their side on what to send wóuld be. After going through several steps, we ended the course with ensuring that we were pro-actively informed about topics we were interested in instead.

After a while it struck me that this way we were creating the spam of tomorrow: a change in interest would make the information from today the spam of tomorrow. In short, the ‘filter’ (in whichever way) needs to be kept updated. And that is exactly where I see several companies or industries making mistakes.

This also changes the concept of customer service: it is not providing as many kinds of (‘abundant’) services to the customer as possible, but a continuously updated filter to ensure the provision of the right (set of) services. I will leave aside the discussion whether the proper term would be ‘Marketing’, or ‘Sales’. I am talking about the interaction (‘Service’) with an ultimately paying party (‘Customer’).

Example 1:Microsoft

In a similar way, this concept of abundance explains the demise of the market position of Microsoft. When I started my career in Customer Service the battle between Microsoft and Novell was just starting, Bill Gates had just launched his book ‘Business is War’ and WordPerfect was swiped of the face of the earth by MS-Word. Apply was staunchly hanging on to a market share which at a point tumbled below 10%, defending it’s niche but hanging on the edge by it’s fingernails.

Twenty years later we see that the once almighty Microsoft has not made any increase in total stock worth for about 10 years and has been overtaken by Apple in that all-powerful net stock worth measurement. What happened?

Although there are undoubtedly multiple explanations that can be given, each with various reasons and supporting evidence, I would like to focus on the importance of the GUI. This abbreviation of Graphical User Interface only became meaningful to me when I lived in San Francisco about 25 years ago, and my new neighbor turned out to be a free lance GUI-designer working for Apple. My intuitive appreciation for the importance of the GUI was far outshone by the zeal with which my new friend fired away on the intricacies of GUI-design.

Next to the ‘look and feel’ of a GUI (which is a separate, more specialized topic than will be dealt with here) one can see a GUI as the filter on the abundance of functionalities available. Of prime importance is the selection of primary functionalities that is shown on the first screen, of secondary importance is their specific position or ‘the way towards’ the secondary functionalities. Not only is the original (logical or intuitive) positioning relevant, but also the consistency of this positioning in time/versions (ideally also based on similar logic or intuiton). Apple focused on GUI and ultimately excelled in the field by turning Apple-interfaces into a Unique Buying Point.

On the other hand, Microsoft purposefully switched GUI’s with every new release of Windows and Office. Who has not suffered the fate of the frustrated office worker (no pun intended) where she was frantically looking for the location of this particular menu-choice within the new release? Every release, Microsoft confused its customers: by pure market-power it forced us to buy new releases and new training programs since the GUI ‘had been improved’. Which new features were really added in the latest few releases of MS Office? Yes, there are a few, but most of us would have been quite content with skipping an upgrade and working with the older version a few years longer rather than eating the Microsoft ‘foie gras’ force-fed by the IT-department (pun intended). There we also saw the first cracks in the Microsoft hegemony: more and more customers were foregoing upgrades and working with older versions, skipping one upgrade until they were forced to take a next one.

This “War on the customer” was driven by short term financial objectives set in by one of the biggest philanthropists of our time, but not with the interest of the customer in mind. For me it is a ‘great’ example where customer service (by the way, which customer has the telephone number of the Microsoft Customer Service Department?) neglect led not to the demise of a company but to the demise of a reputation and a market position.

Abundance showed its ugly head when the features of the products were so manifold that nobody was interested in them any more. It became a real problem when through the changes in GUI’s users could not find specific functionalities at all. With the benefit of hindsight, I would dare to say that had the users had a chance to keep their GUI of a previous version, Microsoft would have had a better chance of defending it’s market position.

Ultimately there came even an abundance of product versions, which made even any new product launch superfluous.

Example 2:HP Printers

In earlier days I would buy an HP printer because of it’s quality and reliability. To ensure my guaranteed maintenance I would buy HP ink cartridges, even at a higher price.

In the course of time, the business model for printers developed such that printers themselves were put in the market at bargain prices to obtain a large installed base, after which a provider would make it’s money by selling the ink cartridges – with a significantly higher profit margin than the printer itself, of course.

At the same time, the service to printers was reduced and I remember talking to a Service Engineer telling me that it would cost more to repair my printer than to buy a new one. This general consideration made printers ‘abundant’ and significantly reduced my brand loyalty.

