What are your callers thinking about when they spend minute after minute on hold to speak to an agent? Probably among the thoughts would be ‘what’s taking so long’? Studies show that up to half of all customer service calls are unnecessarily placed due to high organizational dysfunction. A communication misstep within the customer service chain inevitably triggers a customer call to figure out what has happened with their order or shipment, for example. These unnecessary calls tie up valuable agent time, run up call center operation costs, increase customer effort and create an overall negative customer experience.
I recently placed an order online but never received an order confirmation. Usually I get a prompt confirmation email that includes the order number and an estimated ship date, but this time I didn’t. Of course, my credit card was charged but without my order number or my confirmation I had to call customer service to ensure my order was actually placed. My not-so-helpful customer service agent said I had two options: wait to see if the order arrives or to reverse my credit card charges with my bank and place the order a second time. Something as simple as a missing order confirmation email had increased my customer effort score through the roof. Continue reading “Are unneccessary calls hiking up customer experience dysfunction?” »
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?” »
Tis the time of year when we’re all making resolutions both personally and professionally. This year, pledge to halt the risk to your organization by not effectively analyzing customer feedback and conversations. Your path is unclear and even treacherous without this necessary business intelligence. If you are not able to prove how these customer analytics have resulted in changes to your products or service strategy in 2011, then you dropped the ball last year. Don’t do it again in 2012. You just might not have the opportunity again in 2013.
Did you realize you have all of the raw data needed, so make the resolution to transform it correctly to be a better leader in 2012. Categorize and analyze the customer sentiment and proactively push the information through your organization and out to customers via the call center and social media. Be an assertive executive of positive sentiment and not a reactionary slave.
How would you leverage these customer comments? Continue reading “As the ball drops this New Year’s, don’t drop it again with customers in 2012.” »
Customer sentiment and text analytics are all the rage these days, as organizations aim to differentiate themselves from the competition with the only thing they have left: service. These activities can make the difference between an organization that thrives and one that crumbles against the competition. But in order to experience the values and gains, a significant investment in both people and technology is needed. Text and sentiment analysis is not a case of buy it and good stuff will automatically happen. A human—-a highly skilled and intelligent one at that—must “teach” the technology what to look for, and not just once, but on an ongoing basis.
Even text analytics on a smaller scale, involving customer satisfaction and voice of the customer survey comments, can be a time-consuming task. But the risks of not analyzing customer comments are immense, ranging from failure to recognize business/product/service opportunities, to making key decisions based on incomplete information. As I often say in my results review meetings with business partners, the quantitative (numeric) data we capture tells us what happened in the past, and can be used to predict what might happen in the future. Where the numeric data is less precise is in helping us understand that “why” behind the “what.” That’s where the qualitative (comments) data is invaluable! And while I suspect that companies understand this statement, failure to capitalize on customer comments is one of the top three failures in most all customer experience programs.
Below are two of an endless number of examples of the type of intelligence that would have been lost if customer comments were not analyzed and mined.
Example 1
Quantitative insight: Perceived value of the contact center was below our set target for the fifth month in a row.
Qualitative insights: 20 percent of all negative comments about the call center have nothing to do with the call center! These complaints are being generated by negative experiences customers have with other departments (underwriting, claims, pre-authorization). Another 12.37 percent of negative comments are being generated by a combination of technology issues and poor customer service (customers being immediately hung up on by agents). However, the remainder of all negative comments is directly within the call center’s control to improve (starred items), 33.89 percent of which are agent behavioral issues.
Risk associated with not mining customer comments: The call center has become the most important place where customer sentiment is captured. However, if relevant business insights are not discovered and shared with other departments (underwriting, claims, pre-authorization, technology), the organization is committing competitive suicide by “killing” these departments of an opportunity to improve, and “killing” the organization from elevating its service differentiation and brand strength. That is just dumb. Continue reading “What top three failure in your customer experience program are killing you?” »
Guidelines and talking points sound different to customers than do call-controlling scripts. A call center agent who sounds like an advocate or advisor because they naturally converse (what they are told to say), deliver a better customer experience. With your effort to help agents connect with the caller or to control the content of the call, your scripts easily become a cause of poor customer experiences.
