The Interaction Design Foundation is publishing Gamification At Work by Jankaki Kumar and Mario Herger for the public tomorrow. I just finished reading the book and taking notes thinking I might review it. However, rather than do a simple review of the book’s content, I decided to situate the major points from the book into a post on the general topic of gamification in the workplace.
I appreciate the opportunity to read the book’s early release and, if you haven’t yet seen it just click on the link to it above and you can access it as well. Hopefully you will also consider reading my own thoughts on how the points in the book fit into what is most aptly considered gameful design.
Gamification At Work is an interesting read for several reasons. Kumar and Herger not only cover the essential components of a well-thought approach to why playing games is not antithetical to getting work done. They add to that contribution by outlining a design strategy, which they refer to as Player Centered Design, and providing case-study insights from the SAP Community Network that add essential details to each part of their overall discussion.
Common wisdom among thought leaders discussing learning in organizations notes that most of the learning that occurs happens informally, or socially. A previous Skilful Minds post, Social Flow and the Paradox of Exception Handling in ACM , asserted:
people learning at work rely on social, or informal learning, around 80% of the time. Interestingly, I noted in a former post, Social Learning and Exception Handling, that John Hagel and John Seeley Brown contend that “as much as two-thirds of headcount time in major enterprise functions like marketing, manufacturing and supply chain management is spent on exception handling.” It is not coincidence that the two numbers are aligned.
The most basic point to remember is that exceptions to formal business processes require efforts to design a scalable learning architecture that supports content co-creation needed to adapt to emergent challenges and manage the flow of that adaptation through an enterprise’s ecosystem. Whether judging an adaptation successful requires it to result in new formal learning content, i.e. content co-creation, or a new business process, i.e. organizational innovation, or both, remains an open question.
Informal, social learning is key to exception handling since both make up most of what people do in organizing work in enterprises.
Of course, for every generalization there is usually an exception. My posts on business exceptions to this point largely focus on Barely Repeatable Processes (BRP) where informal and social learning assists employees solve issues raised by the need to improvise and handle exceptions to maintain a good customer experience, or solve issues experienced by other stakeholders such as business partners, suppliers, etc.
Recently, while reading General Electric’s A Connected World blog, one case described there led me to think about informal learning and collaboration with a different twist. It caused me to reconsider exceptions and look at the way attempts to make processes better by using working knowledge learned informally also produces exceptions in some organizational contexts.
Courtesy of Wonderfully Complex’s photostream on flickr.
An early Skilful Minds post introduced The Great Innovation Debate, focusing on the distinctions between Tom Friedland’s conception that when it comes to innovation the world is flat, and the alternative point of view espoused by Richard Florida that the world is spiky. Meaning that the aggregation of creative people in cities, in proximity to one another, largely drives innovation and economic growth. As our previous post noted, John Hagel added an interesting vantage point on the debate by observing that, “Even though you can participate in innovation from more remote locations, if you want to develop your talent more rapidly than others, you are more likely to be able to do that in a major urban area.” In other words, the debate about innovation is largely a difference of viewpoints on the feasibility of effective collaboration across distributed people who work together to get jobs done. These collective efforts typically exist as cross-functional teams working with business partners, or customers.
The innovation debate was raised again recently when John Hagel and John Seely Brown added substantially to the questions behind it in a post titled, Friedmand vs. Florida and offered some key insights that coincide with key points from the McKinsey survey. The gist of Hagel and Brown’s position goes as follows:
It’s true that globalization has led to increased competition; however, there is also a significant opportunity for companies to access the talent gathering in different spike cities and then connect those people around the world using digital technology infrastructure so that they might leverage the skills of, and learn from, one another. Such a model does not develop overnight; to move from competitors to collaborators, participants must form long-term, trust-based relationships with one another. When these relationships develop, then firms can connect capabilities across spikes, and ultimately, pursue opportunities for innovation and capability building across spikes.
Consider the following observations from recent research on the importance of proximity in how team members relate to one another. A recent Forrestor report, Making Collaboration Work for the 21st Century’s Distributed Workforce (registration required) noted that most information workers (including Gen Yers) prefer email, telephone conversations, and face-to-face meetings. These preferences appear to result as much from limitations in the available collaboration tools as anything else. The Forrestor recommendations are three-fold:
create the sense of a “shared office” among distributed employees
use tools that follow distributed employees on the go
provide collaboration tools that make the work easier, i.e. are integrated into the work.