The next and for the time being final step was the entrance of abundant ink suppliers into the market, taking advantage of the already installed base of printers of the larger brands and selling their products as straight copies with the exact numbers of A-brands indicated on their packages. The main reason for not switching to these brands would be the idea that these ‘non-original’ inks would be of an inferior quality or that the maintenance on the printer would be compromised. However, since the printers are supplied at bargain basement prices anyway, this reason for the consumer carries no more weight, I would just buy a new one. Even an explosion in different versions of printers could not help the original vendors in confusing competition or the market, a simple numbering system of ink cartridges introduced by themselves also guides the competition.

This market development is growing to the extent that I wonder whether ‘original vendors’ will be ultimately selling any ink at all. By the way, when will an ‘original vendor’ start selling ink for competitors’ machines?

Example 3: Model numbers in general

Even though the number of different products at Apple is increasing as well, compared to other providers it is an amazingly small product portfolio. Take a look at vacuum cleaners, washing machines, telephone sets, printers or any other electronic device, and often it is virtually impossible to keep track of all the versions on the market. Several (copycat) ink providers already indicate that the total number of product versions on their packaging might not be complete. In their rush to segmentation, marketeers have sliced usage up to the extent that the extreme number of choices available is holding customers back in making that choice.

Several retailers have made deals with electronics producers that certain models are produced in two versions: one for the general market and one for them specifically, the only difference being the type number. This way they can claim a lowest price guarantee at no risk: customers confronting a sales person with a lower price for a model B119 elsewhere would be left empty-handed argumentationwise because the retailer carries model B120 instead. That this model has seemingly identical features is just a coincidence, in it’s furthest developed form the B120 would get a new useless feature not in any other model. That would make the claim of ‘lowest price’ at least misleading, as it might be more accurate to state ‘only for sale here’. It will be interesting to watch how long such practices will stand.

Example 4: Google

Thirty years ago, the Yellow Pages were a no-brainer for certain advertising expenditures: it was the dominant search method for finding businesses of various sorts by customers. That the main usage of this product now seems to be as a reference for rip-offs used by scammers to mislead naive advertisers is telling. Some attributed this decline in market position to a change in channels, and that the Yellow Pages were not fast enough to change to the electronic form. I wonder whether that is the whole story: there were electronic forms of the Yellow Pages as well. There was however one main reason why I personally quit using the product, which was that their results were dead wrong! The filters were adjusted so that non-matching-but-paying-advertisers were shown more prominently than matching non-paying advertisers. When looking for a furniture store in Amsterdam one was given a furniture store in Brussels “also delivering in Amsterdam”. The value of the product delivered to the customer was compromised under the pressure of the business model.

We now see the same thing happening with Google. The original search engine would bring up the best match, and a lot of corporate folklore is built on this phenomenon. However, in the course of time and under the financial pressure of the business model, more and more room has been taken up by sponsored results. One example is that in a filter (=’customer service’) with cookies-based information, search results and advertisements are ‘personalized’. There is only one major drawback of this system, which is the effect of advertisers buying space in those filters. Yes, this can be mitigated by having the click-through rate have an effect on whether the advertisement is being shown to the next customers, but it all starts with them being shown to start with.

Here I will leave alone the factor that one can de-activate cookies, since I am not interested in the legal situation that one can avoid it My main interest is in mainstream, the general case. In addition I will not even go into the ever decreasing difference between advertisements and actual search results, which also undermines the authority/reputation of the search engine.

In short, Google runs the risk of sharing the fate of the Yellow Pages: have commercial interests compromise the integrity of the filter that provides the right results to the customer. If this process is not managed properly, neglected customer service will claim it’s next victim.

Example 5: social media like Facebook, Twitter and LinkedIn

In the early days of social media one’s standing would be determined by the number of followers. Ultimately, this drive led to promiscuity in contacts that would make Casanova proud. This development led to slightly more sophisticated measurements like Klout and Kred. As I have proven before, ( How to gain 800+ followers (+29 Klout) in 5 days) these scores can be – at least partially – bought. Elsewhere has been shown that some extreme number of (mostly deadbeat) followers for some celebrity accounts result from these accounts being suggested to follow to new subscribers.

Another weird fact inn my personal situation is that my Klout score was somewhere in the low 20’s just before a period of inactiveness on social media, when this busy period IRL had ended, my score turned out to be 49, from which it has not moved since, despite a significant increase in activity.

The number of contacts one can follow depends upon various elements, both the activity of those followed, as the time the person spends on following and interaction herself. I dare to say that following more than 1,000 Twitter accounts is limited to those that seem to focus on sending(!) whereas in LinkedIn the number of contacts one can sustainably maintain might be significantly higher.

