In Digital Transformation, Culture Change Goes Hand in Hand with Tech Change

I’ve spent a lot of time in the last few years identifying the best approaches for that urgent enterprise topic of our time, digital transformation. When I first started, I often looked to top examples of organizations that have started the transition and made good progress (see sample case studies below.) More recently I’ve derived insights from my work directly with a number of organizations on their individual transformation journeys.

Ultimately, however, I have determined that the short answer is one you that might expect: There is no single blueprint for transformation that works well for everyone.

Instead, the right steps very much depend on the organization itself. We also know now that there are indeed common success factors we can apply, if we can adapt them to our organizations. Generally, I’ve found that the best method is to employ heuristics on an established framework that takes an organization’s industry traits, cultural inclinations, organizational strengths/weaknesses and uses a generative process to create a starting point for change.

The resulting adapted framework is informed by best practices and industry lessons learned so far. A good place to start for these is Perry Hewitt’s 10 best practices for digital transformation which she developed when she was Chief Digital Officer at Harvard.

The framework is balanced so it neither focus on technology or change management. In fact, the starting point must be one that steadily shifts both the technology foundation and the people of the organization in unison towards both planned goals and emergent opportunities. This starting point then continues to evolve as it learns from early experience. The overall process usually works best when realized on a supporting platform that enables open communication, enterprise-wide learning, digital channel leadership, stakeholder empowerment, and enablement of a network of change agents across the organization. This is the change platform I’ve been discussing in the industry lately, and is typically an online and offline community of practice.

The Stages of Culture Change for Digital Transformation

Rapid, Sustainable Digital Change Requires a Platform

Having an effective change platform is critical, as it’s the people side of digital transformation that is the hardest part by far, which we can clearly see from a great set of recent data by Jane McConnell. By far, the most significant challenge is getting the organization to collaborate across functions and silos, given disparate priorities, timelines, and lack of mutual familiarity. Without this, fragmented results and disjointed digital experiences are too often the outcome. It’s only by having a common and participatory venue to discuss, plan, and execute that effective transformation can take place. Thus, as Ron Miller has noted: Digital transformation takes true organization-wide commitment.

I typically employ a cultural change map — generically presented above, but adapted to the specific organization — to communicate some of the key aspects of mindset that has to shift to support digital transformation efforts.

The digital transformation effort then uses strategic education, mentoring, and specific activities (these might be hackathons, MOOCs, certification efforts, reverse mentoring, and #changeagents outreach) to proactively shift mindset across the organization and build the requisite digital skills and ideas. These include counter-intuitive notions that can be hard to otherwise learn: Designing advantageously for loss of control and using the intrinsic strengths of digital technology to change more rapidly and scale out faster.

As the organization comes together and engages together on the change platform, it then generates the framework to identify their starting point and guide the ongoing process using rigorous measurement and action-taking, which are two other key success factors, though proactive communication remains the most important action to take (again, why the change platform is so critical).

An Adaptable Framework for Digital Transformation

Communication isn’t sufficient by itself however. Effective action is required. The digital transformation framework above is therefore also very focused on day-to-day operations supported by an ongoing redesign of core business processes that is adjusted continously through early data from careful measurement of early prototypes and pilots. Of course, there are more details involved, but this is the high-level process that I’ve both used and seen work at large organizations to close the execution gap and create sustained and successful transformation.

Leading digital transformation case studies

Burberry’s All Encompassing Approach to Digital Transformation

Travelex and Their Digital Transformation: Communicate, communicate, communicate

How Nordstrom executed cross-silo digital transformation for the long haul

How Tesco used a diverse “community of colleagues” to drive digital transformation

Additional Reading

The Building Blocks of Digital Transformation

What Organizations Should Do in the First 100 Days of Digital Transformation

New Methods Leaders Can Use to Drive Digital Transformation

Vital Trends in Digital Experience and Transformation in 2016

This year I was invited again to come to Dreamforce in San Francisco and present on the latest developments in digital experience and digital transformation for the conference’s Emerging Tech Trends track. Surprisingly well-attended given the satellite location of the track at the Hilton Union Square, having to prepare this session is always a good opportunity for me to go over my research in the last year and map out what’s likely going to happen next.