I’ll get back to the major challenge among the three outlined in the Forrestor report (creating the sense of a shared office) in a following post. First though it is important to note that the Forrestor report’s findings indicate fundamental differences between the opposing points of view in the debate over innovation by Friedland and Florida, especially as they relate to distributed employees(i.e. people who are not colocated). For example, a recent McKinsey Global Survey of 2,927 executives, Making Innovation Structures Work (registration required), offered two key insights dealing with innovation that merit attention in relation to the topic.
“Companies cannot rely on a single innovation function alone to create successful outcomes, it must be integrated with the entire organization.”
“The functions located near talent or target markets have more market success and meet objectives more effectively than others, though they are less likely than the functions at or near HQ to engage regularly with company leaders.”
The first conclusion relates to the McKinsey report’s overall insight that organizations are more likely to succeed with innovation efforts when those initiatives are integrated with corporate strategy as well as benefiting from the engagement and support of company leadership. It implicitly recognizes the ineffectivenessof organizing innovation efforts that occur incorporate silos, such as innovation centers or research & development labs.
On the other hand, the second conclusion recognizes the constraints faced in organizing innovation efforts among distributed employees. Creating a sense of a shared office, or workspace, is fundamental to efforts attempting to integrate innovation and corporate strategy, especially if the corporate strategy involves social business.
In my thinking, the key to Hagel and Brown’s point is that, as Gunter Sonnenfeld recently observed in a post called Relationship Economics, “relationships are the foundation of the social web, and the basis for the flat, seemingly infinite distribution plane that is the Internet.” Rather than focus on whether the world is flat or spiky, serious attention is better paid to how enterprises organize collaboration and what limitations placeand cultural context impose on that organizational effort to create innovation capabilities. How to organize distributed collaboration and manage the social interactions involved is the topic that requires discussion when these concerns are brought into focus.
There is nothing like an exception to the way things are done to highlight the need to increase knowledge sharing, especially if the exception is one instance of a pattern that results in bad experiences for customers. As Jay Cross recently noted, people learning at work rely on social, or informal learning, around 80% of the time. Interestingly, I noted in a former post, Social Learning and Exception Handling, that John Hagel and John Seeley Brown contend that “as much as two-thirds of headcount time in major enterprise functions like marketing, manufacturing and supply chain management is spent on exception handling.” It is not coincidence that the two numbers are aligned.
Social Learning and Exception Handling, discussed the organizational challenges involved in dealing with exceptions to business process and their relationship to the shared experience of people working together saying,
The most basic point to remember is that exceptions to formal business processes require efforts to design a scalable learning architecture that supports content co-creation needed to adapt to emergent challenges and manage the flow of that adaptation through an enterprise’s ecosystem. Whether judging an adaptation successful requires it to result in new formal learning content, i.e. content co-creation, or a new business process, i.e. organizational innovation, or both, remains an open question.
Informal, social learning is key to exception handling since both make up most of what people do in organizing work in enterprises. We know people face difficulty when drawing from shared experience, especially in distributed teams because fewer points of common reference exist. Leadership and management consultants often contend a common organizational culture pulls teams together, even though distributed teams frequently span national, regional, and global locations. However, the mere challenge of everyone on a team knowing who else is a member can prove daunting as enterprises grow.
One of the promises of social business is the capability to embed social networks into human relationships to organize business enterprise in a way that people can act together without centralized command and control. The discussions linking the capability involved with its organizational implications for group performance are far fewer. Dave Gray’s discussion of pods in The Connected Company is one notable effort in that direction. In my conception of it, the key challenge is one of organizing businesses for social flow.
From "A Journey Round My Skull's" photostream on Flickr
Recent studies, one by Sentiment360 and the other by FreshMinds, concluded that social media monitoring tools aren’t very accurate in automatically measuring sentiment, much less influence. The insight isn’t a new one and speaks to the now well-known issue of whether social media engagement is scalable. Consequently, we now see social media monitoring companies combining with text analytics companies to bundle their service offerings to increase their ability to monitor a customer’s activity and online influence, tracking that information to the workflows of marketing, sales, customer support, or operations in near real-time.