However, the real abundance in social media is not created by the number of contacts, but by the number and sort of interactions. Where some people might share their whole personal life on social media, the number of updates becomes impossible to follow, especially when automated updates are generated: Foursquare tells your followers where you are, Runtastic tells them how many km you have run and in which time, fllwrs.com informs them on how many contacts (un)followed you in the previous period and more of these ‘items of high interest’. The words of a few parties battling this (see my second blog, in Dutch) were falling on deaf ears.

Social media themselves have not understood this theme of abundance either. Most of them have artificially inflated their user base by avoiding to kick out inactive users (although Facebook now reports ‘active users’ which is at least a transparent and fairly stable definition) in a hypothetical race to be the largest social network, or maybe even more, to show the largest increase in users for their Venture Capitalists, or just for the plain ego-caressing of the Board.

The big danger of this all is that through the abundance of users, contacts or messages, the average value of each of them approaches null. When users have to make decisions on who to follow, a likely ‘unfollow’ will be the fate of those only communicating the agrandizements of their own ego. Or maybe that will be the ultimate kick: “I still have all these followers, despite these automated updates.”

Conclusion

One of the results of today’s affluence – regardless of a crisis left or right – is an incredible choice in products and services that are offered to the customer. This abundance in choices makes it necessary for customer service professionals to help the customer filter the appropriate products for her needs. With this ever increasing abundance, the degree of success in this filter-field will become increasingly important in the battle fields of business. There, Customer Service will determine the difference between ‘abundance’ and overkill.

(Originally published October 10, 2013)

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Determine a budget easily

Where most people shriek away from ‘difficult Erlang C’-methods to determine the needed staff for customer service, find below a way to do it on the back of a napkin.

Background

The creation of a budget follows several necessary steps in a particular order, which I call the ‘budget chain’. Please find below a depiction of how one starts with the Average Handling Time to combine it with the number of transactions to get to the Total Handling Time (or Productive Time), and so on up to a complete budget:

AHT x #transactions => Productive Time

+ Available + shrinkage => logtime

+ overhead hours = >total paid hours

x average salary level => total labor cost

+ overhead charges => total cost

(+ profit margin = >sales price)

As a famous Dutch soccer player once said: “You will only see it when you understand it”, and I expect that the chain above might help several to understand the process. Most experienced Customer Service commercials have certain percentages in their head of how to get from one to the other, and in my previous blog I covered the relationship between the Total Handling Time and the Paid Hours. Below I will show an easy way of calculating’what some consider to be the most difficult component in that relationship: the determination of the Ávailable Time.

Determination

The very first question of a manager when confronted with a new service should be about what kind of transaction the agents need to perform, the kind of background and training is necessary, and the average length of such a transaction. The qualitative elements focus on the (background and education of) people to recruit, which I will leave aside here, the quantitative one about the Average Handling Time is the only one relevant here.

The second question one might expect is about how many transaction per time period we are talking. With these 2 components we can determine the Total Handling Time that is required to provide the service. So far so good.

Together with the answer to the third question about the required Service Level, one can now calculate the required workforce. And this is exactly where most people in the business I have met ‘log off’. Many are afraid of extremely intelligent calculations based on incomprehensible Erlang C formula’s. To what extent these predispositions are fed by providers of services in this area I do not know, but these assumptions are definitely unfounded.

Front Office example

Let’s take an example of a standard customer service for Product A, where customer contact the organization for general questions, which require an Average Handting Time of 180 seconds, so 3 minutes. I presume none of my readers is so ‘out of it’ that she will conclude that therefore the agent can handle 20 calls per hour, so the next step becomes the determination of the number of agents required, given the Service Level desired and the volume of calls per hour. Let’s say that the Service Level is determined to be 80/20, which means that 80% of the calls need to be answered within 20 seconds. This Service Level – conbined with the volume of calls – determines the ‘inefficiencies’ of the waiting queue, so the required ‘available time’.

For the calculations below I used the Erlang C-calculator from Prof. Dr. Ger Koole of the Amsterdam Free University (VU) at http://gerkoole.com/CCO/. This calculator nicely shows how many people are required in relationship to the volume of calls per hour.

