Sizing the Community Opportunity for B2B

Three contexts to help create a bigger and better future for your company’s community.

When developing or refining a community strategy, it is critical to understand the larger market and business contexts the community will exist in. This sounds obvious and straightforward, right? Yet the needed research, discussion and development of shared understanding of these contexts rarely happens. As a side note, this concept was literally hammered into my brain by a former boss at Autodesk, Moonhie Chin, who was the SVP of Digital Platform and Experience. She always had a simple question for any data she saw: “What is the denominator?” – meaning, what is the whole, or what is the largest meaningful context.

I’ve been primarily focused on developing Business to Business communities during my career, and  I’ve come up with three key contexts that I think are critical to understand the opportunity for community development. 

1. Customer Career Journey

Understanding your customer’s career journey, the number of distinct journeys, and how your product / service plays a role can help determine where in the journey community may play a valuable role.

Considerations:

  • Number of distinct Customer Profiles  (~Personas)
  • Stages in Career Journey
  • Centrality of products / services to productivity & advancement at each stage

Key Questions:

  • Is product or service critical throughout career, or only at certain points? 
  • How does / could the community support development and transition?
  • Can your organization support the full Customer Career Journey, or does it make sense to partner with complimentary organizations? 

2. Depth of Product Engagement by Customer Profile

Understanding the depth of product / service engagement by customer profile, can give insight into the level of effort, the specific motivations, and the needed resources customers need to master your product, and by extension, advance in their career. This understanding can guide what community experiences your offer (and what community investments you make).

Considerations:

  • Complexity of product / services
  • Effort required to attain skills / mastery
  • Amount of time spent using product / service
  • Amount of time spent in surrounding ecosystem – courses, conferences, meetups, online content, expert communities, etc.

Key Questions:

  • How much time will the customer spend mastering product / services and necessary skills?
  • How much time will the customer use the product in their work?
  • How much time is it reasonable to expect a Customer to spend participating in your community weekly?
  • What form factor and level of effort is required for quality participation?

3. Total Addressable Community & Crowd

Taking insights uncovered from the discussions in the customer career journeys and the depth of engagement categories, what do the opportunities and required investments look like at scale?

Considerations:

  • Overall Market Size
  • Current Customer Base
  • Projected growth (ideally segmented by Customer Profile)
  • Target vs Current Community Membership (again, segmented by Customer Profile)

Key Questions:

  • How big is the total addressable market?
  • What % of active customers are targeted for community engagement?
  • What business value can be realized at scale?
  • How can the community business case be optimized by extrapolating investment vs return at scale? At what point does the investment vs return reach equilibrium? Go negative?
  • How does the Customer value proposition change at scale? Is there a true Network benefit, or flat / diminishing return at a certain point in the growth arc? 

Summary

In the simplest terms, the three contexts give you:

  • Customer career journeys: Where in the journey is community valuable?
  • Depth of product / service engagement: What community experiences are valuable?
  • Total addressable community & crowd: How many people can you expect to participate in your communities?

T hese contexts are for considering an Enterprise strategy, and you can imagine similar contexts for Medium & Small Business and Consumer. This approach doesn’t replace a comprehensive strategy development exercise, but is intended to sketch out a future state and give relative sizing for future planning or assessing current efforts. 

If you would like to discuss this sizing approach, or other advanced ideas for creating a bigger and better future for you community, please reach out

AI Use Cases For Communities & Networks

networkArtificial Intelligence is arguably the buzziest of buzz words these days. Yet, there is a reason for the hype: AI could support a radical transformation of online community management and experience: automation of routine tasks, real-time insight, enhanced personalization and the enhanced agency of an individual in digital ecosystems.

For business leaders shaping online community strategy, AI holds promise to help solve two of the biggest challenges with online communities: 1) Quantifying the value of community investment and delivering timely and actionable insight and 2) Managing large networks of relationships at scale.

To Start: What is AI?

In the context of Community, AI can be thought of as an agent, or set of agents that

  • is / are connected to real time data sources;
  • has / have the ability to act in the community (or admin interface); and
  • has / have specific goals to make progress towards.

 From the Wikipedia entry on AI:
“In computer science AI research is defined as the study of “intelligent agents“: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[1] Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.[2]   

“Isn’t this just an algorithm?” is the next natural question, and the answer is “well, not really.” Algorithms are complex sets of bounded instructions, and they aren’t (typically) designed to learn from their environment and evolve.

Where are we on the map?

Clearly, interest, investment and experimentation in AI by corporations is increasing year over year. According to Harvard Business Review, which surveyed over 3,000 organizations, 20 percent of companies used AI in a core part of their business model, and 41 percent were experimenting or piloting in 2017 (a total of 61 percent).

Narrative Science partnered with the National Business Research Institute and found the same numbers: 61 percent of surveyed respondents utilized AI in their corporations in 2017 (up from the 38 percent in 2016). The study also found that 35 percent of respondents use AI for interaction with customers (a.k.a. potential community members).

