How We Built Avaya's Own Version of Khan Academy

974 videos, 2,159 subscribers, 272,211 video views – all in just 17 months. Those are the key stats around the Avaya Mentor program, our fast-growing set of how-to YouTube videos for Avaya products that my team and I have been producing.

Last week I had the pleasure of presenting at the semi-annual Technology Services World (TSW) Conference, hosted by the Technology Services Industry Association (TSIA) on the Avaya Mentor program, which I had also written about last August. This was a conference focused on services transformation and TSIA asked that I talk about how we at Avaya put together this video knowledge base, including challenges we faced. The breakout session was well attended and so I thought I would share this presentation with you here. Below is a YouTube video of me doing the presentation (not at TSW), which I’ve also summarized, along with more success metrics, for those who prefer to read.

As most of you have heard, the best example of using video to share knowledge is the Khan Academy. This non-profit’s website has a free collection of over 4,000 educational YouTube videos, surrounded by curriculum, quizzes, and incentives like points and badges. The topics range from simple addition, which has 1.7 million views, to the French Revolution with 400,000 views. 

Khan makes a point of having its contributors avoid a teacher-at-a-whiteboard approach, opting instead for a style that feels like you’re sitting at a table with a tutor, working through the topic on a piece of paper. This better aligns with the many of us for whom learning is a visual experience. Being able to see how to do something taps into something different in the brain than just reading about it. The intuitive simplicity of this approach has allowed the Khan Academy to eclipse MIT’s own online education system with a total of 260 million views. 

Another good example is Jove, the Journal of Visualized Experiments, which helps speed up academic research through online video. When an academic team publishes a research paper, they include instructions so that peers can reproduce their experimental results and thus verify the research. Even to experienced lab researchers, understanding exactly what the authors of the research were trying to convey can be difficult, sometimes delaying the peer review process by months. Jove allows them to more easily include videos to demonstrate the procedure.

jove_screenshot.jpg

(Link)

By this point, I hope you are asking yourself why you aren’t already using video for your knowledge base. Wouldn’t your employees and customers benefit from your company’s own Khan Academy? At Avaya, we found ourselves facing this question in the fall of 2011.

The President of Services challenged those of us in his extended leadership team to make our organization not just be successful in the market, but to be an organization that the analysts would write about. Put another way, it was no longer good enough to be lean and efficient; we needed to take the lead. 

Going All In

My proposal was to put together an Avaya version of Khan Academy. We would use video to expand on the company’s existing knowledge-base-focused-support-model. We limited our scope to basic how-to videos designed to help those that install, maintain, and support Avaya products, be they customers, partners, or Avaya employees. These were to be short how-to videos, not anything that would replace the training that Avaya Learning develops. 

Like Khan, we would focus on videos that were more live screen capture than talking heads. Additionally, I proposed that unlike Avaya’s existing knowledge base which is only available to our customers with a maintenance agreement, we would make the vast majority of our videos available for free on YouTube. By doing so, search engines like Google would be aware of this content, making it much easier for an engineer to find the answer to an Avaya-related question.

As we got started, getting buy-in from leadership was obviously important. A big part of that was that my team of engineers would need to reprioritize some of our work in order to make time for generating 800 videos in only 9 months. We had great support from Mike Runda, the leader of Avaya Client Services, who gave us the green light to move forward.

The Gear We Got

We evaluated a number of video production software suites and settled on Camtasia Studio. Camtasia gave us great features like the ability to use templates, splice video and audio in, as well as special editing features to highlight or zoom to certain parts of the screen. These licenses ran ~$150. Adding Camtasia required that we upgrade a number of our engineers’ laptops to meet the minimum specs, an upgrade that everyone was excited to have a good reason for.

We also went with a high-quality $80 USB microphone called the Blue Yeti. All in all, that’s about $230 per engineer. We felt it was important to maintain a common look and feel to these videos, so we built a template for Camtasia with legal and branding-approved intros and outros as well as standardizing on things like transitions. Due to our high quality standards, after reviewing the first handful of videos, Avaya’s branding team gave us carte blanche to publish to YouTube without further oversight.