How well hybrid analytics companies, combining social media monitoring with text analytics, can deliver on the automation promise, and scalability, in managing the customer experience remains in question. For example, in attempting to convey the limits of the marketing promise, Maria Ogneva of Attensity360 in The “Right” Degree of Automation recently offered the following distinctions, between process automation, response automation, and pre-response automation.
Process automation involves developing rules to use in decisions about the flow of information. Response automation involves using automated and “canned” responses to customer questions, generally a “no no” in social media unless tied to an information update rather than a marketing message. It is worth noting, as Maria’s colleague Michelle de Haaff does, that response automation also includes automatically determining which social media messages merit engagement and which ones don’t. The whole SCRM discussion needs independent research on these new hybrid tool sets to assess their degree of accuracy over the existing automated sentiment analysis tools.
I don’t think it is too soon though to assert, following Mark Tamis recent point, that the importance of collaboration across the Enterprise and its ecosystem is crucial to SCRM. It isn’t as simple as training people to collaborate, as some imply. Rather, a learning organization and the culture that goes with it are crucial preconditions for employing analytics effectively in SCRM, especially if business processes and work practices are to deliver customer experiences seamlessly.
The thoughts Maria shared about pre-response automationare key to our discussion here.
Somewhere in between process and response automation there exists another kind of automation. It’s a hybrid of sorts, let’s call it pre-response automation. What in the world is pre-response automation? Well, I did just make up the term, but bear with me – let’s see if we can make it catch on. Your system reads, understands and distributes social media messages in step 1. Then taking it a step further, it looks up a potential answer from either within your FAQ or an external user forum, and queues it up as a potential answer for the person who should be sending this message. This way, you as the company rep, get to send a message that’s automated and personalized at the same time. The thing you are automating is the research that would take you time to look up – time you would’ve spent on a menial task that could be spent on engaging and humanizing your responses. Imagine how many more customers you could talk to then! As long as you are putting human touches on all of your messages, using automation to help you write the straightforward response is A-OK. Of course this only works for fairly straightforward cases, nothing custom or complex. Then there’s no shortcut around research (my emphasis).
Maria’s distinctions about how to apply text analytics in fine tuning social media monitoring to engage the customer experience are well put. In fact, as Lior Arussy recently noted, the more Social CRM advocates promise automation as a feasible choice for meeting the scalability challenge of social media for businesses, the more their consulting strategy mimics traditional IT consulting where the technology, though claiming to only provide a part of the solution, is actually assumed by clients to provide THE solution. As a result, crucial organizational and cultural challenges too often go unaddressed.
…we should not rush to embrace new technologies, when we lack the substance to initiate the customer engagement. A fan club on facebook or constant tweeting will not disguise inferior customer experiences. In fact it will only magnify the problem and distribute it to millions of potential new customers.
At the core of social CRM success must be not the tools but the organizational readiness to act. Both through executives’ readiness to listen and commitment to act combined with design and delivery of superior, differentiating experiences.
In his comment to Lior’s post, Marc Mandel observed that ” in my experience the fault about trying to substitute a tool for a truly appropriate organizational solution is neither the exclusive domain of the buyer or the seller, but often a shared culpability.” To her credit, Maria Ogneva of Attensity360 straightforwardly notes that analytics and monitoring tools cannot substitute for a business strategy.
How can we keep the people and culture challenges in organizational focus while deploying analytics in SCRM? As Christian Finn, Microsoft’s Director for Collaboration and Enterprise Social Computing, recently noted regarding Microsoft’s use of Sharepoint 2010, “Solve a Problem, Don’t Deploy a Technology”. To get more specific, ready the organization to solve bumps in the customer experience in a seamless way first.A good customer experience can be delivered without SCRM technology, as the video below by Jaffe Juice makes clear in relationship to an experience with Starbucks and Foursquare.
Frequently a seamless customer experience will needdelivering without SCRMsince the customer’s job demands application of a barely repeatable process.Or, as Sig characterizes barely repeatable processes over at Thingamy,” The activities that employees spend most of their time on every day”.
Over the past five years my thinking and work focus is on the strategic importance of dialogue between businesses and customers. The potential of social software, specifically social media and also Social CRM, to extend dialogic opportunities between the wants and needs of customers and the way companies meet those wants and needs with products and services intrigued me from the start. On several occasions I’ve discussed dialogue in relationship to organizational self-orientation, open innovation, brand strategy, and learning.