A recent study by Constellation Research found that 70% of the organizations they studied were already investing in AI and that 60% were expecting to increase their investment by 50% or more this year.

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Image Source: Constellation Research 2018 Artificial Intelligence Study

Community Leaders and Community Platform Providers have been leveraging simplistic AI tools for more than a decade, primarily for automating community moderation tasks and supporting member personalization. An early example: we launched TechRepblic.com in ’99 with an overly-complex community and content personalization function and wound up pulling back on the functionality in subsequent releases because of the technical overhead.

Emerging Use Cases for AI 

We (Stucture3C) are in the midst on a year-long research project, C3/A3,  studying how organizations are using / planning to use AI in their online communities. In our first wave of research with 40 Community Professionals at large organizations, we asked what types of advanced technologies they are considering or  implementing, including AI and related technologies. Personalization, bots / agents and analytics topped the list.

tech_consideration

Digging deeper, we wanted to understand the most valuable use cases under consideration: We found that corporations are either piloting or planning to use AI in three key areas: Customer Experience, Community Management, and Analytics / Insights.
Customer Experience (for Community Members)
Examples include:
  • Advanced personalization based on profile / activity
  • Recommendations of people and content
  • Conversational interfaces, including chatbots
  • Agents (acting on behalf of a member)

From the write in responses:
“(We are evaluating)… Machine Learning that automates personalization for content, news, interaction models.”

Community Management (for Community Managers)
Examples include:
  • Influencer & Advocate identification
  • Escalation identification – ID’ing people who need help, like Facebook’s suicide threat technology
  • Moderation of content and member behavior
  • Suggested actions (what to do next in the community)
  • Suggested content (to produce, based on member behavior and other signals)

From the write in responses:
“(We are)…Leveraging machine learning in our peer to peer support community to predict certain kinds of moderation needs, such as suicidal escalations or harassment etc. Better sentiment/text analysis.”

“(We are piloting)…AI text analysis to draw insights from unstructured data feeds (with reduced dependency on tagging)”

Analytics / Insights (for Executive / Business Stakeholders)
Examples include:
  • Community health
  • ROI measures
  • Areas of investment
  • Identifying customer behavior trends
  • Gleaning insight for product / service enhancement

From the write in responses:
“Predictive – I want to present our users with timely and relevant content, before they even know they need it in some cases. If we know what you’re doing with our products and what your behaviors are in community, we should be able to activate that data into meaningful upgrades to the experience in both places.”

#TeamHuman vs. the Machines

Swiss Futurist Gerd Leonard characterizes the broad adoption of AI and related technologies as a battle of “Technology vs. Humanity”. The statement is hyperbolic, but the intent is spot in: we have to act now to ensure enabling human agency and purpose remains at the heart of any broadly deployed technology, including AI.  Australian Online Community pioneer Venessa Paech says it best in a recent article:

“Instead of being replaced, community experts will upgrade. We’ll work to help businesses set up bots and intelligent interactions. We’ll plot behavioural frameworks for machine learning. We’ll spill into HR, marketing, IT, innovation – anywhere there’s a need to understand and optimise social intelligence. Leveraging AI for communities demands we extend our capabilities as social systems engineers. If we get it right, we can see to it that AI augments our best natures, not our worst.

Participants in Wave 1 of the C3/A3 project are also optimistic about the possibilities of AI:

“I’m excited about the shift that AI could bring – instead of being reactive, let’s be proactive. I’d also like to use this tech to identify the things that we can flatly stop doing and redirect those efforts into more valuable activities.”

“I’m really excited to see how AI & ML augment and enhance a community member’s experience rather than replace any of the human aspects!”

Conclusion

Essentially, we think the value of AI is threefold for Community Professionals:

  • AI will allow for the automation of routine community tasks and processes so that focus can be put on more valuable activities;
  • AI will provide real-time analytics, insight, and specific and contextual suggestions;
  • AI will shape the community experience for all stakeholders, including members (onsite), prospective members (externally), Community Managers and Executive Stakeholders.

We think future communities will thrive with AI if the ultimate goal of the community is enabling member agency and purpose. Perhaps paradoxically, the future of community management will likely depend on Community Managers becoming comfortable with, and knowledgable about, intelligent agents and automation, while doubling down on the art and science of human interactions and group facilitation.

Interested in participating in the research? Take the survey here.
Have questions, or interested in a briefing? Please reach out.

Gratitude: I wanted to give a shout out to Venessa Paech. The motivation to start the C3A3 project was inspired, in part, by conversations with her at, and following, the 2017 SWARM Community Management Conference. Be sure to read Venessa’s thought piece on AI and Community Management. I also highly recommend the SWARM conference, being held in Melbourne this year, August 30-31.

 

Announcing the C3/A3 Project: The Connected Future of Communities, AI & Automation

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The C3/A3 Project

C3: Community, Crowd, Collaboration
A3: AI, Agents and Automation

Humans instinctively seek meaning, connection and resources through community. Driven by near ubiquitous access to broadband and the rapid adoption of smartphones, our new and ever-expanding digital world offers instant access to a rich tapestry of social experiences, fundamentally changing the way we seek, find and participate in community. 