For myself at least, it’s clear that human change has become closely linked to and as important as digital change, so I have divided up the trends list in the last two years into a tech dimension and a human dimension.

The bottom line: How we think, work, and react as people has tremendous impact on the usefulness and effectiveness of emerging technology. It’s what separates the digital native from those who are just beginning the journey. For example, those not inclined to share information won’t get much use from the technologies and techniques of social business, nor will those who are uncomfortable and unused to spending time in virtual worlds be able to take advantage of the rich opportunities of virtual reality. And if we’re not changing our leadership skills to be more network-centric as opposed to hierarchy-centric, then much of the business value of digital experience and engagement is wasted on us. The list goes on.

What’s more, not only are we co-evolving with our tech, but we need to understand how we need to change just as much as the technology is changing. This is required in order to a) understand the art of the possible and b) to be able to access technology’s unique and historic new value propositions.

What's Next in Digital and Social Experience and Digital Transformation in 2016

Another point I make early in the presentation is the technology is changing exponentially right now and has climbed into a rather steep part of the curve, yet our organizations just don’t change on the same curve. Instead, we change far more linearly, at best logarithmically (see slide 8.) That’s not to say that that enterprises can’t organize themselves to change much faster, but in order to do so we must employ fundamentally new ways to transform organizations. Certainly, some organizations are adapting faster and digital transforming more sustainably (see data on slide 4.)

Sidebar: I’ve recently been exploring what these new models for sustainable yet highly scalable models for digital transformation, even proving them out on client projects I’ve been working on over the last few years. The key seems to be a more network-based, decentralized, and emergent approach I’ve called a Network of Excellence.

Emergent Tech Trends Inputs

For this year’s round-up of emerging tech trends, in addition to original research, I used as inputs several items:

Major new additions to the list include digital assistants/bots/chatbots, blockchain, omnichannel, workplace app integration, and collaborative EMRs, along with significant tweaks in a variety of the existing trends.

You can see the whole deck with an overview of each trend on Slideshare. I’ll post any video that is produced as well.

Also, in other Dreamforce news, you can review my live blog of the main Dreamforce keynote as well as my current assessment this week of the Salesforce platform and ecosystem.

Additional Reading

Digital priorities for the CIO in 2016 | ZDNet

The Building Blocks of Digital Transformation: Community, Tech, Business Models, and a Change Platform

The Building Blocks of Digital Transformation: Community, Tech, Business Models, and a Change Platform

I’ve been making the argument lately that the single largest obstacle in successful digital transformation is change itself. Surprisingly, the arrival of new technology is generally not the large hurdle to becoming more digital in a meaningful way, though it certainly represents a large and growing learning curve. Yet learning the new technology is manageable by most organizations in my experience, if they have the will to do so.

Finding the right business models can be a bit more of a challenge, but the process of discovering the best ones is increasingly well understood these days. One somewhat ironic lesson is that we’ve also learned that we usually have to build an audience first, often well before we decide on new digital business models, that are centered around some activity or capability of significant shared interest with the market, before we can experiment and find the right path forward in terms of generating value, such as revenue from sales, subscriptions, advertising, etc.

Online Communities Are the Business Construct That Create the Most Value

From my Enterprise Digital Summit 2016 Paris Keynote Deck

Why Digital Needs a New Mindset

It actually turns out the most important and challenging building blocks for digital transformation is people and the processes that can change them. Thinking in digital terms requires a significant shift in mindset, such as designing for loss of control, understanding the power laws of mass connectedness, the startling revelation that the network will do most of the work, and understanding how open participation is the key to unleashing digital value in scale to our businesses.

However, shifting the mindset en masse of the large number people that exist in the average enterprise (i.e. tens or even hundreds of thousands of workers) is not something that can be done to them, but can only be done with them as Euan Semple frequently likes to point out. So, what’s the single best venue in which to engage significantly in a time efficient and sustainable fashion? I now suggest that the most likely and cost-effective vehicle for this that we know today is online community.