As I recently noted,
A dialogue strategy builds on the assumption that companies learn more from customers when customers learn from them, and doing so benefits both. I increasingly think it provides a basic framework to think about, and consider as part of your experience design strategy, when relating to customers. Thought leaders increasingly refer to the challenge as social business design.
The overall premise of this way of thinking rests on the idea that consumers and customers, as well as others with influence in a company’s ecosystem, are gaining increasing power to affect the meaning and value of brand offerings as well as the evaluation of operating assumptions. As a result, strategic efforts of organizational transformation are inevitable for most companies. Dave Evans puts it well,
Social CRM involves multiple elements, linked together, to provide an end-to-end understanding of how your brand, product, or service is received in the marketplace and how your internal processes produce and deliver experiences that drive this reception.
We’ve been talking to customers over the phone for how long? Exactly! So, what’s the difference? Sure, social platforms are more public. But, does the public nature of the channel automatically turn us into bumbling idiots that are going to trash our company’s brands in 140 characters?
Barry seems to make the point that you don’t need to know how much influence a customer exercises in your ecosystem to provide them with services. I certainly agree with him on that point, and I’ll offer a personal account about why later in this post. However, in my view, Barry draws the wrong conclusion from the point. He paraphrases a quote from Frank Eliason at a recent SOCAP conference when someone asked about influencers and influencer analysis. Frank, reportedly said, ” I’m in customer service. I don’t care how influential they are. I need to solve their problem. Do you ask who your customer knows before you answer their question on the phone?”
I suggest that the influence of the customer does matter for the business supported, but not necessarily for delivering customer service alone. Along the same lines, Paul Greenberg notes in his consideration of the concept of Social Relationship Management developed by Brian Solis,
Measuring the whispers gives you some idea of how influential someone can be or how fast a trend can grow or what kind of chatter is spreading about your company — good or bad — and who is spreading it….
…Optimally, using these measures will help you gain some insight into individual customers and their particular influence. If you then provide them with the personalized products, services, experiences and tools they need to sculpt their own relationship with you, because the customer is prone to trusting “someone like me”, it is entirely possible that they will think of your business as a “company like me.”
Influentials matter, especially if they are one of your customers, or even a brand advocate, since they can help you flip the marketing funnel through word of mouth. These opportunities do not reduce to the goals of Public Relations, or marketing, or sales, or operations, or any other specific functional area of a business. The interrelationships are too important for specific functional areas to adopt tailored solutions to their own processes and add the word Social as an adjective, as Mitch Lieberman’s comment on Barry’s post makes clear.
Any strategy needs to support cross-functional goals and objectives which, I think, makes it essential to create or take advantage of new dialogic opportunities, or existing ones, in the business ecosystem. Not doing so, or simply approaching Social CRM as a solution, threatens to fail in an analogous manner as CRM itself did, treating relationships as transactions. Perhaps a cautionary tale about CRM can convey the point. I offer the following anecdote of my own recent experience as a customer of a technology service provider’s CRM system. Note that my experience was a social one, even though the business, XO Communications, doesn’t seem to recognize that social channels exist, nor does it seem capable at managing communication across channels with customers.
Grocery shopping is one of those chores that we all have to do from time to time. I’m introducing the topic of grocery shopping as a service journey not because the concept is new. In-store ethnographic studies, and shop-alongs, implicitly recognize the concept. Few people who analyze what grocers do, and how people who shop in their stores get the job of buying groceries done, would be surprised that it is a journey. And, of course, the journey starts in the shopper’s home, which Tesco’s Fresh and Easy discovered the hard way when they expanded from the United Kingdom to the United States. What I want to do here is provide a brief, high level history of the U.S. grocery shopper’s journey, and key transformations of that journey, to establish the context for my next post.
Other than time, money, and typically transportation, two pieces of technology are critical to the journey we take as we shop, especially for groceries. We must collect items around the store and move them to the checkout counter. Once our grocery items are checked out and we pay for them, we must move those groceries from the store to our source of transportation. For many of us that transportation consists of an automobile, or other vehicle; for others it may be public transport.