Service level 80/20
AHT 3 min
min/hour 60 min
calls/hr agents THT (min) Log hours Occupation Available
200 14 600 840 71% 29%
150 11 450 660 68% 32%
100 8 300 480 63% 37%
75 6 225 360 63% 37%
50 5 150 300 50% 50%
30 4 90 240 38% 62%

Note: AHT= Average Handling Time

THT=Total Handling Time

Occupation = THT/(THT+Total Available Time)

Shrinkage = 0 (unrealistic but to keep the calculation simple)

The crucial number is the one in the ‘Occupation’ column, which indicates which percentage of the used hours is really applied to Productive Time. For ease of use I sidestep for now several complications, like e.g. the discussion about shrinkage, the fact that volumes are not equally divided over the day/week/month/year, and the efficiencies if agents can answer multiple workgroups, e.g. like e-mails. Also, please note about which hours we are talking here. (“apples, pears or oranges…”)

In short, one can take the Total Handling Time required, divide it by the estimated THT/log hours from the table above, to get to the log hours required. Using the numbers for the previous blog “apples, pears and oranges…” one would then take 15% shrinkage, so the log hours in the table are multiplied by 1/1.15.

Depending upon once overhead assumptions, the budget then follows handily.

Back Office

Often, it is supposed that a non-call department would not have any available time at all. Unfortunately, that is usually not the case. Below an example using the same calculator for a Service Level of 90% answered within 12 hours, with a 10 minute AHT. This example shows that the need for Ávailable Time in e-mail is very much dependent upon the variables like (Service Level and) volume. In case a supplier does not take into account the 17% Available for that small workgroup and this does not get funded, we here have the basis for an ever growing backlog which will lead to more follow-up telephone calls and e-mails and thus a devil’s circle of ever growing work.

Service level 90/12 uur
AHT 10 min
min/hour 60 min
mail/hr agents THT minutes Log minutes Occupation
200 34 2000 2040 98%
150 26 1500 1560 96%
100 17 1000 1020 98%
75 13 750 780 96%
50 9 500 540 93%
30 6 300 360 83%

Back Office activities have some peculiar challenges of their own: very often breaks are not registered properly (“Oh, sorry, I forgot to log”) and a functional check with a colleague often has an ‘interpersonal component’ there as well. It is not uncommon for agents to prefer to work on e-mail, after which they become unmanageable to go back to the phone. Therefore, it requires a special skill for a manager to deal with these challenges in the long run. Mathematically, though, it goes exactly the same as with the Front Office.

Interestingly enough, social media typically require very fast response times. This means that the Service Levels of these services closely resemble the ones on calls. Combined with the very low number of volumes that are common these years make the Occupation levels so low that these jobs need to be staffed similarly to ‘standard’ office workers. As such, these jobs then provide great growth paths to other administrative kinds of jobs.

Next blog, I will expand on the Overhead Charges, where many a customer service organization goes awry in my opinion

(Originally published September 12, 2013)

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Apples, pears and oranges: how hours differ

One of THE all time favorites of my blogs is the one about the different kinds of hours referred to in customer service. There were only two minor imperfections to this blog: first it needed some updating, especially inclusion of a reference to the relevant COPC definitions. Second, it was in Dutch.

One of my motto’s is “Creativity is the capacity to solve one challenge with the other.” So guess what I am going to do below.

Financial Background

In the ‘Wonderful World of customer service’ I regularly meet people who try to simplify a cost discussion into simple facts. Sometimes that is also necessary to be able and compare apples to apples. One of those ‘plain pancakes’ (to mix metaphores) is the comparison of ‘cost per hour’. Often this measurement is used by Purchasing Departments, just doing their jobs, and a purchaser with any smarts – or an in-house Controller – will use the measurement as well. One that I have heard multiple times, only varying in the AHT used goes like this: “The AHT for this transaction is 6 minutes, so an agent does 10 transactions per hour.”

Unfortunately, I have not met many parties who could answer my question “Which kind of hours do you really mean?”, let alone comprehensively. Once, we even had to adjust a complete quotation because the wrong numbers had been used by my own Sales Department. Therefore, a short explanation of some of the intricacies follows below. Nothing of this is really innovative or new, except to the uninitiated. To support various arguments, I will use some figures from a previous assignment I did, where my successor made national ‘Contact Center Manager of the Year”, so these numbers could not have been too out of sync. On purpose, I introduced one error to ensure everybody still has to look at her own situation rather than just mindlessly copying these.

Financial Departments are, of course, mainly interested in paid hours and their costs. That the costs of permanently contracted employees and temporaries seem so far apart is not only due to the margin of the temporaries agency, but also by the fact that illness (sometimes education) and vacation need to be covered. In the margin of the bureau itself a budget for recruitment needs to be covered, just as generally deeper down a risk assessment for quick downscaling is maintained. When deciding about the right mix between temporaries and contracted, these are significant amounts and factors to keep in mind.