The building blocks of digital transformation is a topic that I recently had time to study in depth as I prepared my closing keynote for the always terrific Enterprise Digital Summit 2016 (formerly the Enterprise 2.0 SUMMIT) in Paris this month.

Step 1: Gather Stakeholders into Communities of Digital Change

The fundamental building block of digital transformation is therefore not technology, but people, a much more challenging proposition. However, if we can somehow connect the collective workforce in the organization together in an effective fashsion to begin a shared and dialogue-based process of learning, understanding, experimenting with, and then carrying out the tasks of digital transformation across the enterprise as a much more aligned and self-supporting way, then we are much more likely to succeed. As I’ve discussed, we’ve even started to witness evidence that IT is shifting in this direction steadily, with the rise of empowered change agents and even unexpected source of pre-existing tech change using forces like shadow IT as a key resource for creating decentralized technology adaptation across the organization.

But it all starts with community, for which I believe the evidence is now clear is the most powerful way of organizing human activity and creating shared value yet developed.

Step 2: Assemble a Modern, Market-Facing Technology Stack

From there, we do need to look at the technology lens at what our business does and how it does it. We can no longer realize all tech change ourselves, as our competitors have already learned that the single greatest force for value creation is capturing and wielding community contributions of customers by the millions via mass co-creation, and business partners by the thousands (see APIs + hackathons). I recently summarized the many other emerging enterprise technologies we must consider all the time as well, but the most important ones are customer facing and involved in co-creation.

We therefore must instead now becoming highly competent in building strong and effective architectures of participation, as most digital leaders harness the vast capacity of the Internet to do most of the value creation:

The Digital Business Stack: Marketplace Driven Engagement & Value Creation

Step 3: Create and Nurture Digital Experiments

From there we can combine people-led digital change at scale with a portfolio of digital engagement and experience technologies and processes — that must prominently include market-facing community — to begin creating, launching, and growing healthy and vibrant new products and services. Growing hacking in fact, has become an important new technique used by top Internet companies to ensure early lift and adoption, and has been a key subject of interest by top technology leaders like Microsoft CEO Satya Nadella. So grow the results of digital transformation this way, then generate revenue:

Digitally Transforming a Business with Growth Hacking, Business Models, and Community

Step 4: Get Serious About Revenue Models

Finally, the last building block is digital business models, which one the service has a successful audience or community, can be experimented with and validated, though certainly some services, such as sharing economy ones, can monetize from the outset, though often at break even levels. Below is a representative list of some of the most common Internet business models, though by no means all the possibilities. For example, there are at least 18 separate known business models for open APIs alone. The high level Internet business models break down like so:

Common Internet Business Models

For a more complete exploration, please view the video of my closing keynote on this subject in Paris on June 2nd, 2016:

Or download a copy of the Slideshare deck that I presented with.

Additional Reading

How IT Can Change For the Digital Era and What Leaders Can Do About It

The digital transformation conversation shifts to how

More Evidence Online Community is Central to the Future of Work

Within the last month, two new industry reports have been released that shed important new light on how we’re going to be organizing and operating our organizations in the coming years. Many of you know my point of view in this regard: Social technology has at this point largely transformed the consumer world, yet the increasingly outdated digital landscape of business frequently continues to rely on creaky and rather limited technologies such as e-mail, document repositories, intranets, file sharing, and so on. So it’s always instructive to see how far we’ve actually come in places, and how much we have left to go.

The first report is The Community Roundtable’s excellent annual State of Community Management for 2016. While I’ll provide a fuller write-up on ZDNet soon, it’s clear from this report that the model of online community continues to rise in prominence and attention as a superior operating model for activities that involve a large number of people that have common interests and need to work together on shared objectives.

As my industry colleague Alan Lepofsky likes to say, without aiming our new digital technologies and cultures purposefully, there is little point.

Key Aspect of the Future of Work: Online Communities Aimed at Shared Purpose

Particularly significant in the report was this year’s exploration on the oft-discussed and little resolved issues of calculating hard return-on-investment (ROI) for community. While in my experience online community is a far superior — albeit still emerging — new way of working for a wide variety of use cases than traditional methods, both internal and externally facing, The Community Roundtable tackled the issue head on in this year’s report to determine ROI from this year’s participants in the survey:

While there is a wide range and many communities do have negative ROI rates that are likely due to their young age, small size or immaturity, many more demonstrate compelling returns that should satisfy stakeholders.