A partial solution to the challenge of collecting items around the store came with the invention of flat-bottomed paper bags by Margaret Knight in 1870. However, it really wasn’t until Walter H. Deubner, a grocery store owner in St. Paul, Minnesota, created a shopping bag in 1915 (a paper bag with a cord running through it for strength) that a workable solution to the challenge of collecting and moving items from shelves to the checkout counter came along. The Deubner Shopping Bag carried up to seventy pounds of groceries. In other words, at least initially, the grocery bag was supplied before customers began to shop.
The invention of the shopping cart by Sylvan Goldman in 1936 provided the basis for changing the shopping journey. Consider the problems he faced in persuading shoppers to change their shopping journey.
Goldman’s concept was simple: make shopping easier for the customer and they’ll visit the store more frequently, and buy more. Unfortunately, the customers didn’t want to use the carts. Young men thought they would appear weak; young women felt the carts were unfashionable; and older people didn’t want to appear helpless. So, Goldman hired models of all ages and both sexes to push the things around the store, pretending they were shopping. That, and an attractive store greeter encouraging use of the carts, did the trick.
Paid female model pushing shopping cart.
By 1940 shopping carts had found so firm a place in American life as to grace the cover of the Saturday Evening Post. Supermarkets were redesigned to accommodate them. Checkout counter design and the layout of aisles changed.
As a result, shopping bags were relocated in the shopper’s journey, with the exception of small bags for produce and other perishables. The invention of plastic bags later on added another alternative for bagging, in the produce section as well as the checkout counter, and it was a cheaper direct cost than paper.
Today, the result of these basic technologies for supporting grocery shoppers makes the experience much easier, no doubt less stressful on the back and shoulders than carrying heavy bags around the store while shopping. My next post focuses on the current transformational challenge facing the grocery shopper’s service journey through the diffusion of reusable bags.
Marketing, especially social media marketing, and learning, including organizational learning, are both essential components of a dialogue strategy for customer experience design and management. A dialogue strategy builds on the assumption that companies learn more from customers when customers learn from them, and doing so benefits both. I increasingly think it provides a basic framework to think about, and consider as part of your experience design strategy, when relating to customers. Thought leaders increasingly refer to the challenge as social business design.
Given the maturity and diffusion of social media, a dialogue strategy provides a framework to discuss communication as an ecosystem, whether addressing collaboration, innovation, segmentation, sales, customer service, or brands. The key to the process is understandingcustomers, attractingthem, engagingthem with sales in mind, empowering them to solve your product and service problems, and learningfrom them to improve products and services, thereby strengthening your brand. It is not simply segmenting them, targeting them, driving them through interactions, and transacting with them through sales.
Over time, people buy things they need from you rather than someone else because they want what you offer, and because they feel an empathic connection, i.e. that you understand them. From my reading, Wim Rampen’s contention that we need to use segmentation the customer’s way gets to the heart of the point. The challenge of learning how to make an empathic connection increases to the extent that CRM (customer relationship management) aims to align customer engagement directly with business transactions.
Those looking for a direct, sustained connection between customer engagement and sales from Social CRM are expecting too much in my opinion. The key question is whether you know that Jane Smith who called for support tonight also chatted with one of your people earlier, or posted (or tweeted) something positive or negative about you on her blog, or posted something about your product/service to a how-to community forum. Knowing any of those things about Jane’s activities and experiences with your brand increases the potential for empathic connection between your people and Jane, meaning your understanding of what Jane needs from your products/services increases.
It would be nice if a monitoring platform could listen for you and, just automatically, determine how influential Jane Smith really is in the scheme of things. It might be nice to have a social media management system that just took care of everything, gauged the influence of anyone commenting about you online, ranked their value relative to your brand, and prioritized the level of response needed. However, in the near term, regardless of how much we want that panacea, your employees, or outsource partners, are going to need to engage with your customers as though their problems are your own.
Nestle’ can speak to that issue recently. It is important to note that the Nestle’ example is not the first time a company’s supply chain management, rather than a product or service per se, came under organized criticism. Nike and Shell, among others, found their own supply chain relationships under fire over the past decade. Indeed, Shell’s early experiment in 1998 with a blog called Tell Shell came under such negative commentary from the public that the company shut it down. Nike, on the other hand, engaged the debate and incorporated the criticisms into its business model, I’ll leave it to you to decide which brand strategy makes the most sense for customer relationships.