Interestingly, the net hours of a contracted employee in the case below is about 78% which would roughly equate to the paid hours of temporaries. With a factor of +33 on salaries for a temporary agency this would make a temporary about as expensive as a permanent employee, which would only keep flexibility and cost of attrition as factors deciding on the ratio between these 2 categories of employees. However, that margin for the temporary agency generally is a little bit higher.

Operational execution

For an in-house operational manager, often the log-hours are the starting point of analysis, since that is where most registration and her felt sphere of influence starts. Here I would like to broaden the scope a little bit. First of all, the illness ratio might often be the result of policies in the past, but the illness ratio in the future is determined by the policies of today. Second, depending upon her responsibilities, the ratio between temporaries and contracted employees should be part of her considerations as well.

Then, in our example you will see some operational requirements translated into their effects on efficiency.

Factor Unit Number Hours
Paid hours weeks @ 40 hours 52        2.080
Holidays days 7              56
Vacation days 25            200
Illness percentage 6%            125
Education & Training weeks 2              80
Workers’Council 50% of 3 employees per 100 1,5%              31
Support-hours 50% of 6 Subject Matter Experts 3%              62
Sum Overhead . .            554
Net Hours . .        1.526
Lunch break since logged in for lunch break 6%              95
Log hours . .        1.623
. From here @ from log hours . .
Coffee and tea break 2 x 15 min per day 6%              95
Lunch break half an hour per day, logged 6%              95
QM, team meetings one hour per week 3%              50
Available (‘idle’ ) depending upon volume and schedule 12%            195
Total shrinkage of log hours 27%            436
.
Total Handling Time (THT) Productive Time .        1.187

The overview above is interpreted and used by different parties in slightly different ways, and often there are lengthy discussions about whether agents should log in for breaks or not. In the end, it does not matter, as long as all parties know which numbers are being used.

These numbers then provide the basis for the overview below, which shows that one log hour of an(y) agent generates 28% (16/57) more Productive Time than a paid hour of a contract agent. In this business, an error of 28% is higher than the EBIT most providers are making…

Factor Contract Temporary Log hour
Paid hours 100%  
(2.080)
Holidays 2,7%
Vacation 9,6%
Illness 6,0%
Education & Training 3,8% 100,0%
Workers’Council 1,5%      (1.588)
Support-hours 3,0% 3,9%
Sum Overhead 27% 3,9%
Net Hours 73% 96%
Lunch break 4,6% 6,0%
Log hours 78% 102,2% 100%
   (1.623)
Coffee and tea break 4,6% 6,0% 5,9%
Lunch break 4,6% 6,0% 5,9%
QM, team meetings 2,4% 3,1% 3,1%
Available (‘idle’ ) 9,4% 12,3% 12,0%
Total shrinkage 21% 27,4% 26,8%
.
Total Handling Time (THT) 57% 75% 73%

Standardization

One way to standardize an approach is COPC. Their definitions focus on the essential relationships between numbers. In this discussion (which is only a very small part of the overal concept) COPC focuses on two essential ratio’s: Utilization and Occupation. The first focuses what percentage of time agents are available for work, in short, how much of their time are they utilized, so (Total Handling Time+Total Available)/Total Paid Time. All other time agents loose (or more accurately the employer loses) to vacation, illnes and generic company tasks like Workers Councils and the like.

The part of the Utilization agents are actively used to produce services for customers is something’s they can not influence themselves (at least not in we’ll-managed organizations like the reader’s).This Occupancy depends on how much ‘breathing room’ they are given in between transactions compared to the time they are actively utilized, to allow them to provide the Service Level that is required by the client. In formula’s this is: Total Productive Time* / (Total Productive Time + Total Available Time). Below these concepts applied to the case above.

COPC Factor Contract Temporary
Utilization 66% 87%
Occupation 86% 86%
Productivity 57% 75%

The alert reader wil have noticed that the product of these two ratio’s Utilization and Occupation , which COPC names ‘Productivity’ is exactly the ratio of Total Handling Time divided by the Total Paid Time. In the end, that is the simplest, most straightforward quantification of efficiency: how much of the time the employer has paid for is transformed into real ‘interaction time’. The table above shows that the productivity per paid hour for a temporary agent is 18% higher than for an employee on a fixed contract.