Getting Started

For topic selection, I was lucky to be starting with an amazing team of subject matter experts. Most had no trouble coming up with topics for videos. For those that did get stuck, the engineer would talk with the support engineers to determine the most common repeat scenarios that they encounter and find a way to use these videos to speed up resolution and/or prevent the tickets from being opened in the first place. 

As word got out about our videos, we also started receiving requests from internal and external users. We set a limit of 15 minutes for all the videos and encouraged them to be under the 5 minute mark. The length would really depend on the topic, and I would challenge the author of anything over 10 minutes to see if they could break it into more than one smaller video. To give you a feel for our topics, here are six that show off the variety covering hardware, software, different product portfolios, even our own customer-facing tools.

Quality Control

As the lead for this effort, the most time-consuming part for me was the review and approval process. It was very important to me that we has a very high quality product and thus I personally reviewed each and every one, sending back to the author a list of changes that I wanted to see. The bar was set high and a single review could easily take me half an hour

To help reduce the number of errors, I would frequently share an updated list of common problems I was encountering. This was important as some had a harder time with the learning curve than others, encountering more than 20 issues per submittal, and multiple submittals of the same video. It is worth noting though that while everyone got much better at it with time; some were submitting perfect videos on day 1 while others never quite got there. Some of my engineers were frustrated with me as they felt the bar was set too high for quality. If I heard any extra noise in the background, or if a transition wasn’t crisp, I’d send it back. 

But our users noticed that quality and complimented us on it. I feel it was important to our success. After three months, I delegated the approval process to one of my top engineers, Bhavya Reddy. She was one of the best at producing error-free videos and thus I knew she could maintain our quality. Here’s her video on setting up Avaya Aura Session Manager, which has garnered more than 6,200 views.

After six more months, Bhavya transitioned this role to the company’s formal knowledge management team where it could be better integrated into the other KM processes. This is important as we made sure we always dual-published all YouTube videos to the standard knowledge base by embedding the YouTube video in an article. This helped us ensure that our users could trust that a search of http://support.avaya.com would return everything. The videos that were deemed proprietary were uploaded to an internal server instead of YouTube and published as internal-only articles in the existing knowledgebase.

Getting the Word Out

Building a knowledge base, or any tools, is pointless if you can’t get user adoption. I felt it important to delay the initial announcement until we had the first 100 videos published. I was concerned if someone came to the site and only saw 5 videos, they might never return. 

So once we reached 100 videos, I had the President of Services announce the program internally, followed by similar announcements in external communications to our partners and customers. To reinforce this in a more detailed way, I blogged about it on our corporate site wrote as well as created a Twitter account for Avaya Mentor, allowing people to receive tweets when new videos are uploaded. 

At last year’s Avaya’s User’s Conference in Boston, myself and others passed out materials to all the customers and partners we met with, be it at the conference center itself, or in a bar later in the evening. The IAUG group was actually so impressed with the program that they helped with advertising on all the plasma screens throughout the conference center. We’ve also partnered with the product documentation teams to include references to our program directly in the product documentation.

Our Results

With 16 months now under our belt, I thought I would share with you some of the measurable success we have had with the program. As I mentioned earlier, we have published nearly 1,000 videos on YouTube which have been watched more than 270,000 times.

While the U.S. provides our largest set of viewers, I’m happy to say that we are in 196 distinct geographies. What our support folks are most excited about is that we’re at 1,100 hours of video viewing per month which equates to about 10 full-time equivalents of people, which we figure equates to at least 3 FTE of labor avoidance. 

But perhaps the most interesting metric is that we are seeing significantly more views per article than Avaya’s text-based articles. Now, this is not an apples-to-apples comparison given that we used some of the company’s most knowledgeable resources and posted our content publicly. However, I still think it is clear that video-enabled content is that much more compelling than text alone. 

Three Unexpected Benefits

There are many surprising results from the Avaya Mentor project. The most exciting one for me as a manager was the impact to my employees. At first, I had some resistance from some of my engineers. They were not yet convinced of the value of these videos and combined with the steep learning curve and high quality expectations, some folks just weren’t interested. However, after the good press started, with people directly contacting these authors thanking them for their videos, they came around to its value.