Currently, individuals and organizations are struggling to adapt to our evolving digital world, particularly the social technologies we use to connect and communicate with each other. Complex human networks are springing up on and across myriad social media, social network and topic-based communities, forming community ecosystems that transcend technological, geographical and organizational boundaries.

Looking forward, it seems things are about to get even more complicated. A new set of technologies is emerging to augment human cognition (AI), enhance human agency (Agents) and shape digital experiences and outcomes by taking advantage of a rich set of tools and APIs (Automation). We see these three technological forces (AI, Agents and Automation) as the next immediate wave of disruption in digital experience, and we see Community, Crowd and Collaboration as the social contexts in which technology and humanity will interact for the betterment (or detriment) of humankind.

The C3/A3 Project Overview

Our hypothesis is that this combination of social technologies with human augmentation technologies will usher in a new age of digital community experiences. These new experiences will present unprecedented opportunities and challenges for organizations and individuals, and complex policy issues for society.  The C3/A3 project will explore the technological, business and societal implications of this next wave of change and offer a helpful path forward.

Focal areas:

  1. Technology: The current and emerging technology landscape
  2. Business: Corporate strategy, competence, needs and level of readiness
  3. Individuals: Customer (a.k.a. Community member) needs, expectations and likely challenges

Key Components of the Project:

  1. Community Executive survey – February 26th
  2. Technology landscape analysis
    1. Community platforms
    2. AI technologies ( ex: Watson, Einstein)
    3. Agent interfaces (ex: Cortana, Alexa, Obindo)
    4. Automation platforms
  3. Executive interviews with select technology providers, early adopters and startups
  4. Mass practitioner survey
  5. Customer (Community End-user) survey

Reports and Mastermind

The output of the project will be a series of reports throughout 2018 that publish key findings. An executive mastermind group for brands and select startups will be formed to deeply explore relevant topics.

Getting Involved

The first wave of research launches on Monday, February 26th with an invitation-based survey to Executives who own community and social media experiences for their respective companies. Detailed results will be shared privately amongst this group, and summary data will be shared publicly.

If you would like to participate in the research survey and subsequent Mastermind discussion, please send me a note: bill@structure3c.com.

Reminder: This phase of the research is open to Executives at large organizations (5000+). No agencies or consultancies please.

Building Modern Communities #SwarmConf

Screen Shot 2017-08-31 at 5.43.07 AMI was honored to be asked to keynote the SWARM Community Managers Conference in Sydney this week, hosted by conference Co-Founders Alison Michalk and Venessa Paech. The conference featured a range of topics and an impressive group of expert practitioners sharing their views on Community building.

My keynote focused on the need for a modern approach to community building in response to the accelerating change and disruption driven by exponential technologies. I’ve summarized the talk below and included the full deck at the bottom of the post.

Exponential Technologies and the Missing Human Dimension

Exponential Technologies are defined as technologies that are on a growth curve of power and speed are doubling annually, or the cost is dropping in half annually. Further, these technologies interact in a combinatorial way to create disruptive change and opportunity. Futurists Frank Diana and Gerd Leonhard do an amazing job of unpacking this concept on this recent podcast.

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Image Source & Concept: Frank Diana

Online Communities are poised to have a break through moment if we, as community builders, can blaze the trail.

There are several trends converging to support this approach:

  • Many organizations are experiencing a social media hangover and are actively exploring the possibilities of hosting their networks and communities;
  • Research is showing that network-building and platform building activities are a path for organizations towards resilience and growth;
  • We know online communities can generate significant and varied forms of value, and that connected customers are typically more valuable.

A New Approach to Community Building

A new and comprehensive approach to online communities can create a path forward through the change being driven by exponential technologies. The key factors, as I see them:

  1. Leadership that prioritizes learning over labor;
  2. Community experiences that are powered by purpose;
  3. A move beyond destinations to community ecosystems;
  4. Community presence across contextual interfaces;

1. Shifting Leadership Mindsets
To create the environment for Communities to be successful, leaders within organizations have to shift from a primary focus on Scalable Efficiency (Fixed Mindset) to a focus on Scalable Learning (Growth Mindset). Scalable efficiency is all about defined roles, repeatable processes and limited experimentation. This works well in a static environment but works poorly in a dynamic one. A focus on experimentation, learning and evolution creates the opportunity to adapt to changing conditions and shifts the role of community from one of cost-savings to one of value-creation.

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2. Purpose-powered Communities

As Community Builders, we’ve always known that we needed to define a community’s purpose as part of strategic development, but we generally haven’t paid much attention to the role of purpose for community participants. Further, an emerging body of research (including my own primary research) has shown that helping community members discover, refine and actualize their purpose can create truly extraordinary outcomes and high levels of engagement.
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3. Developing Community Ecosystems

Developing a community ecosystem, to date, has typically involved bolting on a handful of social channels to a hosted community strategy. A number of new opportunities have emerged to explore in-person experiences, community partnerships and mastermind-style engagements (to name a few).
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4. Interfaces into Community
Perhaps one of the most interesting opportunities is to think about the expression of your community across a range of interfaces. In-product experiences are going to be particularly valuable. As an example, Aatif Awan, VP of Growth at LinkedIn stated that “Product integrations with Microsoft are the biggest growth opportunity” for LinkedIn.

