Holistic medicine is a big picture view – the emotional, physical, psychological and environmental factors that contribute to a patient’s overall health. Without considering all of these factors, a doctor may only solve part of the affliction without completely healing the patient. In your call center, the agents lacking a holistic view of a customer’s history may only solve part of the customer’s problem but not rectify the entire issue.
Think about how information in your company is heavily siloed by department which dictates that your call center agents have access to some of the customer’s history and information but not a holistic view of their entire interaction/relationship with the company. As we discussed last week, when Big Data is put to work in the right way it greatly benefits your customers and your brand. But when marketing, sales, online and other departments generate, collect and evaluate customer data but do not share it with the call center, the power of Big Data is undermined.
Your customers already think you are the master of Big Data, right? How often do you hear, ‘why can’t you see that on your screen? ’ Customers get frustrated and call center agents fail when the customer intelligence data available is incomplete or not readily accessible to them during a call. It’s also easier to misdiagnose a customer problem, miss an up-sell or cross-sell opportunity, or even lose a customer if the agents are limited to a single view of that customer. Think about the times you’ve called about a product or service issue and how much better your customer experience would have been had they offered to upgrade your service because they could see your contract was about to expire. Or gave you a discount on a related product because they had access to your spending patterns. Or could see that you spend most of your time shopping online through their web site and then tweeting about your purchases, so you were informed about their Twitter service handle to use the next time. Continue reading “Holistic medicine for your call center; look at the whole customer experience.” »
A friend of mine works for a prominent university where one of his primary responsibilities is actively engaging with the alumni and athletic boosters, both directly and through social media channels, to garner large donations. Recently his department compiled a tribute video for one of their most prominent alumnae (and donor) using recorded messages from some of their past outstanding football players. It was a great idea in theory but tracking down this old player data proved to be rather difficult.
The life in academia is very much like our corporate lives. We have TONS of data about past and present customers (students) but it’s not easily accessible, not well organized and definitely not easily analyzed. My friend’s task sounded easy – track down football players that played for the university between 1974 and 2010, contact them, and get them to agree to appear in the tribute video that would air during this year’s homecoming celebration. What seemed like a straightforward request, turned into nothing short of a Big Data nightmare. You must be thinking, ‘I can get past customer addresses – what’s the big deal?’
The big deal is that my friend’s problem goes far beyond getting addresses. What kind of analytics are they using to determine who are the most valuable alumni (customers)? The university likely picks the person(s) who have given large amounts in the past (bought more) but who in their population is not connected, is not giving, has not been engaged with the university. There are invaluable relationships among the data that will increase donations (purchases) but you cannot just “eyeball” the answer. Continue reading “Mo’ big data, mo’ big problems.” »
Last week I told you about my alarm vs. phone company customer experience drama and raised the question of what part of each dollar spent on your products and services is needed to fund your company’s dysfunction. I bet it’s more than you thought.
To last week’s point, I just received my phone bill. I usually skim my bills and just pay what’s required. This time my paranoia of dysfunction got the best of me and I started reading the bill line by line. The bill was littered with this fee and that fee. Hard line fee? Gross receipts surcharge? Fees that I’m now convinced are disguised to cover the phone company’s dysfunction because they cannot just raise the base monthly cost without everyone noticing. Then I study the alarm monitoring company’s invoice and try to calculate what the monthly fee SHOULD be – I think I have to pay the fully loaded dysfunction fee of $39 when it should be more like $29 without the dysfunction subsidy.
Is your company so heavily process-reliant that you’ve squashed common sense? Common sense that’s needed to solve simple customer issues? Is one department setting up another to fail because of lack of communication or information that then leads to bouncing your call-in customers around without a clear path to call resolution? Are your analysts running around creating reports that no one is reading when they should be reviewing the company’s speech analytics to uncover the real customer pain? Continue reading “Just how much customer experience dysfunction am I paying for here?” »
Mining and analyzing customer comments to understand sentiment is no longer a wish. It’s a must. Based on years of experience, I suspect many of you are like the business partners I work with: you understand the value of the activity, would love to be able to get your hands on the insight, but don’t have the resources to do the work.
But there is good news. Using basic business intelligence approaches, it is possible to get a quick start on sentiment and text analysis to better understand what your customers think and say about your business. This information can then be leveraged to better serve customers and ultimately, improve the bottom line.
The rate at which customers provide commentary in customer experience surveys in itself can be very telling. Below are examples of insights that can be gained simply by examining the relationship between key real-time survey metrics and the propensity of customers to provide verbal feedback.
For the business partner depicted in the chart below, customer comments and real time alert rates were highly correlated. The more likely a customer was to comment, the more likely alert rates were to increase, and vice versa. This suggests that dissatisfied customers who required a follow up call from a manager were more likely to leave negative comments than positive ones.
While this may seem troublesome at first blush, understanding customer complaints is often an untapped gold mine. Reading and mining these comments could offer significant intelligence and gains for this business partner which can then be woven back into continuous improvement initiatives. Continue reading “Your quick start to the customer experience gold mine.” »
Every year around this time I find myself reflecting on the months that have passed and what I wish I would have done, not done, done better or done differently. At the risk of appearing like a new-year’s-resolution-gym-rat that is rarely seen past February, I’ll share my list of 2012 professional resolutions to include dumping reports that aren’t used, carving out creative time, looking for best practices in other industries that I can apply, and focusing on preventing the damage caused by not leveraging customer sentiment.
1. To focus on the things that matter. We all have a “to do” list that we likely dread looking at because of its sheer volume / length. There’s nothing quite as satisfying as scratching an item off the list, even if you know it’s not the most important item, or even a value-add item, right? In 2012, I resolve to minimize the number of tasks on my to do list by only including the items that offer insights into the business, add value to my customers or provide direct benefit my organization. The things which are likely to fall off the list in 2012 as a result? Reports that no one looks at, reports that people look at yet do nothing with, and presentation decks that are so repetitive month to month that even I get bored creating them, etc, etc, etc.
2. To be even more militant about customer sentiment. The business partners that I work with often hear me use the phrase “the quantitative data tells you what is happening, the qualitative (customer comments) tell you why.” Customer sentiment cannot be ignored without foregoing the value that is needed for an organization to differentiate itself from competitors. Everyone has customer conversations but they are not analyzed. Many have customer feedback programs that do not include explanations from the customer about the numeric score given. And still more have customer explanations that are not analyzed. Customer Sentiment Analytics is on my list again for 2012, but with an even higher point of focus. This one should definitely be on your list! Continue reading “2012 resolutions for a better working me (take any that you need for your list!)” »









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