One of the most visited posts on this blog is titled, Empathic Research Methods and Design Strategy. Indeed, if you google or bing “empathic research”, the post pops to the top few links, or vey close, often even ahead of IDEO. My aim in that post was to add to points made by Adam Silver, a Strategist at Frog Design, noting that globalization and digitalization in the 1990s resulted in product and service interfaces with more culturally diverse and geographically distributed customers. The combination of these economic and social forces led designers to search for new methods to augment artistic intuition about form and function. Considerations of form and function also required attention to feel, emotions, features, and interactivity attuned to the needs, wants, and beliefs of users/customers. The power of ethnographic research to discern empathic insights by observing and interpreting people’s cultural activity is now widely recognized.
Recognizing the implications of globalization for design and marketing is certainly not new. The now classic book, The Design Dimension, by Christopher Lorenz, explained the crux of the point as early as 1986. Lorenz noted that,
…globalization does not mean the end of market segments, but their explosion to worldwide proportions. Far from declining, the number of market segments may actually increase…Though industrial designers frequently can – and do – substitute for the absence of marketing imagination. In most companies the most potent force for imaginative marketing and product strategy is a real partnership between marketing and design (pp. 146-147).
The significance of Lorenz’ point came back to me recently while reading “How does our language shape the way we think?“, by Lera Boroditsky, an Assistant Professor of Psychology, Neuroscience, and Symbolic Systems at Stanford University. Boroditsky’s research into language and thought complements a key point made in Malcolm Gladwell’s book Outliers, Gladwell informs us that one basic reason exists for the tendency of Chinese students to outperform others in math skills. Quite simply,
Take a look at the following list of numbers: 4,8,5,3,9,7,6. Read them out loud to yourself. Now look away, and spend twenty seconds memorizing that sequence before saying them out loud again.
If you speak English, you have about a 50 percent chance of remembering that sequence perfectly. If you’re Chinese, though, you’re almost certain to get it right every time. Why is that? Because as human beings we store digits for about two seconds at a time. We most easily memorize whatever we can say or read within that two second span. And Chinese speakers get that list of numbers—4,8,5,3,9,7,6—right almost every time because—unlike English speakers—since the Chinese language allows them to fit all those seven numbers into two seconds.
Whereas Gladwell’s interest is in the way language and culture affect our view of talent, Boroditsky is interested in whether, and how, language shapes the contours of thought itself, the kinds of questions people who speak a language are able to ask, and the kinds of significant symbols they recognize. Boroditsky’s research looks at an old question, and controversy, in anthropology and sociolinguistics — the Sapir-Whorf hypothesis.
You know social networking is going mainstream when service companies like Roto-Rooter start using it. My sewer line backed up yesterday and I called Roto-Rooter to clean it. The guy came out like always, did the job, and I paid him. As he handed me the receipt he also gave me a flyer that asked me to go to either Google, Yahoo, Citysearch, or superpages.com and write a review of the service. Once a week Roto-Rooter selects a name from the reviews submitted on any of these search engines and refunds the cost of the service. It doesn’t say whether the selection process is random or related to the sentiment of the review.
I was a little surprised that such an old-world service like plumbing would encourage customers to review their work. I guess that impression comes from a recent review I wrote on Yelp about another plumbing companyin St. Louis. My review was far from flattering. Anyway, I thought Roto-Rooter’s engagement of social networking interesting enough to check out their activity. Sure enough, they have a blog that Paul Abrams, the Public Relations Manager, updates regularly, and Roto-Rooter maintains a presence on a range of social network channels. From their blog,
I’ve known Steve Finikiotis over at Touchpointsfor some time, and especially appreciate his concept of the Validation Principle. I’ve seen the Validation Principle at work in my own experience managing online communities, as well as participating in many online communities. The key to any online experience is engagement, and engagement means relating empathically to other people in a way that they appreciate. Steve recently outlined the relevance of the Validation Principle to Twitteruse, and other social media, in a succinct way.
If you use Twitter or any of the other social networking tools, you’re bound to notice how much people crave acceptance and appreciation…Its obvious that people like being shown appreciation, but there’s more to being appreciated than meets the eye…When we’re validated by others, we’re inclined to bond with them. I call this the Validation Principle, and it’s one of the keys to building durable customer relationships.