Community Interfaces

Community Builders as Architects of the Exponential Experience

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Full slide deck here:

The Customer Community

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Image © Leigh Prather

The last few years have seen big brands make extraordinary investments in developing massive “digital transformation” and social media programs. On one hand, these programs have yielded moments of customer connection, advocacy and insight. Unfortunately, for the majority of programs reliant on mass social platforms like facebook and twitter, organic reach has dropped effectively to 0 and companies are now forced to pay to engage sporadically with the “audiences” they worked so hard to build. Companies now realize they have been renting their customer communities on social platforms.
 
The alternative to social media campaigns and digital transformation theatrics? Developing Customer communities. Specifically, online Customer communities that companies build, host and manage. Customer communities hold the key to Customer acquisition, retention and growth. Further, communities can be a catalyst for development and innovation, and will be critical to future business models. Below I explore the opportunity for Customer community in three key Corporate areas: Brand, Product and Strategy.

Community is the Fabric of Brand

What is the nature and value of brand in a hyper-connected world? A recent HBR article asserts that the collective value of  Customer relationships is outstripping the value of “brand. markables_relatoinship The authors of the article nail the point that Customer relationships are incredibly valuable, but may have missed an opportunity to explore the effect of the customer community as a brand asset & catalyst — the line between brand and relationship isn’t as crisp as the authors imply. Further, I would assert that the “network” of relationships represented by the collective customer base of a company is a manifestation of brand, every bit as important and as valuable as the components of brand identity. My primary research and experience has shown connected customers (via community and social) are more valuable than those that aren’t. Third party research by Deloitte has shown that Networked companies (“Network Operators”) perform better, live longer, and are more valuable. All of these points are are vectoring towards a new opportunity and a new frontier in business: Community-Centric Customer Experience — an approach to customer experience design and business strategy that not only strengthens the Company to Customer relationship (1:1), but also strengthens and develops the Customer to Customers & Company relationship (1:Many, a.k.a. the “Community”). and considers development of the Community the primary .

Communities Will Infuse Product

Customer communities are an essential part of most technology products now. At the very least, online support forums are expected as part of the offering (more on that in a bit). Many companies are experimenting with customer communities as a means to raise product awareness, convert trial customers and retain existing customers. A radical new business opportunity is emerging where the community (both the people and the platform) are the actual product. Purchases are artifacts or a gateway into the community experience, and the real “product” is the collective experience, knowledge, content and means of collaboration with the community. There are many early examples in the gaming world, from MMOG’s like World of Warcraft to the new “build and explore” virtual worlds like Roblox. Software companies are attempting to build communities that address the “whole customer”, and focus on experiences well outside of product support. Adobe (Behance), Autodesk (Instructables, Fusion360, AREA), Intuit (OWN It) and Sephora (Beauty Talk) are actively investing in the community space.

Opening the Aperture on Strategy

There is an unfortunate tendency to view Customer communities as “cost saving” vs “value producing”. This thinking leads to strategies and outcomes that fail to realize the full value of customer communities, and is rooted in a long standing dependence by some companies on customer support communities. In extreme examples, this sort of strategy breeds resentment with valuable customers and leads to a dangerous dependence on an unsustainable resource. When the Corporate mindset shifts to “value producing”, the aperture of community strategy widens to a rich set of possibilities: community advocacy programs, open innovation, peer to peer mentoring, complex content sharing, customer co-design and much more.

Moving forward, Customer communities will be the medium by which value is co-created and exchanged between Companies and customers. To have any chance of long term success with Customer communities, mindsets have to evolve beyond a fixation on cost savings to a more enlightened view of communities as a valuable catalyst for innovation and growth.

The Bottom Line:

Customer communities are the “fabric of brand”, the medium in which the network of customer & company relationships develops and thrives. Companies that create modern communities with their customers will be more innovative, realize more value and have more resilient businesses than their competitors who don’t.

How AI Can Help Solve The Biggest Problem With Crowdsourcing

Starlings at Dusk

The concept of engaging “the Crowd” through digital platforms has been around for some time. Howard Rheingold coined the term “Smart Mob” in 2002 to describe the phenomenon of people acting in concert “because they carry devices that possess both communication and computing capabilities”. The concept was carried forward in 2005 by the editors of Wired to coin the term “Crowdsourcing” (crowd + outsourcing) to describe production with the a digitally connected marketplace. In the 15 years since the concept of Crowdsourcing was introduced, we have seen a wide range of crowd-based business models emerge: Wikipedia (collective knowledge), Lego Ideas (design your own kit), Kickstarter (crowd funding), Local Motors (crowdsourced vehicles), and Dell’s Ideastorm (the original social suggestion box).