Successful internal communities are more valuable, on average, than their external facing peers and those community programs that addressed both audiences had an ROI in the middle. Overall, communities average an annual ROI of 942% – suggesting that most community managers have nothing to fear from calculating their community’s ROI – remembering that it is the start of an ongoing dialog about value and how to grow it.

The numbers overall are impressive, and shows what I’ve seen consistently: The return on community is not only enough to justify the initial investment and is superior to most competing methods, but is also more than enough to properly fund the ongoing effort with a properly sized team. This especially means dedicated, professional community managers, which are perhaps the top success factor for communities, yet too often neglected in my experience. In short, we can now quantify how online communities and enterprise social networks offer significant value to the typical business. In any case, the numbers make the case on their own:

The ROI of Online Community by Use Case

From here we can see from the data, which Rachael Happe indicated to me recently in a discussion was from their largest sample size yet, is there is serious, immediate, and significant value in both internal and external communities. This continues to validate why online community should be a central plank of your digital strategy, and a core component of your digital transformation efforts.

Also, it’s worth noting that online community is also a key platform for enabling digital transformation, a key topic that came up last week in Paris by many practitioners at the Enterprise Digital SUMMIT, where I was speaking. I’ll explore that issue in more depth as well soon.

The value of social in the back office

The second report is “How social tools can reshape the organization” from the McKinsey Global Institute. Authored by well-known McKinsey partner Michael Chui — whom I finally got to meet recently in New Orleans at the Enterprise150 event — and several co-authors, the report delves into some recent findings on business impact with community and social tools that is worth exploring.

Social Tools and Community Enable Digitization and Performance

Particularly notable was the report’s finding that for any business activity which has been digitized, on average half report that incorporating social improves the digitized process even more, whatever the process. What’s more, specific business activities show a much higher level of improvement if they are digitized and made social, both (see chart above.) These activities include order-to-cash, demand planning, research & development (R&D), supply chain management, and procurement. These aren’t necessary glamorous aspects of our business, like marketing or sales, which are more often associated with social business performance but they are vital and important:

To digitize all processes, both internal and external, the results suggest that social tools can help. For every process where their companies are digitizing and using social tools, respondents agree that social technologies have enabled their use of digital overall. This is true even for the back-office processes where few respondents now say their companies are using social tools. In fact, social’s effect on digitization is greatest for the internal processes where social tools and digital activities are least common.

This data clearly shows that many efforts could be seeking higher levels of easily accessed value in places other than where we’ve traditionally focused. This also means that if you’re already digitizing something, it makes sense to make it social too.

Additional Reading: Enterprises need a (social) platform to drive change

In short, the case of online community is now stronger than ever: More data is available than ever before which shows substantial, sustained, and transformative value can be created by working in more open and highly participative models, as long as we’re sure to connect our activities to purpose. One of the things that struck me most in Paris last week is how many use cases that the latest case studies cite, far beyond simple knowledge sharing and management that used to be the central business case. It’s very encouraging to see our industry reach a new level of maturity and data-based value, though to be sure, there is still much more to do in most organizations.

Restructuring the C-Suite for Digital Business: The Future of the CMO, CCO, CIO, and CDO

I’ve noticed lately what appears to be an emerging trend in marketing and communications leadership in some large companies. Specifically, the positions of chief marketing officer (CMO) and chief communications officer (CCO) are sometimes being consolidated into a single role, even in very large enterprises. Such consolidation has already happened at PG&E, Walgreens, and Citi, and I’ve recently encountered other notable instances as well. This might seem odd at first glance, as specialization of roles is usually emphasized in large entities as expansive purviews tend to be harder to manage.

It actually turns out, for several key reasons, that examining this closer is an interesting — and both useful and practical — thought exercise in how the single vast continuum of digital is putting growing pressure on the traditionally separated functional silos that have comprised most of our organizations for over a century.