The bond Steve is alluding to is a key part of any successful customer community. It contributes significantly to a community’s duration. Developing such bonds though is not an easy process, requiring time as well as attention. It involves learning from customers, and it involves their learning from your actions in relating to them.
Rule number one in managing customer communities is don’t fail to listen. Additionally, failing to recognize that customers know you are listening but feel like you just aren’t hearing them is equally damaging. Sometimes it is possible to listen effectively in an online community itself. Other times, you may need to actually do research to directly engage and validate passive members who mostly consume content (sometimes referred to as lurkers) to really understand the dynamics of an issue playing out in an online customer community.
What have you learned from engaging passive content consumers in customer communities?
My last post discussed the Open/Closed culture fallacyin social business design. I made the point that leaders of large corporations are typically unable to answer the key strategic questions posed by David Armano of the Dachis Group in a recent important post, Re-designing Your Business Culture. Among other questions, David asked:
Do we want real connections established between employees, customers, partners?
How can we reward those in our ecosystem who actively contribute?
Do we actually want to engage those who want to engage us? Can we?
As this post’s subject indicates, my interest here is to explain how social network analysis, applied to the ecosystems of organizations, helps apply social business design in a manner that avoids the fallacy of open/closed business cultures. We can’t know how open or closed a business culture is until we research, analyze, and understand both its formal and informal networks.
This post continues David’s line of thinking by considering a combination of two of his strategic questions in light of the open/closed culture fallacy. I also take a stab at noting how to answer his last question.
My first corporate position carried the title Methods Analyst,working for a large billing center serving a telephone company.One of my main tasks in that role involved learning how other employees performed their work and documenting it. On each project I typically spent several hours observing people work (what some today call rapid ethnographyor guerilla ethnography) and then did in-depth interviews of the people I observed. Usually, at the end of my observation, I took responsibility for doing the work for a brief time under their watchful eye. In some sense you could say my work required me to continuously cross trainin other people’s work, analyze the process, and write it up in a technical document. The main insight I took away from that experience was an appreciation for the importance played by empathy in effective collaboration.
First off, collaboration isn’t just about people sharing information to achieve common goals. Collaboration is about people working with other people to achieve common goals and create value. Advocates of Enterprise 2.0 sometimes make the fundamental mistake of arguing that collaboration is really only about achieving business goals, leaving the implication that incorporating social software into the work flow of organizations is sufficient. Even though goal-orientation is a big part of collaborating, collaboration requires more to achieve goals effectively. It requires shared experience. As Dev Patnaik and Evan Rosen recently noted, empathy and collaboration go hand in hand.
Vendor Relationship Management (VRM) is a term used by Doc Searls and other members of ProjectVRM to distinguish market relationships between vendors and consumers where the latter gain increased control over that commercial relationship. Building on the VRM concept, Jeremiah Owyang recently noted that VRM offers a potential future for public relations agencies in which the future of PR is in representing communities rather than brands. As Doc recently declared,
We therefore resolve to avoid all relationships in which the privileges of loyalty are determined entirely by the seller, and to construct new terms and means of engagement that will work in mutually constructive ways for both customers and sellers, for the good of all.
So, in the spirit of the Declaration of Customer Independence recently outlined by Doc, I offer the following turn of the century anecdote for thinking about Customer Managed Relationships (CMR).
As noted in a previous post, the promises made by brands are increasingly judged on whether they converge with the customer experience across channels of service in organizations. The challenge is a longstanding one for all organizations. However, the increasing adoption of social media makes the challenge more pressing as word of mouth (WOM) from customers, suppliers, competitors, or others amplifies their ability to communicate their experience with your brand to others. Word of mouth communities and networks using social software are increasingly spread over regional, national, and international borders, making them much more important to those who market branded products and services, online and off.
Speaking the language of customer-centricity is not good enough. Companies must talk-the talk and walk-the-walk for brand strategy. Brand strategies are most effective when based in the design and delivery of business services themselves. Listening to the conversations people engage online about a topic (such as your brand), and eliciting the participation of those people in the development and refinement of products and services, are two key parts of an experience design strategy. Even though you may think this is a “Duh!” insight, consider recent findings on the engagement gap.
…believe that data about their customers (94%), brand (91%) and employees (88%) are important or critical to long-term decision-making. However, strikingly low percentages of CEOs say they have comprehensive information in these and other critical areas that contribute to organisational agility. Just 21% have comprehensive information about the needs and references of customers and clients. Less than one third feel they have all the information they need about reputation (31%) and the views and needs of employees (30%).