With the wide range of crowdsourcing experimentation, we’ve also seen the limits of what the current platforms and practices can produce, and it isn’t pretty. Consider:

  • On average, less than 30% of Crowdfunding campaigns reach their goals. On some platforms it can be closer to 10%.
  • Quirky, once the darling of crowdsourced consumer goods, filed for bankruptcy in 2015.
  • Dell, an early pioneer in crowdsourcing, has been able to implement only 2% of the ideas submitted on IdeaStorm.
  • Independent crowdsourcing research, including a recent study by the Swiss Federal Institute of Technology, discovered that social influence can cause “herding towards a relatively arbitrary position.”

What are the key challenges?

The most common limiting factors to Crowdsourcing initiatives are one, or a combination, of the following:

  1. Engaging the right crowd: Perhaps the most critical challenge in crowdsourcing is finding, and then engaging, the members of the crowd with the knowledge, skill and motivation to participate. Without domain knowledge and skill crowdsourcing produces only low quality results. Without motivation, you have unrealized potential.
  2. Creating an iterative development process: One of the early corporate adopters of crowdsourcing, Dell’s Ideastorm, learned early on that creating an experience that solicits ideas without giving the community the ability to refine and evolve the ideas is a waste of time. After collecting over 10,000 ideas in the first 2 years of IdeaStorm, Dell was left with 9,750 that couldn’t be implemented, causing frustration for the company and their crowd. By introducing multi-staged challenges dubbed “Storm Sessions”, Dell was able to source and develop products with their crowd, most notably Project Sputnik, the first Linux-based laptop for developers.
  3. Developing short and long-term feedback loops: The process and infrastructure required to support short-term feedback loops is difficult and labor intensive, requiring personal interactions and manual data management. Longer term feedback loops that include market data are currently next to impossible.
  4. Creating intelligence from crowd data: The amount of data a typical crowdsourcing initiative produces is overwhelming, and managing this data to create knowledge and insight, even moreso. Consider the amount of manual processing and scoring overhead associated with the 25,000+ ideas in the previously mentioned Dell IdeaStorm example.

How A New Take on Collective Intelligence Can Help

Collective Intelligence, a disciplined approach to the “wisdom of the crowd”, is defined as the “science of scaling insight from multiple knowledgeable perspectives and experiences into predictions”. We’ve traditionally thought of “The Crowd” as exclusively human, but what if we expanded the collective “we” to include the rapidly evolving domain of Artificial Intelligence? The combination of expert communities and artificial intelligence is the core of a new approach to Collective Intelligence being developed by a new startup named CrowdSmart. Specifically, CrowdSmart technology creates a means to predict startup success factors by engaging an expert community of investors to score and provide critical feedback to early stage startups. Investors save time on research and improve the quality of their deal flow, and Startups get critical and timely feedback to help increase their odds for successful outcomes.

What is uniquely valuable about the CrowdSmart approach is leveraging Artificial Intelligence to detect the statistically significant ranked comments behind any given score. These ranked comments are the “drivers” that produce a specific score. The qualitative “wisdom of the crowd” becomes quantitative intelligence that grows in value over time.

According to Tom Kehler, Chief Data Scientist at CrowdSmart, “Collective Intelligence significantly outperforms individual expert intelligence at predicting the success of a new products, services and startups.” If Tom is correct, the application of Collective Intelligence will have far-reaching effects on the future of Crowdsourcing, paving the way for a more disciplined approach and more successful outcomes.

Disclosure: CrowdSmart is a Structure3C client.

Beyond Ideas: Building Open Innovation Communities

img_0571Open Innovation Communities – where companies and customers collaborate on ideas for new products and services – can be one of the most valuable ways to invest in community engagement. Unfortunately, this type of community is also one of the most difficult to get right. Many companies have experimented with this type of  Open Innovation – Lego Ideas, Dell’s IdeaStorm, Starbucks’ My Starbucks Idea – and each of these companies have seen value from the communities. The bad news is that most companies fail because they lack the vision and commitment to see beyond the initial tactic of soliciting customer ideas.

In my community practice, I’ve seen 4 stages that are typical in the maturation of an Open Innovation Community.

  1. The Social Suggestion Box – Launch an open space for customers to give feedback or make suggestions
  2. Overwhelming Backlog – Period where the company can no longer process the backlog and may abandon the community
  3. Managed Sprints – Develop a strategy to shape feedback and ideas by introducing a more formal process and constraining topics & time
  4. Collaborative Innovation – A significant evolution of programs and platforms that layer ongoing ideation into all design and decision making

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4 Stages of “Ideas” Communities

The Four Stages of Open Innovation Communities

Stage 1. The Social Suggestion Box
Most companies start their Open Innovation Community with an open-ended call for ideas and feedback. Community members are welcome to submit any idea, and the broader community (hopefully) comments on the idea and rates the idea using a simple scale or upvote. Community managers take the most highly rated ideas to the product team for discussion, and eventually some ideas are chosen for production.