This trend, and another like it I’ll propose we’ll see soon, is actually an apparent reversal of what organizations have been doing lately to better organize for technology, which is moving to the very center of how our organization operate and create value. In fact, the proliferation of C-level stakeholders for the rapidly expanding world of digital business has continued unabated in recent years, as chief data officers, digital officers, community officers, experience officers, analytics officers, and other similar C-level tech roles emerge and grow rapidly.

The Consolidation of the CMO and CCO for Digital Transformation

Too many cooks in the kitchen, some might say, but I pointed out last week on ZDNet that digital disruption — a wildly overused yet still quite apt phrase of our times — is now anticipated by most executives within the current planning cycle. The counter argument that is made for proliferation is that we need a lot more leadership on deck to more rapidly adapt our organizations to digital and head off disruption. The imperative is that we now have to a) think more like venture firms and startups, in other words our digital efforts have to move out of the quarter earnings cycle and become long term, while shifting to experimenting and failing fast until finding what works and b) our organizations require digital change capacity that is matched to today’s exponential cycle of technology evolution. Without both, we can’t maintain a sustainable pace matched to the market or reach a successful future state quickly enough.

In fact, what’s often hampering us in fact functional silos, both in our org structures and in our technology. We saw this very painfully with social media and social business a few years ago, and now we are witnessing it writ large as our customer experiences, the vital journey of which is the very lifeblood of our organizations, becomes ever more fragmented and divided across digital channels and our organizations’ operational silos. Customers get thrown over the wall to disorganized and inconsistent experiences as their journey takes them through our marketing departments, sales teams, customer service staff, and product development groups. Increasingly, our attempts to engage with companies as a customer is just ignored as we use new digital touchpoints that is obviously so much better — to us, but still unfamiliar to companies. In short, as organizations, we don’t have the capacity to be everywhere we are expected to be in the customer journey, and as organized today, don’t have a way to get there.

So how does the convergence of top-level roles in communications and engagement solve this problem? By removing a key silo while also adding the responsibility for both internal and external comms. Internal comms in particular is a critical addition, and is a key part of what a corporate communication officers oversee, as they are often the sponsor for the corporate ESN and intranet, essential platforms for organizing change at scale. As gaining holistic and integrated oversight and control of experience management — across customers, business partners, and employees — has become paramount, this merging of roles gives us a way to prevent it from fragmenting across projects, initiatives, technologies, tools, and digital channels. No more dividing internal and external engagement, giving us less inconsistent messaging and responses. In return, we can achieve better internal scale, more unified platforms, policies, and governance. We have one role for primary engagement.

One Likely Outcome of Digital Transformation: A Refactoring of the C-Suite

In other words, with CMO and CCO consolidation, we will have a single top-level org structure that is substantially better suited to oversee engagement across the single continuum of digital. We used to think that digital/social centers of excellence were required to bring together a consistent response to technology. This may be a better answer.

We will see how this trend plays out — and there are still open questions about where secondary engagement such as customer care and product development fit in — so I have begun tracking the industry data in LinkedIn to see if we can confirm a real trend based on my and others anecdotal experience. But from an critical thinking standpoint it makes sense why organizations are doing this.

The Fall of the Chief Digital Officer Too?

Which brings to my second trend, which is that we’ll likely see the same consolidation of function happen with the chief information officer (CIO) and the chief digital officer (CDO). I was initially bullish on the CDO a few years back — and still think they have an important combined innovation and P&L role to play, but as some like Theo Priestley have observed, the role is already under pressure and it’s time is likely to come to an end, at least as a top-level role. It will still exist of course but in this consolidation, would appear under the CIO purview. It now seems likely that many CIOs will merge CDO functions back in for all the same arguments that the CMO and CCO purviews should be combined.

Following this argument, removing silos in our organizations so that we can remove them from our digital products and experiences makes sense on its face. It can eliminate friction, make it possible to scale better, reduce poor execution, and create more shared value. I should point out however, it’s only part of the story for organizing better for digital. While other related topics like the bi-modal/multi-modal conversation seems to have hit a fever pitch, with McKinsey even joining the bandwagon, I think it’s vital that we also carefully consider simpler “digital hacks” to our organization that should be far easy to implement, but would in practice have significant impact.