Not surprisingly, the ability to anticipate customer needs is the widest gap between the information CEOs report they need to make decisions about the long-term success of their businesses, and what they currently possess. This post explores the Cynefin (pronounced cunevin) Framework as a helpful approach for thinking about the importance of dialogue with customers in efforts to bridge insight and action.
The topics discussed at Skilful Minds fall in a range of challenges involved in translating strategic business goals, and the complex needs of people, into exceptional experiences, for employees who provide products and services and those who consume them, whether the latter are customers, users, learners, or just plain people. Commentators and practitioners of experience design tend to focus on the latter while largely ignoring the former. A few recent posts by influentials speak directly to these concerns and merit specific attention for their insights into experience design and brands.
The underlying theme is that brands are not simply about the way customers view products and services. The way employees engage customers in the design, development, and delivery of those products and services is also crucial to brands. However, exhorting employees to live the brand and talk customer-centricity is a prescription for failure when isolated from transformational changes to a company’s engagement with customers.
At least since publication of the Cluetrain Manifesto, with its meme that markets are conversations, observers noted the importance of what customers say about a brand, online and off — but especially those online. However, a somewhat subtler point from Cluetrain is increasingly relevant to brands and social media. The point was made in the book’s Thesis 39: “The community of discourse is the market.” In fact, the thesis actually consists of several ancillary ones: Read the rest of this entry »
I’ve been meaning to write about Dan Saffer’s Masters Thesis since reading it a couple of years ago. A recent post by Mike Kuniavsky provides an opportunity to do so. Also, it appears that Dan left his position at Adaptive Path to found Kicker Studio, a product design company. In The Role of Metaphor in Interaction Design, Dan noted that metaphors help users/customers understand new products and services by providing cues that orient and personify the experience of the familiar with the new.
In other words, metaphors help us understand one thing in terms of another by highlighting similarities between the two, while at the same time implicitly recognizing differences. Dan also added that metaphors introduced to facilitate adoption of a new product can also limit its innovation in other ways. He specifically pointed to the Workspace is a Desktop metaphor, which conceptualizes the computer as an office tool primarily. I would add that the metaphor contributed to the myth of the paperless office by obscuring the differences between desktops and graphical user interfaces. Specifically, Dan contended that,
it could be argued that the desktop metaphor has hindered the development of ubiquitous computing as much as some hardware factors (p.22).
At the same time, he observed that the desktop metaphor was much more effective in gaining the widespread adoption of computers when compared to the previous metaphor, i.e. computers as programming environments. He recommended that whenever designers use a metaphor in a new product they need to begin with what is new, the subject of the metaphor, rather than what the metaphor refers to. In other words, don’t force functionality into a metaphor. Use the metaphor to support a concept rather than the other way around. The point builds on the design principle of Cooper, Reiman, and Cronin in About Face 3.0 to, “Never bend your interface to fit a metaphor” (p. 279).
Keeping up with social media is a real challenge these days. However, one theme seems constant whenever you read blogs about social media, especially among marketers and so-called optimizers who target, target, target to drive, drive, drive customers to their client’s social media asset, i.e. video, blog, community, etc. You would think advocates of social media are Rowdy, Gil, Jed, or one of the other actors on Rawhide.
A few weeks ago, we drew from the 2008 Tribalization of Business Study, sponsored by Beeline Labs, Deloitte, and the Society for New Communications Research, to discuss the gap between the importance many enterprises attribute to the development of communities and the accompanying investment in that engagement strategy, whether focused on internal stakeholders, or externally on customers.
We noted that the findings of the Tribalization study point to a Community Gap. Yet, drawing from Rachel Happe, we also pointed out the differences between the conversations characterizing social media and the conversations of a community. The distinction is important to keep in mind when considering an overall strategy for connecting with and engaging people online, whether they are employees, suppliers, or customers. After reading two recent research efforts, one from Fleishman-Hillard and the other from Forrester Research, it is clear that the Community Gap is one manifestation of a larger gap, the Engagement Gap. Read the rest of this entry »
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Skilful Minds discusses Experience Design
and the ways it matters to client stakeholders, whether users, consumers, customers, learners, or just plain people.
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