The Social Suggestion Box phase is valuable in the short term, as customers will likely have suggestions they have been holding on to since they began their relationship with the company – essentially a communal backlog, if you will. Companies become stuck in this phase when they are unable to process the backlog of ideas, manage the growing community and deliver quality ideas to internal teams (typically product) in a format and within a timeline that aligns with product roadmaps. This break between the promise of a constant stream of new ideas, and the lack of a process and the ability to shape ideas into a usable format is the key challenge.

Stage 2. Overwhelming Backlog
The equivalent of the “trough of disillusionment” from the Gartner Hype Cycle, companies in the Overwhelming Backlog phase can often find themselves with a large pile of unread ideas, a community platform in need of a serious overhaul, an innovation program that no one really values and a community in revolt.

This situation may sound extreme, but it was exactly the one I walked in to when I joined Dell in 2010. IdeaStorm, Dell’s Open Innovation Community, had launched in 2007. After enjoying 2 years of valuable idea contributions, positive PR and internal support, year 3 found IdeaStorm as a “ghost ship” community, with no leadership, vision or community management. Things became so bad that a community member posted the idea that Dell should shut IdeaStorm down. The community quickly upvoted that idea, it caught the attention of Michael Dell and my team was given the task of “making it better, fast”. I eventually hired the community member who posted the “take it down” idea to become the new community manager for IdeaStorm.

To navigate out of the mess we were in, the team immediately began research to inform our new strategy. I wanted to know the financial impact of IdeaStorm to date, understand why ideas weren’t being responded to, and to understand what the barriers were in getting ideas from the Community into the the product teams at Dell. We found that the financial impact from IdeaStorm was really high ($100s of Millions), that we lacked an agreed upon internal process for scoring and prioritizing ideas, and that we needed to create a new type of community management role to help facilitate the new process – an Idea partner that lived on the product team. The final piece of the puzzle was implementing an archiving policy for ideas that didn’t score well in the community. Within a few months we had processed the ideas backlog, started design on a new platform (with the community), and had reengaged most internal product teams.

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Stage 3. Managed Sprints
Companies come out of the Overwhelming Backlog phase with the key insight that shaping the topic, type and form of ideas they would like to receive is critical to realizing value and long term success. Many companies will implement a sprint-like approach to ideation, using phased ideation and design sessions to focus on a single topic or product.

This approach involves developing a clear business or design problem, and then breaking solution development in to smaller ideation projects that are facilitated, in sequence, over a number of weeks. The output of each sub-project helps shape the proceeding sub-project. Ideas and design concepts are generally of higher quality because the problem definition is clear, product teams participate, and community members get real-time feedback from the product team.

Dell did this successfully on IdeaStorm with Project Sputnik, co-creating a Linux-based laptop with and for developers. Other examples of the Managed Sprint stage include Unilever and General Mills. Jovoto (client), an “On Demand Creative Community”, has on of the best Managed Sprint approaches I have seen – you can find more information on their site, and in the book their CEO Bastian Unterberg coauthored, “Crowdstorm“.

Stage 4. Collaborative Innovation
In many ways, moving through Stages 1-3 are a necessary process for companies to undertake in order to develop the strategy, process, alignment, platforms and business models to move beyond what are essentially sporadic innovation campaigns.

Collaborative Innovation is an ideal state where an organization and its community of customer, partners and employees are engaged in an ongoing process to perfect existing products & services and to bring new products and services to market. We’ve talked for years about the boundaries between companies and customers disappearing – in the Collaborative Innovation stage, the boundary is permeable – customers create new products & services with the companies assets, and receive value in return (use, compensation, reputation, etc.).

There are examples of large companies partially engaged in the Collaborative Innovation stage, but none that have extended this to every part of their business.

Some examples include:

Opportunity While Other Stall

The truth is, most companies never make it beyond stage 2, “Overwhelming Backlog”. Dell, an early pioneer in the space (and my former employer) has been regressing back from Stage 3 for a few years (unfortunately). The other notable pioneer, Starbucks, has optimized My Starbucks Idea to be a very well run & designed Stage 1 community. While Communities at each stage offers some dimension of value, companies progressing through to Stages 3 & 4 will discover the most value and innovation.

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The potential opportunity for the next wave of Open Innovation Communities is incredible. Why?

  • Customers have shown they are willing to collaborate & create
  • Customers are willing to buy products still in the conceptual phase (millions of examples of crowdfunding)
  • The tools to create & share complex designs are free and relatively easy to use – see Fusion 360 & OnShape
  • Innovation platform companies have an opportunity to move beyond text / pictures / video into immersive & real-time 2d & 3d collaboration. PS – Platform companies – I would LOVE to work on this and have a ton of ideas.

Summary

Many companies could realize tremendous value from Open Innovation Communities. Most don’t because they don’t experiment, or do a poor job of planning their initiatives. Companies that commit, support and evolve their Communities see value. Beyond the current practice examples of Open Innovation Communities, the next wave will feature immersive and real-time design as a key feature. Those who wish to innovate need to be evolving their platform, programs and internal process now.