Consequently, the consolidation of top digital roles into a chief marketing and communications officer (CMCO) and chief information and digital officer is — I now believe — a practical response to the proliferation of C-level digital roles to create the consistency, coherency, and effectiveness we need to change. However, this centralization will be an improvement as long as — and only as — such consolidation is properly balanced by bottom up and grassroots digital change programs, like a network of excellence powered by decentralized change agents, or a formally supported Shadow IT and marketing technology program. Without realizing both C-level role consolidation and networks of change together, sufficient digital scale and capacity will simply not exist for converged leadership to cultivate and guide.

Additional Reading

How Should Organizations Actually Go About Digital Transformation?

The digital transformation conversation shifts to how | ZDNet

How Chatbots and Artificial Intelligence Are Evolving the Digital/Social Experience

Digital engagement is once again shifting, as we can see from the main discussions at Facebook’s F8 conference this week about the new release of Messenger and its smart chatbots, or when we look at what’s happening with popular team messaging services like Slack, which is being “overrun by friendly, wonderful bots.” While bots seem like a minor improvement to digital user experience, some believe — including myself — that a combination of today’s latest technologies will transform this what’s-old-is-new-again technology into a major new force in contemporary digital experience and social engagement.

Over the last couple of years, conversing in everyday language with our digital devices has become relatively commonplace with the advent of widely used digital concierge services like Siri, Google Now, and Amazon Echo. Known more formally as ‘conversational user experiences (UXs)’, this dialogue-based interaction model actually has quite a long history going way back to command-line programs like Eliza and Zork (both of which yours truly spent far too much time with when younger), the first commercial expert systems in the 1980s, IRC bots, and other early examples.

Anatomy of a Chat: How Conversational UXs Add Value

While there’s always been an assumption that bots had a bit code behind them with a little situated intelligence — from performing simple services like scheduling reminders via IM all the way up to the first textual AI-based systems such as MYCIN for helping doctors diagnose infections — most conversational interfaces tend to be relatively simple affairs with a little bit of basic natural language processing connected to a decision tree.

That’s clearly about to change in a major way as the introduction of more powerful forms of artificial intelligence and machine learning are combined with new UX channels like voice, video, virtual reality (and soon enough brain/machine) into solutions designed to assist people in their daily activities. These bots will ultimately be unleashed on a) all of the visible digital data in existence, b) apply vast computing power and cutting-edge algorithms to make sense of it all, and c) provide the ability to use this knowledge to converse with us about the world in a deeply meaningful way.

Siri on Apple devices, the conversational UX I use most, has been able to handle increasingly complex and useful queries over the years, often aided by deep smarts from 3rd party services like Wolfram Alpha. Siri is a good example of the overall progress of general purpose chatbots, but it — and the others like it — are really just the tip of the iceberg. I predict you’ll see chatbots appear in almost every user interface in the near future as a way to almost completely remove the friction between our computing systems and us.

How Chatbots Will Impact Online Community

How will the rise of chatbots with AI affect the most important new digital environments for our organizations, online communities and enterprise social networks? I wondered this recently, in particular how it might affect the highly strategic and valuable role of community management. To explore this more, I posed this question yesterday on Twitter to a couple of top colleagues in the space, Rachel Happe and Carrie Basham-Young, with Constellation’s Alan Lepofsky joining in:

Chatbots for Community Management: A Twitter Conversation with Rachel Happe, Alan Lepovsky, and Carrie Basham Young

Why would chatbots help with digital leadership roles like community management? By being connected to the global activity stream and then assisting in the most fundamental — and therefore most common — community management scenarios. This would offload a very overworked role to handle routine digital enablement like helping users through common issues, basic community skill building, ensuring a basic SLA for questions and answers, and providing coaching to community/ESN users on the fly. Other likely scenarios include capturing community data and reporting on it and providing a queryable interface on community needs, hotspots, and quiet zones to improve social business adoption and drive business performance. Chatbots in this space have great potential in my opinion and we’ll soon see them more and more in the social business world.