You know that being a call center agent is extremely difficult. Were you aware that multitasking is close to impossible for human beings to do? Did you know that with each additional task added to the basic task of listening, efficiency and effectiveness degrade? Add the need to say specific things during the call to the list of tasks that have already decimated the ability to perform and what do you get? Well, you get call center agents who sound like idiots (and robots) because they resort to reading the script and not one who is thinking about what the caller is saying. As far as your customers are concerned, you have engineered intelligence, common sense, and human emotion right out the door.
Your customer experience and/or speech analytics can help to identify agents who are desensitized due to over scripting. If you are only doing traditional quality monitoring then you are not actually listening what your customers are saying. Here are some examples of what you could hear: Continue reading “Do your call scripts make call center agents better or dumb?” »
I think more than anything where we fail in customer service, both in the call center and out, is the follow-up. We put great importance on the quick fix, to speedily get the caller off the phone to address the next caller in queue. We’re worried about call volume and first-call resolution and other metrics. The truth is, some problems aren’t resolved quickly, and require additional research to resolve them completely. That’s where we fall short in customer service; following up with the customer to keep them in the loop.
For many companies significant costs are experienced due to poor follow up practices while also damaging the customer experience. To me, it’s like what we see played out on Wall Street today. Most of the effort is placed into meeting my shareholder expectations today (handling the call) while blind to future impacts (profitable, long customer relationships).
We’ve talked recently about the spike in customer product repairs vs. replacements and the resulting call volume to your call center. Have you also thought about the additional agent time required to access and understand how to apply the warranty and repair agreements, the time it takes to follow up about a repair and to communicate the progress (or lack thereof) with a customer? Continue reading “Is your call center short-term focused and long-term blind like Wall Street?” »
Being in the industry makes me hyper sensitive to call center service when I am a caller. I’d classify myself as a good customer because I try to set them up to be successful. I try to never raise my voice and I always remember that they are only as good the processes that are behind them. But there are times when there’s no choice but to feel the same pain that other customers feel.
Recently, the first call center agent I talked to seemed knowledgeable enough but the call got disconnected. Okay, but the first thing she asked me when we started the call was for my number in case we got disconnected so she could call me back. I waited 15 minutes but no call back. So I called back. I reached someone new this time. I started my story over with this new agent. After about 30 minutes he said he’d have to transfer me to his supervisor who had more experience. I had to start my story over a third time with the supervisor only to discover that my issue was complicated and would require that a case be opened.
You are probably thinking the same things that I did: Why didn’t they call me back when they made me feel like they would? Why did it take so many agents and so much of my time to figure out a plan? Why is the knowledge base so ineffective? What are they doing to address their poor first contact resolution rate? Continue reading “Your agents are only as good as the processes behind them; so what’s wrong with your processes?” »
Recently, I walked into my classroom for the upcoming term and braced myself for the exasperating questions that seemingly every class insists on asking: “Will you be sending out lecture notes after class?”, “will this be on the test?”, and “why do I have to take this [any variation of math] class?” The answers to which are “Ha ha, ha ha, ha ha,” “maybe” and “because you may want to choose to work in the fast food industry, because I’m guessing you’d prefer your Thunderbird T-top to rest on tires and not blocks, because maybe someday you’d like to have tires on your car but not on your house.” But, this time around I was pleasantly surprised. A student’s question about the merit of using paper and pencil (and whiteboard) to do math in a world of ever-accelerating computational speed led to a discussion of the priorities businesses place on subject-matter expertise versus technological skill.
The unfortunate reality is that many well-intentioned businesses spend millions of dollars each year on good, even great, tools designed to make their businesses more efficient and provide greater visibility into the inner-workings of the business. They spend time and money making a business case for the purchase, calculating the product’s ROI, payback period, etc. Unfortunately what is often lacking is the subject-matter expertise required to make good on the ROI projections. Continue reading “Tips to prevent creating your own contact center analytics shelfware.” »





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