I also saw increase in their self-confidence, which is typical after demonstrating how-to do something to others.  Having those people publicly thank you helps a ton, too. Our most popular video is actually about setting up an interface on an HP server – it has gotten more than 19,000 views! This video was created because many of our applications are sold with this server and this configuration is important. What we didn’t expect is that non-Avaya people would find it valuable to their usage of the same HP servers. I’ve found our video embedded in a variety of websites out there, having nothing to do with Avaya. 

The last surprise was discovering that a business partner pirated a few of our videos and re-uploaded them to YouTube and other sites, touting them as their own. This is something Avaya typically doesn’t care about as our videos tend to be marketing-based. The upside of this is that the message is getting out to more and more people. What makes me nervous is that if we find a problem with a video and need to take it down and re-release it, this partner likely won’t see that and bad information will continue to float around.

We’ve received great feedback from our users of the program. We get these comments on YouTube, Twitter, and via email. Sometimes we get suggestions for new videos to create, product support questions, or just encouraging statements like the ones shown here. As mentioned previously, feedback like this is very encouraging to our engineers.

I want to thank my team who helped make this program a success. We dedicated at least a third of our time for nine months building this program up and it was no small feat. I’m proud to say that Avaya has recognized all of them with well-deserved awards.

Contact or follow me on Twitter @CarlKnerr.

Related Articles:

Call it what you will: Multi-channel, Omnichannel—It isn’t about the Contact Center!

At this point, we know that most companies are competing exclusively on the customer experience (83%, according to Dimension Data). McKinsey Insights shows that effective customer journeys are impactful: increase revenue by up to 15%, boost customer satisfaction by up to 20%, and turn predictive insight into customers’ needs by up to 30%. The issue isn’t that companies fail to understand the importance of the customer experience (CX). The problem is that over half of companies today fail to grasp what is arguably the single most important driver of a successful CX strategy: organizational alignment.

This isn’t to say that companies aren’t taking the necessary steps to strengthen their CX strategies. Looking back five years ago, 92% of organizations were already working to integrate multiple interaction channels—call it multi-channel, omnichannel, digital transformation—to deliver more consistent, contextualized experiences. The needle is moving in the right direction. However, companies will find themselves in a stalemate if they limit the customer experience to the contact center.

Customer Experience is the Entire Brand Journey

That’s right, the customer experience is NOT about the contact center. In fact, it never was. The customer experience is instead about seamlessly supporting consumers across their entire brand journey regardless of where, when, how and with whom it happens. This means supporting not just one business area (i.e., the contact center), but the entire organization as one living, breathing entity. This means supporting not just one single interaction, but the entire experience a customer has with a company from start to—well, forever. After all, the customer journey never truly ends.

Are companies ready for this future of the customer experience? Perhaps not: 52% of companies currently don’t share customer intelligence outside of the contact center, according to Deloitte.

Executives are planning for not only contact channels to expand but most are expecting these interaction journeys to grow in complexity. It’s clear that a contact-center-only structure doesn’t cut it anymore. At today’s rate of growth and change, it’s easy to see how a CX strategy can miss the mark when the entire customer journey is being limited to the contact center. Imagine how much stronger a company would perform if it supported the customer experience as the natural enterprise-wide journey it is? A journey where interactions take place across multiple channels and devices, unfolding across multiple key areas of business (i.e., sales, HR, billing, marketing)?

Imagine, for instance, a hospital immediately routing an outpatient to the travel nurse who cared for him last week, although she is now on the road to her next location. Imagine a bank being able to automatically route a customer to a money management expert after seeing that the last five questions asked via live chat were about account spending. Imagine a salesperson knowing that a customer attended a webinar last week on a new product launch and had submitted three questions—all before picking up the phone. Imagine a retail store associate knowing you walked in and that you were searching online for formal attire.

Contextual Awareness is Critical

Today’s CX strategy is no longer about asking the right questions: it’s about having the right information at the right time to drive anticipatory engagement. It’s no longer about being able to resolve a customer issue quickly. It’s about building an authentic, organization-wide relationship based on contextual awareness. In short, this means companies being able to openly track, measure, and share customer data across all teams, processes, and customer touch points. This ability either makes or breaks the CX today.