How Chatbots and Artificial Intelligence could Help Community Managers

But are chatbots for community management — and other domains of digital engagement — really going to happen? I’d argue that since they already are in many other similar functions, such as Web site sales and support, that it’s almost certain, as a greater share of conversation shifts from human-to-human (H2H) to human-to-machine(H2M.) In fact, an employee from Cognizant even chimed into the above Twitter conversation that they are actually working on this. A smart chatbot to aid in community management will likely do volumes to improve the effectiveness of online communities, which are still getting short shrift in terms of investment in the professional skills needed to manage and facilitate them well.

In short, I believe smart chatbots will revolutionize digital/social engagement by adding a much needed automation and support of communication, knowledge management, and collaboration. There are also high value scenarios for chatbots connected to the e-commerce especially, an area that Facebook was careful to emphasize at F8. Chatbots will likely contribute to some digital noise as well, but filtering has proven effective in general for social environments in recent years. Overall, the emerging ensemble of conversational technologies is going to offer a compelling new access point to digital value for the average people in a very substantial way. At this point, I’d strongly recommend that most organizations add them to the new enterprise technologies to watch.) I will be adding smart chatbots to my upcoming 2016 enterprise tech watchlist on ZDNet as well.

Dear IT Department, Why Community Management Matters

It’s one of the curiosities of enterprise technology: Despite collaboration and engagement being an exclusively human activity — even when augmented and improved by digital tools — it’s the IT department that most often gets put in charge of rolling out said tools and then operating them long term.

According to recent research by the Real Story Group, IT is in fact far and away the most likely the department to both fund and sponsor, as well as implement social platforms in most organizations. Certainly, this seems to make sense, if one looks at social engagement as primarily a technology concern, rather than a powerful new human endeavor and way of working that is only in the end supported by new technologies.

Thus, even though HR, corporate communications, marketing, and other functions are very likely to be primary drivers and have direct input into the strategy for a social business effort, they have very little operational role in making the realization successful or managing it long term. Instead, IT typically treats the entire process like any other technology rollout to the organization. It goes through its tried and true playbook for bringing a new software product into the business, not fully understanding something rather different is required this time.

The Three Operational Elements of Communities: Project, Technology, and Community Management

The primary issue at stake is this: Social business in all its flavors — from social collaboration and social marketing to social customer care and even social supply chain — is not just another communications technology. Instead, it’s focused on engaging people in powerful new ways that requires a new set of digital skills in, yes, an enabling new technology environment. The tools are secondary (though important), how people work in effective new ways is what matters. Most significantly, a new operational entity emerges from this, called an online community, that did not exist before and requires its own cultivation and management.

The initiating business sponsors typically, for their part, are interested in connecting together people and their knowledge in more streamlined, dynamic, fluid, and actionable ways that benefits the work they are doing. It’s the people, ideas, and information they seek to tap into and unleash. But they don’t have the ability or responsibility to manage technology on their own. So they are usually required to reach out to the IT team to make their dreams come to life.

How Community Management Often Gets Left Out of Enterprise Social Projects

It’s at this point where things sometimes go off the rails. I’ve had this experience personally and continue to hear stories like this over and over again from social business practitioners, despite a growing body of evidence that shows what it takes for social business efforts to actually be successful. What I’m calling the “standard IT implementation process” leads too many community efforts to fall into a dysfunctional state that ensures they underperform. Perhaps the most common scenario is this:

