The importance of empathy for design research, organizational collaboration, and language is one of my major focuses. The relationship between empathy and collaboration is a topic I’ve covered in a range of posts over the past few years. One post in particular, drawing from the Open Empathy Organization concept of Dev Patnaik’s Wired to Care, focused on how empathy improves the overall communication patterns in organizations.
Organizations, for-profit or not-for-profit, which ignore the benefits of using empathy as an organizing principle do so to their own detriment. The point is especially relevant to global companies that mandate a lingua franca. Companies currently mandating English as their lingua franca (ELF) include Daimler AG, Kone Elevators, SAP, Siemens, Philips, Nokia, Alcatel-Lucent, Nissan, Technicolor, Rakuten, and Microsoft in Beijing, among others.
The trade-offs in deciding whether to implement ELF are pretty well known. Pressure from other global players such as suppliers, customers, partners, and competitors who increasingly use English is one. Diversification of organizational tasks across departments in different countries creates bottlenecks without a lingua franca, increasing inefficiencies. A third reason relates to making mergers and acquisitions among global companies smoother in organizational terms.
Actual research into how ELF affects collaboration within distributed teams with members from different mother toungues and national cultures is less abundant. The following discussion looks at some recent research into the way ELF actually affects distributed team members of global companies.
However, before looking at the research, a brief review of the debate about ELF is useful to put the research into a broader context. Most of the points (pro lingua france and con lingua franca) below are drawn from a debate between Maury Peipert and Karsten Jonsen of IMD.
What do you think the typical manager might say if you told them their employees don’t gossip and engage one another enough in social interaction at work?
Most managers know about the water cooler effect. However, not enough understand the meaning of the concept and how it relates to performance and collaboration. People thinking about how to support collaboration and performance need to keep in mind the simple fact that employees don’t only gather around the water cooler or coffee pot to get a drink. They often use getting a drink of water, or a cup of coffee, as a pretext for taking a break, and information sharing happens incidentally as they interact in that informal process, sometimes playfully, with their peers and, in exceptional organizations, their managers.
A couple of studies released this summer dealing with performance and collaboration in teams merit consideration in this regard. Not so much for what they specifically say about performance and collaboration as much as what they imply about the importance of social relationships to both.
The consulting firm RW3 recently released a study of distributed teams, reporting that “40 percent of members on virtual teams believe their groups are underperforming”. We previously discussed such distributed teams, noting that team members often disagree with team leaders about who is, and is not, on the team. Michael Schell, CEO for RW3, noted in Chief Learning Officer magazine that, of the teams studied, “Half of these teams never meet in person…They don’t get time to create any kind of rapport, which is very important when you’re working across cultures.”
While the RW3 research points to a salient issue in distributed teams, it fails to acknowledge that merely recognizing and talking about the impact of cultural variation on performance and collaboration, whether in informal online meetings or in training, fails to address the main issue. Members of distributed teams perform more effectively when they understand one another as people as well as employees. Specifically,
Collaboration means getting to know that other employees possess expertise on this or that topic, but also developing comfort with one another by sharing significant symbols relating to self, family, friends, and social activities, thereby understanding one another as people.
Merely orchestrating virtual water cooler meetings on a regular basis does not address the issue, especially when management coordinates the meetings. As I observed in a previous post on the importance of empathy and collaboration to social business design,
People who identify with one another are more likely to share information proactively, without waiting for others to ask for it, because they understand how their own work relates to that of other people and see the flow of work from multiple points of view, spanning silos. Too many social computing experts view collaboration from within a command and control prism, assuming people collaborate because coordination and communication are part of their job description.
Effective collaboration really requires proactively sharing information with those it affects, not simply reacting to information requests. It means anticipating the future impact of actions you take on the responsibilities of other employees or business partners, or the needs of customers. People really don’t do this well unless they see other employees, and customers, as people too. Indeed, this is one of the main reasons that social networks increase in importance as collaboration decreases as a face to face activity.
Recent research on collaboration, performance, and job satisfaction in co-located teams provides useful findings to consider in thinking about what social networks add to the mix in distributed teams.
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”.
Harold Jarche recently offered a framework for social learning in the enterprise in which he draws from a range of colleagues (Jay Cross, Jane Hart, George Siemens, Charles Jennings, and Jon Husband, all members of the Internet Time Alliance) to outline how the concept of social learning relates to the large-scale changes facing organizations as they struggle to manage how people share and use knowledge.
Harold’s overall framework comes down to the following insight,
Individual learning in organizations is basically irrelevant because work is almost never done by one person. All organizational value is created by teams and networks. Furthermore, learning may be generated in teams but even this type of knowledge comes and goes. Learning really spreads through social networks. Social networks are the primary conduit for effective organizational performance…Social learning is how groups work and share knowledge to become better practitioners. Organizations should focus on enabling practitioners to produce results by supporting learning through social networks.
Indeed, Jay Cross suggests that the whole discussion needs framing in terms of collaboration, and I tend to agree. Yet, saying social learning occurs largely through collaboration means delving into the subtleties of how social networks relate to the organizing work of project teams as well as to their performance. After all, much of the work done in Enterprises involves multidisciplinary teams, often spread across departments, operating units, and locations.