Many other elements are not taken into consideration: how efficient these Handling Times are being used, just like the quality of the interaction, but those are different topics.

Another quantitative step further would be to translate these times again into costs and revenues, to also properly compare the usage of temporaries versus contract employees, and the efficiency among projects, but that I will leave to the Financial Departments, where this topic all started.

*Please note that in COPC terms ‘Productive Time’ is used as what most people describe as ‘Total Handling Time’, so excluding Available Time. Not everybody uses these terms in this way, so I prefer to use the unambiguous Total Handling Time.

(Originally published on September 12, 2013)

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Service Specifications

In the past I have written about the hierarchy of documents in  https://peteralderliesten.com/2015/05/05/the-hierarchy-of-documents-in-business-process-outsourcing/  and that Service Specifications are a document that is highly undervalued by some. For some others, this is the most important document in the BPO-chain, since it communicates from the ‘Control’ center to ‘Operations’ exactly what needs to be performed. (Similar how the Training Documents and the Work Instructions might be the most important documents in Operations since it communicates to the Support Functions how they should do theirs.)

Roles & Responsibilities, and Communication Lines (‘Customer’)

The first and foremost document in the Service Specification is the ‘Roles & Responsibilities’-overview. This is not (just) the organization chart. A RACI-table might be more like it. This document defines who may decide on topics. A closely associated document – sometimes integrated – is the overview of the Communication Lines – or who communicates with whom – on what topic. The simplest way of creating such an overview is to start with a list of topics that need to be addressed on a regular basis. Per topic a forum (meeting/’gremium’) is defined, and soon one will see the pattern that e.g. all operational topics are to be discussed in an Operational Jour Fixe, and all commercial ones in a Commercial Jour Fixe. The various topics that have been thought off are then a great basis for the initial ‘standard’ agenda. Important in that respect is that also in such a set-up certain topics can be declared ‘off-limits’ to ensure the scope of the meeting is held. In that context, the setting of a price for a service might be deemed inappropriate for the Operational Jour Fixe, since it has te be decided in the Commercial Jour Fixe.

In larger constellations, it makes sense not to mention names of individuals but roles or functions. For instance, when all Country Representatives ought to speak to their respective National Account Manager, I usually make an overview of the roles that communicate with one another with then a separate listing of the Country Representatives and National Account Managers per country. Such an overview is also much easier to maintain…

If one wants to make the ‘Roles & Responsibilities’-overview very nice, it also includes a description of the tasks and the responsibilities of each role. (This overview could then be the basis for the job descriptions, which are not necessarily if not to say ‘usually not’ the same. In addition, this ‘Roles & Responsibilities’ usually defines the interaction of the roles around it: contact person at the clients’, Operations Manager, Key Account Manager etc., usually less the exact definition of what the operators perform, which is covered more by the Processes and Procedures)

Change Request Procedure (‘’Product)

Once people know their roles, one can start and define their actions (or ‘Operations’). Since the highest activity in the ‘Operations’-sphere is the ‘Products List’ or ‘Services List’ the Service Specification should define both a starting ‘Products List’ and a way of addressing changes to this document, the so called ‘Change Request-Procedure’. Whenever people hear a term like that, there is a large chance they roll their eyes in disgust, recalling some horrible administrative maze. This procedure usually is. When taking into account all aspects that might be relevant, forms to describe Change Requests are known to be ‘monsters’, the alternative being changes being implemented and retracted halfway because of some kind of oversight. Or worse, to be adjusted erroneously again…

Since in a formal sense Change Requests do not only cover changes in Products, but also in Processes and Procedures, one also – and easily – goes overboard. All kinds of minor changes will occur in processes or procedures all the time: the names of contact persons will change, e-mail addresses, telephone numbers to call etc. One could busy oneself with administering all of these changes with full-blown Change Requests. On the other hand, one also could define larger ones as ‘Process Adjustments’, with effects on the AHT or Training, and minor adjustments as ‘Procedure Adjustments’, which have no major effect on Average Handling Times, Service Level, or Training, and thus on prices or budget. There should be a quick acceptance check by the BPO-provider, but then it should be ‘just implemented’, preferably into the professionally designed Knowledge DataBase, of course.

Forecast Procedure (‘Product’)

The third most important component in the Service Specification, and ‘only’ in the realm of Products, is the Forecast Procedure. Where the (production of) the individual Forecast is part of ‘Product’, the process that controls the creation of the Forecast is an essential part of the Service Specification itself.