So, are you near the breaking point? Consider that nearly 40% of executives say their agents’ top frustration is that they can’t access all of the information they need. Less than 25% of contact centers today enjoy full collaboration on process design with their entire enterprise. Connected customer journeys and the overall CX are now top areas of focus as most organizations support up to nine channel options. CX will encounter a dramatic shift of reimagined customer engagements that will be able to incorporate technologies such as artificial intelligence, IoT, analytics, and augmented reality and virtual reality.

The bottom line is this: organizations must support an enterprise-wide customer journey to support the future of the CX now! They must share contextual data inside and outside of the contact center, and they need seamless and immediate access to that data anytime, anywhere, under any given circumstance. Above all, organizations need the right architectural foundation to support this anytime, anywhere ecosystem—otherwise, even their best moves will always result in a draw.

Get out of the Queue: Drive Your CX with Attribute Matching

At this point, nearly every company is working overtime to realign around two simple words: customer experience (CX). So much so that nearly 90% of companies now compete solely on CX—a drastic increase from 36 % in 2010—and 50 % of consumer product investments are expected to be redirected to CX innovations—like attribute matching—by the end of this year.

But what exactly does the CX consist of, especially in today’s new world of digital business innovation? This next-generation CX is supported by several advanced technologies—big data analytics, omnichannel, automation—however, these investments are all aimed at driving one thing: contextualization.

The rise of contextualized service—the ability for companies to not only gain insightful information about their customers but also deliver information in a way that is relevant and meaningful to customers based on individual circumstances to improve their experience—has evolved the CX to a point where it looks virtually nothing like it did as recently as 10 years ago. Whereas consumers once primarily focused on the act of purchasing, driven by such things as product quality and price, they now focus on the richness of brand relationships, driven by the personal value that companies deliver throughout the customer journey. Just consider that 70% of buying experiences are now based on how customers feel they are being treated. This is the key factor that sets apart market leaders like Amazon, Trader Joe’s, and Apple from the competition.

According to Accenture, there is an estimated $6 trillion in global revenue up for grabs due to dissatisfied customers constantly switching providers. The ability for companies to offer contextualized service is vital for operating at the speed of the consumer and capturing more of this market share. There’s just one thing preventing companies from seizing this limitless potential: the traditional call queue.

Every customer is familiar with the call queue. This is the place where statements like, “Your call is important to us. Please continue to hold,” and “Let me transfer you to a specialized team who can help you with that” perpetually live. It’s where exhaustive efforts to route customers to the correct service rep become lost, or where consumers must repeat the same information to multiple agents across different teams. It’s the greatest barrier preventing companies from being more dynamically connected to their consumers, and one of the greatest reasons why customers reduce their commitment to a brand.

Driving Contextualization with Attribute Matching

In a world where customers demand a profound level of connection and transparency, organizations can no longer support a contact center environment in which calls are distributed among agents who are organized by function (i.e., sales, service, support). In today’s smart, digital world, companies must transform the traditional call center into an integrated, digital communications hub. This means moving away from a siloed, metric-driven queue and instead working to put customers in touch with the best organizational resource depending on their exact need or circumstance as immediately as possible. The most effective way to achieve this is to migrate from archaic infrastructure towards an integrated, agile, next-generation platform built on open communications architecture.

Open communications architecture allows organizations to seamlessly collect, track and share contextual data across various teams, processes, and customer touch points. This integrated environment supports a real-time data repository from which businesses can pull from to route customers based on needs beyond traditional characteristics (like language preference). Rather, the technology allows companies to build customized learning algorithms that drive anticipatory engagement, enabling them to match customers based on next-level variables like personality, emotion and relatability.

Imagine, for example, a hotel routing a customer directly to an IT staffer after seeing that the person tweeted about a poor in-room Wi-Fi connection. Imagine a bank being able to route a customer to a money management expert after seeing that the last five questions asked via live chat were about account spending. Imagine an athletic apparel company matching a customer with an agent who is an avid runner after noticing that the individual recently signed up for a 5K.