  • A sponsor in the business comes to realize that a social business approach can benefit what they do. They seek to build and unleash communities on their business problems, and start thinking about the supporting technology they will need to make it happen.
  • The business sponsor involves the IT department for the technology component. The IT department, already owning a vast portfolio of tools, likely has a preferred solution from an entrenched vendor, instead of looking for the right technology to support the business requirements. Sometimes, if the business sponsor is lucky, a real technology evaluation is done. Either way, IT increasingly owns the project and planning because of the technical details. The business sponsor often loses control over the detailed planning and strategy, as complex technical details and issues start to obscure the original goals. Finding the best enabling environment for the community often becomes an afterthought.
  • The business sponsor seeks to drive forward the people-side changes and organizational support for the new social business effort. Proposals for shifting to new ways of working, providing education on new digital skills, and hiring support staff for the operations are too often to first items to get cut by the IT project committee. The technology should be self-evident, some say. It’s a simple training problem, say others. To almost everyone on the outside of the effort, looking at social business as a largely technology-based roll-out, it’s not obvious there’s a need for sustained workforce learning/skill building, change management of relevant business processes, or that the effort will create a large, new, unguided group of virtual people who are not directly supportable through traditional management or support processes. Because it’s new, few are even thinking about network leadership skills, for example.
  • The business sponsor, talking to social business efforts that were a success, learns about community management, a vital new support function for community-centric ways of working. The sponsor proposes that the company bring a couple of community managers on board, as they have heard they’ve turned out to be so helpful in other organizations. The response, because the request seems (and is) foreign and unusual, is either to deny the requests or offers up part-time volunteers that are currently available, usually interns or other junior staff with little to no experience actually managing large-scale business communities.
  • The big rollout happens, and the community limps along in an unmanaged fashion, with little direction or support. In the community, people ask questions, look for information, or otherwise engage but it often doesn’t go well and there’s no one to make sure it does. Other participants don’t know what to do with the new tools, or when/how to use them. The community often seems undirected and random, not guided or coached towards important business outcomes. With no one to inspire, troubleshoot, educate, and otherwise support the members, the community putters along with occasionally useful, but minor impact.

While I’m singling out IT departments for sometimes not providing the right resources to make online communities successful, the reality is community management, what I’ve long called the essential capability for online communities, can be neglected or underserved by anyone. Yet long-standing research from highly respected organizations like The Community Roundtable have found to be a top successful factor in realizing a social business solution.

Number of Community Managers by Organization Size

Ensuring Success with Social: Investing in Community Management

My advice to IT in order to avoid this scenario — based on many projects I’ve been involved in and many, many case studies — is this:

  1. Any social software that connects more than a handful of people together in a sustained way requires community management. You wouldn’t dream of rolling out an IT application without training or a help desk, or starting a project without project management, so please don’t operate an online community without its own relevant and critical form of enablement and support. Also, make sure you find the right community platform for your users. Note: That’s usually not the product that your incumbent vendor happens to have lying around.
  2. Use professional community managers. Hoping that you can have this strategic capability carried out by junior or inexperienced staff is a leading cause of low effectiveness of social platforms after rollout. While all communities usually have a big spike of usage upon release, there is usually a let down after everyone initially visits to see what it’s about. This is followed by a slow buildup as work steadily shifts to the enterprise social network, social customer care platform, customer community, and so on. This growth is greatly aided by community managers. This buildup is actually (mostly) created hundreds and even thousands of weekly activities taken by community managers to nurture, troubleshoot, support, and educate users on how to get the most from the new ways of working the technology makes possible.
  3. Community management, like IT support and training, never ends so plan for the long-term. Look at the historical data from average and best-in-class communities in the diagram above. This is a good starting rule of thumb on staff size. The amount of community managers required to make social business a success is actually quite small, but you must budget and staff them with experienced people year-in and year-out. Be sure to do so while accounting for the community growing over time, which it will if you have community managers.

IT Applications and Communities Both Need Management Support and Nurturing

As the old saying goes, I’ve actually come here to praise IT, not to bury it. I have an extensive IT background myself and so I know well the insane pace and enormous responsibilities for operations, security, and governance that are required to make technology in the enterprise successful. But I also know that when something very new and different is presented in a technology guise, that it’s hard not to run the same well-worn playbook that’s worked so well in the past. IT support and understanding for what is unique and important about communities is essential for successful social business. Many CIOs are indeed enabling it, just as many have not yet studied why it’s such a different technology animal.

Instead, IT leaders — and everyone really — has to understand why social business is special, why it requires both giving up non-essential control and letting the network do the work. And why it creates an vital new self-organizing entity of immense power that has started to change how organizations create value around the world: The digital community, and its critical enablement capability: Community management.

Additional Reading:

Online communities learn new practices, report higher ROI

Where to Position Online Community in Your Digital Strategy