Learning More
I’m offering a session on Jolt that expands on the concepts in this post, and goes in to more strategic detail about how to build the best Open Innovation Community for your business. Feel free to book a session and chat with me about tailoring to your organization’s needs.

To Develop a Community, Think Network First

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Nevertheless, we now realize that no whole, be it a family, a business, a community, or a nation, can be managed without looking inward to the lesser wholes that combine to form it, and outward to the greater wholes of which it is a member.” 

Allan Savory, from “Holistic Management”

Need a Community? You Have (at least) One

After 15 years of designing and activating online communities, I’m still surprised when I hear from a potential client that they “need to create” an online community. Wether you realize it or not, you have and belong to many communities. Further, you intentionally or unintentionally play many roles within those communities – host, member, participant, advocate, creator, and at times, possibly even destroyer. You may be asking yourself “so, what is a community? How do I know where my community is? How do I define community?” Though typical, those are the wrong questions to start with.   

Context is King

The word “community” is problematic. It can have as many meanings as there are people in an organization to make meaning, ranging from the local geographical community, to a peer to peer technical support community, a social media page or a working group focused on solving a specific problem. I’ve held conferences where the question of a canonical definition of community was debated by some of the smartest people I know in the industry, and the question was left unanswered. Why? Two reasons: 1.) a helpful answer must be developed in the strategic context of the host organization and their extended network and 2.) community as a metaphor is often too specific and limiting – why we often see communities as a solution looking for a problem.

To expand on the Savory quote at the beginning of this post, to fully understand the potential for communities in your organization, you have to understand the actual smaller and discrete communities that make up your organization (employees, partners, alumni) , and the larger communities that your organization is a part of (industries, markets, causes, etc.). The “whole”, if you will, is really a network. Increasingly, I find starting a strategy conversation with “community” can be burdensome, and that “network” is a more helpful (and neutral) place to start.

Network as a Rubric

Why “Network”? Network, defined as “a group or system of interconnected people or things” describes a set of connected entities but does not imply or assign activities, relationships or outcomes the way “community” seems to. Using network as a blank canvas allows you to create strategy from drawing from the largest possible pool of value. Thinking “Network” means you are considering the full set of relationships among stakeholders, assets, and increasingly, artificial intelligence actors that could potentially  be developed. From the baseline of network, a more holistic strategy can be created that is inclusive of community, social, and digital innovation.

As an example of Network Thinking, I developed the graph below as part of an exercises to inventory and explore opportunities for stakeholder groups allowing access to assets in an online marketplace.

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Networked Asset Worksheet

 

The Future of Networks

“What is true for the machines all around us now is true for us too: We are what we are connected to. And mastery of that connection turns out to be the modern version of Napoleon’s coup d’oeil, the essential skill of the age.”

Joshua Cooper RamoThe Seventh Sense: Power, Fortune, and Survival in the Age of Networks

One of the best books I’ve read recently is The Seventh Sense” by Joshua Cooper Ramos. In the book, Ramos describes the role of networks in the age of massive disruption that we are beginning to live through – on par with the Industrial Revolution and the Enlightenment. Ramos goes on to evangelize the need to develop a “Seventh Sense”, the ability “to look at any object and see the way in which it is changed by connection” in order to survive and thrive amidst the change. Ramos, along with recent books by Reid Hoffman and great thinking by the team at a16z represent some of the most helpful and cogent thinking on networks and network effects.

I believe we need a new and more holistic approach to develop modern communities – communities that are a significant evolution of the current support and Q&A-based silos. In my own practice I’ve begun to refer to the skills and methodologies for designing modern social networks and communities as “Network Thinking”, and I’ve begun to tag related research and writing as #FoN, or “Future of Networks”. To stay up to date, subscribe to my newsletter here.

I’m currently working with a select list of clients to build modern community and network strategies. If you would like to schedule some time to talk about how I can help, bill@structure3c.com.

Purpose Will Power Future Online Communities

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Purpose
“…people’s identification of, and intention to pursue, particular highly valued, overarching life goals.” (Steger & Dik, 2010).

a.k.a. “Your reason for getting up in the morning.”
Bryan Dik PhD – Professor of Psychology at Colorado State & Cofounder of Jobzology

The Fine Line Between Engagement & Manipulation

Growthhacking, gamification, content snacks and personalization. Your feed is overflowing with tricks, hacks and best practices to “drive engagement”. The best of these techniques tap into a member’s intrinsic motivation to trigger participation, the worst rely on psychological tricks and negative emotional responses.

What if there was a way to create sustained engagement in communities and collaborative experiences that harnessed genuine motivation and strove for positive outcomes for participants? Through my work as a Fellow with Life Reimagined, I have (with my team of Fellows) developed an approach that taps into the power of purpose to drive community engagement.

Purpose-Driven Communities

As Community Architects (and Builders, Managers, Hosts, etc), we’ve always known that we needed to define a community’s purpose as part of strategic development, but we generally haven’t paid much attention to the role of purpose for community participants. Tactical goals in the context of a community experience, yes. Thinking about the community member as a “whole person” with a life beyond your community? Let’s be honest – rarely.