The future of the CX means creating and continually building a contextualized view of customers throughout their entire brand journey. It means going beyond customer service to establish unparalleled, organization-wide relationships. It means transforming peoples’ lives, verses simply answering questions. This is what companies must work to align themselves with. The good news is that technology has evolved to a point where they can now easily, effectively and cost-efficiently do so.

Interested in learning more or getting beyond the queue to Redefine Your Customer and Employee Experiences? Contact us. We’d love to hear from you.

Reducing the Risks of Distributed Denial of Service Attacks

Picture what may just be one of the scariest scenarios in your career: The network has slowed to a crawl. You can barely hold a management interface, let alone control the network elements involved. The attack propagates, and as it does you watch your services drop one by one. Panic sets in. You’re experiencing a Denial of Service (DoS) attack. All resources are focused on stamping this fire out—and that may very well be the intention of the attackers.

A DoS attack might be a smokescreen to get you to focus elsewhere while the intruder goes about covert business in a much safer fashion, leaving little forensics afterward.

DoS attacks are an easy thing to comprehend. Even the term Distributed Denial of Service (DDoS) is an easy extension. But the strategy behind why they’re used and their intent can vary dramatically. A DoS attack can occur in an array of sophistication. Here’s a quick breakout from the simplest to most complex attacks:

  • Network Level attacks:

    The simplest ones—TCP, UDP, ICMP, Floods

  • Reflective/Amplified attacks:

    Service focused—DNS, NTP, SNMP, SSDP, Specific floods

  • Fragmentation:

    Session specific—overlaps, missing, too many

  • Application specific:

    Repetitive GET, slow READ or loop calls

  • Crafted:

    Stack and protocol level, buffer resources

These methods are often overlapped in a targeted fashion. In essence the attack is a series of waves that each hit in varying degrees of sophistication and focus. Other times the attack is relatively primitive and easy to isolate. The reason for this is that in the simplest levels, it’s an easy thing to do. As an example, a disgruntled student, upset over a new vending matching policy, could mount a DoS attack against his or her school administration. On the other end of the spectrum is a much darker orchestration, the sleight of the hand to get you to look elsewhere. This is typically the signature of an Advanced Persistent Threat (APT).

Unless an attack is very simple and short-lived, it needs to be distributed in the way it operates. It needs to be generated from various points of origin. This is referred to as a DDoS attack. The attacker needs to coordinate a series of end points to execute some particular event at the same point in time or perhaps, in more sophisticated examples, as phased against a time series. For a DDoS attack, the attacker requires a command and control (C2) capability. This means that they need to have access and response to the compromised systems. This is referred to as a Botnet.

Botnets do not have to be sophisticated to be successful. They only have to implement a simple set of instructions at the right point in time. Let’s take the recent reflective/amplified DDoS attack on Dynamic DNS services on the East coast of the U.S., which affected several large firms such as Amazon and Yahoo. The attack was mounted from residential video surveillance cameras. Even though there was no direct intrusion, the firms were impacted. Which leads us to two lessons.

Lesson number one: Security in IoT needs to be taken more seriously in the product design stages. Perhaps the concept and treatment of residential security systems needs to be rethought.

Lesson number two: As we move to outsourcing and cloud services we need to realize that we spread the reality of our exposed risk. Due diligence is required to assure that service providers and partners are doing their role in end-to-end security. But do you recall I mentioned that the source of the orchestrated attack was from the residential network? This brings about a new degree of challenges as we look at the new world of consumer IoT.

How do we maintain security in that sector? Clearly the residence itself should uphold best practices with a well-maintained and monitored gateway. But let’s face it, this is generally not going to happen. The monitoring of behaviors and abnormalities at the provider interface level is the next best catch and many providers are moving to reach this goal.

The other key point to remember about botnets is that in order to command, one has to control. This can happen in various ways. One is automatic. It infects and sits until a predefined time and then activates. This is the simplest. Another method requires true C2. Either way, bad code gets residence or existing code gets leveraged in negative ways. You should be able to pick out the anomalies.

Proper design with hyper-segmentation can greatly reduce the risk of propagation from the initial infection. The botnet is contained and should be readily identified, if you’re watching. Are you?