Where inhouse contact centers often see Average Handling Times as part of the Processes, in BPO the AHT’s often are part of the Price List in Products. There are 2 reasons for this:

  1. as soon as definitive AHT’s have been agreed upon, the number of transactions performed or the contractual Total Handling Time often is the basis of the invoice rather than the actual number of FTE deployed. Usually, a provider obtain a a certain volume guarantee, to exclude the possibility that the outsourcer just voids the contract by shifting volumes away and to minimize the provider’s risks on the investments made when taking over a service. If not, this lack could result in a significant extra cost factor the provider charges to the client. This volume guarantee often is given on the basis of contractual Total Handling Time rather than on number of transactions to allow for flexibility on the outsourcer’s side.

2. in the currently quickly evolving world, there is little use of sticking rigidly to numbers of transactions. Crucial is the total workload that needs to be performed, since that is going to be the basis for the planning later on, which by itself determines the expected cost level.

Here I want to make a distinction between the Forecast, which predicts the number of transactions and their AHT’s that are predicted (the Total Handling Time, or ‘demand side’) and the number of people that are required to process these transactions, (the Planning the ‘supply side’). The latter will be covered in the section on People.

Crucial to making a proper Forecast are both a. an accurate data structure which allows for a proper measurement of historic data, the quantitative basis, and b. a qualitative view on how the future is going to look like.

a. For an accurate data structure, several hindrance are very common. When parties have not properly implemented the registration of multiple transactions per call or e-mail, no useable relationship between reason codes and volumes are possible to distinguish. In addition, when in one site transactions are registered as one and in the other as three components, no transparency of data can be achieved. It is not uncommon when implementing a new service that suddenly new tasks appear, that have been done in the background, totally undocumented, but on automatic pilot by people who have been doing the same job for years.

b. A professional outsourcer would provide the provider with a periodic overview of the changes that are planned from their side.

The pun in the first sentence of this section ‘b’ is intended: it should be clear that after the contract has been signed the relationship can not become a one-way street, both party’s will have to ‘get and give’

KPI’s and Report Processes (‘Processes’)

When both the qualitative and the quantitative parts of Products covered, we can turn our attention to the two parts of Processes: KPI’s and Reports. The Service specification does not only specify these two factors, but also the ‘how to’ go about them.

. Past Future
What Reports KPI’s
How Reporting Procedure Counter measures

 

 Where the Reporting Procedure speaks for itself, the Countermeasures (or ‘Corrective Measures’) are the way how to achieve KPI’s, but less common. These are nothing but a predefined set of actions that need to be put into place in predefined situations. Later on we will speak about Emergency Plans, when typhoons or pandemics hit, when IT or Facilities’ break down, but Countermeasures relates to situations where Operations (threaten to) ‘break down’. A typical example would be where a Service Level would fall below a certain threshold: When do you inform the client (and when not, she does not want to be spammed with hourly warnings that an interval Service Level is not being met) , Who at the client do you inform? And maybe even more important, What do you do?

Personnel Planning (‘People’)

One then could argue that the creation of a Personnel Planning to ensure that the workload of the Forecast can be handled is the next major component of a Service Specification, but in my experience it generally is not. The reason is that the personnel planning is a purely provider topic. (Virtually) No client is interested in how exactly the personnel planing is executed. Furthermore, a provider does not want to commit to a certain way of planning, since she does not want the introduction of a new planning system to be aligned with all of her clients.

Work Instructions (‘Procedures’)

The next topic of the hierarchy of BPO topics is definitely something to be covered in the Service Specification. There is only one ‘But’. In almost all instances, procedures are voluminous works, with frequent additions and changes. In almost all cases I have seen (if not all), the Service Specification mainly referred to the place where these work instructions could be found.

One very specific set of documents in this realm is the training documentation. Based on the work instructions it goes into details to explain how to use them. By themselves they usually are separate documents and only referenced, but often certain agreements are made on the kind of selection (e.g. a security check for employees working for a bank) or the training requirements before agents become ‘minimum skilled’ (e.g. sales training for agents doing outbound).

Channels and Configuration (‘Systems’)

In general it is way to cumbersome to add all technical systems designs to a Service Specification. However, in some cases it may make sense to define the communication channels used: which points of entry does a customer have? Sometimes certain customers for certain purposes are allowed to use certain channels. In such a case the client generally has a very professional Customer Contact Strategy prepared and is able to provide forecasts per entry point.