One of my earlier posts posed the question Who’s on Your Team? to highlight the importance of social networking to establishing team identity and enhancing knowledge sharing across distributed, multidisciplinary teams. Its focus was on the importance of social software applications in the Enterprise to the ability of distributed project team members to recognize who is on their team at any point in time, and who isn’t. Organizational analysts refer to the challenge of establishing team identity as a boundary definition problem for teams, when members are spread across large distances whether geographic or cultural in nature.
Courtesy of Wonderfully Complex’s photostream on flickr.
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. The recent buzz around the concept of social business points to the growing importance of social networks and communities to the evolution of business practice. Whether companies are in fact closing the community gap or the engagement gap remains an open question though.
As Rachael Happe of the Community Roundtable notes in commentary on the Community Maturity Model:
in the stages before a company becomes truly networked, metrics are isolated to supporting one business process vs. in a networked business the whole business becomes social and the communities are set up to support cross-functional goals.
In other words, customer communities approaching maturity produce value for the business, or organizational enterprise, rather than only a specific functional area – such as research and development, product management, customer support, or marketing. Rachel’s overall point receives validation in a recent article in the September (2009) issue of the Journal of Marketingthat reports on long term ethnographic research on brand communities by Professors Hope Jensen Schau, Albert M. Muniz, Jr., and Eric J. Arnould, “How Brand Community Practices Create Value .” The most interesting thought in the article for me is their point that customer competencies are a valuable resource for building co-creation opportunities in brand communities.
Unlike earlier discussionsof customer competence, Schau, Muniz, and Arnould contend trying to co-opt customer competencies is the wrong strategy. Rather, their research findings suggest community management benefits from developing opportunities for customers to grow their competencies with the brand. They make it clear that their research indicates,
Companies wishing to encourage co-creation should foster a broad array of practices, not merely customization.” In other words, don’t try to keep the community focus only on what benefits the brand as you define it. The important point to keep in mind when discussing value in brand communities is that members create value for themselves through producing cultural capital distinguishing their status relative to the community, aside from the ROI and business value gained by the company owning the brand. Making sure members are provided opportunities to grow their competencies encourages them to reinvest their cultural capital in the brand community.
I discussed co-creation in several posts this past year in relation to eLearning 2.0 generally as well as Nokiaand, back in 2005, its overall importance to the challenge of creating successful innovation, including the relevance of customer communities to innovation outcomes. The concept of customer competencies captures the overall significance of co-creation for efforts to produce value through engaging customers. However, Schau, Muniz, and Arnould offer the additional insight that the competencies critical to brand communities are developed through community practices. By practicethey mean the linked, implicit way people understand, say, and do things. The term is further used to refer to the activities, performances, and representations (video, graphics, etc.) or talk of community members.
Experience designers can use the concept of customer competencies to inform choices about how to manage practices in customer communities. Read the rest of this entry »
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.
I first took real notice of the term “social business” in a post early this year over at Peter Kim‘s blog. The concept of social business is not limited to those enterprises seeking to “generate social improvements and serve a broader human development purpose,” though these are certainly admirable goals. Rather, social business is increasingly discussed as a frame of analysis for considering the business implications of large numbers of people using web 2.0 technologies, especially social media, within corporate enterprises as employees, or outside them as customers.
Channels, policies, processes, touch points and transactions are increasingly viewed as parts of the social experience organizations use to engage employees in collaboration, and customers in conversation. The common goal of the discussion involves transforming business practices to incorporate social relationships into the value proposition to customers and other stakeholders.
My recent reading of Wired to Careby Dev Patnaik (with Peter Mortensen) provided some basic insights for me in thinking about the development of social business practices. I highly recommend it to anyone with an interest in the intersection of experience design and organization. The book explores the concept of empathy in a manner that speaks to the social business discussion by pointing out that the result of a transformation is more than adoption of new technologies such as social media.
Wired to Care offers an approach to organizing business as well as creating design insights on how to engage customers to improve products and services. One of my earliest posts on Skilful Minds, Break the Golden Rule with Customer Dialogue Support, offered the following observation,
Many “customer care” approaches call for treating customers the way you’d like to be treated—the so-called Golden Rule. Treating customers the way we, as service providers want to be treated implies that we inherently know what’s best for them. A customer dialogue approach alternatively assumes that customers know, or can quickly learn, what’s best for them as individual customers. We need to treat customers the way their actions indicate they want, not the way we would want to be treated as a customer.
ReadingWired to Care persuaded me that my previous point only moved the discussion a part of the way to an understanding of the nuances of the Golden Rule for business. Wired to Care offers an interesting point of view on the limitations inherent in the traditional understanding of the Golden Rule, while contending that a full appreciation of it reveals truths about us as individuals, and our relationship to organizations, whether as employees or customers. It outlines three levels of the Golden Rule:
“Do unto others as you would have them do unto you” — the most basic level with limited efficacy unless people share the same view of the world
“Do unto others as they would have done to them” — requires increased empathy to distinguish the wants and needs of individuals
“Do unto each other as we would have done unto us” — provides for empathy by focusing on “how we’d all like to be treated, inside the company and out,” yet also recognizes that good business practice might additionally require treating people “better than they expect to be treated”
Dev contends that the third level of the Golden Rule provides a basis for integrating empathy into the everyday practices of organizations. Though he does not use the term social business, Dev’s analysis offers a foundational strategy for implementing social business through the concept of an Open Empathy Organization.
Skilful Minds discusses Experience Design
and the ways it matters to client stakeholders, whether users, consumers, customers, learners, or just plain people.