Another element of Systems might also find it’s way into the Service Specification: the Configuration. This document – usually a schematic overview – shows how the systems have been set up for this particular account, e.g. an overflow for multilingual accounts. Although very ‘unsexy’, I dare to say that the intelligence of the configuration has much more effect on the effectiveness of the service than the intelligence of the underlying system. Too often did I see expensive systems being underutilized, too often did I use simple systems to achieve the same effect by just using a smart configuration. One example is ‘Skill Based Routing’: often this buzz word is great in convincing a client that she really has to choose for this particular system or provider. It would be interesting to note how many of theactually implemented configurations could not be copied by a simple agent group configuration (as we already used 20 years ago), used in an intelligent manner.

Emergency Plan (‘Safety’)

The Emergency Plan is a subject one could write a complete book on, ranging from a simple evacuation plan to a comprehensive ‘Business Continuity Plan’. There are just a couple of suggestions I would like to mention for it’s contents: focus on actions before, during and after an emergency; and do not limit the Safety to just Facilities, but also take into account IT and other Systems, and Operations. On the latter it goes further than in the Countermeasures:   what do you do when your total center has been devastated by a typhoon? And how do you bring back in a controlled manner the emergency capacity to the original site?

It is amazing how helpful it is if you then still have access to the implementation plan and the acceptance tests for systems and personnel…

Invoicing Procedure (‘Finance’)

After all is well and done, there is an Invoice to be produced, sent and paid. Purchase Order numbers are usually quite difficult to obtain, invoicing addresses and VAT-numbers should be correct to ensure a signature on the right dotted line. Somehow, this part is not often overlooked…

This is a living document. I will not administer all the changes that will be applied, but I expect that in the course of time it will be many

 (Originally published August 28, 2013)

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I want your complaint!


Why it makes sense to ask for complaints.

In a traditional setting, feedback to an organization is often divided into two sorts: the compliments received, which are displayed on the worker’s floor like trophies or the ‘getting well’-cards some people display in a hospital, versus the complaints, which need to be addressed ‘To the Board’, are marked as ‘important’ by the general management, given to a super-specialist somewhere in the basement of the organization whose sole aim is to prevent the general manager be embarrassed in a consumer advocate program on TV.

Only very few organizations actively pursue customer feedback in a structured way. There are notable exceptions like organizations who very actively pursue a Net Promotor Score (NPS), make statistical analyses on them, and so come up with action programmes to drive change programs geared towards increasing the NPS (and the purchasing intentions behind it).

Other organizations spend small fortunes on another ‘sexy’ subject: market research, preferably executed by a big brand agency, so that the conclusions are shrouded in professionalism, and any mistakes do not end the career path for the buyer.

Here I would like to suggest a slightly different approach, which has only some small setbacks:

-relatively small budget, so no big internal exposure towards the Board;

– focused on existing customers, more focused on managing shrinking – or at least not growing – markets, so not focused on sexy ‘new’customers out in the ‘blue ocean’;

-fairly easy to obtain the first data, so no major obstacles to climb and show off your mountaineering skills.

The major advantage is that it provides a possibility to totally upset your data gathering: rather than just assembling all kinds of interesting customer service data (“the most frequently asked question is….”) where often it is unclear what action is derived from it, one will have to restructure the data according to the actual processes a customer goes through.

In an earlier blog (unfortunately for some readers in Dutch), I propose the following definition of a complaint: every(!) repetition or correction on a previous customer contact.

Where one could see all customer contact as a ‘fail’ for the producing company, because apparently the product is not intuitive enough to use or sufficiently failsafe (what I would call the ‘First step of the Rocket of Escalation’), this usually can only/should be solved in the primary processes of the producer. Again in general, this requires quite some effort. However, when you

  • first organize and categorize your complaints in a sensible manner – otherwise the results will be useless – and
  • then measure the repeated order/comment/complaint, you get a good measure where there is obvious waste in the customer support process. Fortunately, most consumers seem to feel the same and do not mind to order or change their product, only when they need to repeat their request they become annoyed.

The best way to improving your primary processes is to look at the incidence of your customer service requests, the best way to improving your customer service processes is to look at the incidence of your ‘complaints’.

In most instances, companies try to minimize their complaints, because it might result in bad publicity. But just imagine what impact one would have by saying: “I want to improve my customer service, therefore I want your complaint!”

Note: an additional aspect of this method that should be noted is that the Customer Service Manager/Director needs to obtain Board-backing beforehand, since otherwise she will be held accountable for the incredible increase in complaints that will take place under her responsibility.

(Originally published on July 25, 2013)

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