Our community experiences today are largely designed around the limitations of the platform we choose to grow our communities on. Content (posts and messages) is typically the most dynamic element, followed by algorithmically-driven “streams”. Reputation elements develop over time and are helpful to make judgements about the value of content and contributors, but it is hard to say any given community experience truly evolves.  On the whole, the Community experiences are surprisingly static.

There is opportunity for improvement here. Looking at Communities through the lens of Maslow’s Hierarchy of Needs, you can make a case that online communities support many of the needs that Abraham Maslow describes in his model, especially 1.) Belonging (through social connections), and 2.) Esteem (through participation and the advancement through reputation system). The missing ingredient has been the proverbial top of the pyramid: Self-Actualization.

What might happen if the community and collaborative experiences we designed supported the discovery, refinement and actualization of a person’s purpose?

 

Screen Shot 2016-05-09 at 3.32.29 PMNext, think about what a community might look like if the host organization was actively refining and expressing its purpose through community interactions. As an example: If a software company’s purpose is to empower the world through digital design software, you could imagine community activities going well beyond break/ fix support forums and into eduction, skills mentoring and specific efforts to reach people in the developing world and the associated technological challenges. The host organization evolves from an authoritarian role to become a responsive partner in co-development.

Early Development of the Purpose Model – In Flight Now

In November of 2015, I was honored to be chosen as part of the inaugural Rand Fellows with the Life Reimagined Institute.  I was asked to be team leader and had the opportunity to work with Bryan Dik, Brooke Erol and Roberta Taylor on my team. Our team was mentored by an amazing group of thought leaders, including Richard Leider, Alan Weber (co-founder of Fast Company) and Dr. Janet Taylor. The goal of my team was to create community-based programs that help people discover, refine and express their purpose. My team of fellows is in the middle of a pilot and research project that lasts through the end of July to study the best ways to help our community of participants discover, refine and express purpose through their work. Our team took the Life Reimagined process (shown in the graphic below) and mapped community activities to each stage to come up with the needed content and features for our pilot community program.

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Meaningful Results Beyond Engagement

One of the most incredible outcomes of our pilot program was that we saw significant improvement in 12 of 20 psychosocial variables that we measured in our participants. Specifically, we saw large gains in feelings of Happiness, Resilience, Presence of Meaning, and Career Decision Self-Efficacy. We also saw reductions in feelings of Loneliness and Depression in participants.

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Implications

We are in the early days of developing a model for Purpose-Driven Communities but we are already seeing impactful results from our studies. The Purpose-based model I’ve described doesn’t exist in the wild (yet), but the time to consider the implications and possibilities is now if you want your organization’s community to evolve beyond static growth, low engagement and specious results & impact . There are many positive and disruptive implications of the model – I’ve highlighted a few below.

  1. Shared Purpose of Community 
    • Hosts will have to clearly state the purpose of their community, as well as help individual community members define, refine and express their purpose in the community experience. The development of a “Purpose Model” is required.
  2. Purpose Expressed in Community Leadership and Actions (Member)
    • Once the “Purpose Model” is created, more effective Member journeys, reputation and roles can be developed that align near term activities with longer-term accomplishments.
  3. Evolving Role of Community Manager
    • Once the language of Purpose is understood in a community, and once members and hosts can share their purpose (via statements / profile), the Community Manager can play a critical role of connecting members with the content, people and activities they need to actualize the member’s purpose.
  4. A New System of Context & Feedback Loops (Platform)
    • New tools will need to be developed to facilitate purpose discovery, and to drive the community experience through context (activity streams, member matching & networking, journey models)  and feedback loops (based on activity).
  5. Federated Communities
    • The expression of an individual’s purpose is a large and complex topic. It is unlikely that any one community or organization can fully support the breadth of an individual’s need. Complimentary communities have an opportunity to partner around customer types and segments to offer experiences that support purpose. We will begin to see examples of Federated Communities as an alternative to mass social networks in the next 12-24. Powering these Community Federations with Purpose will be a game changer.

In Summary

Creating a Purpose-driven model for communities will be a break through in performance, engagement and impact for many organizations. This new model will create the canvas for life-long relationships that are based on mutually beneficial outcomes for the host and member. Community platforms, programs and roles will need to evolve to realize the full value of the model.

About Structure3C
I will continue to research and write about the Purpose-driven Community Model as part of my ongoing #NetworkThinking series. To stay up to date, subscribe to my newsletter here.

I’m currently working a select list of clients to build amazing communities. If you would like to schedule some time to talk about how I can help, bill@structure3c.com.

 

 

Develop Your Networked Business Pilot in Less Than an Hour: Worksheet

Many organizations are struggling to understand and respond to the changes being driven by the Collaborative (some say On Demand or Sharing) Economy. A simple way to get started is to think about 1) what assets you have to offer and 2) how digital networks enable distribution, usage of and collaboration with those assets. This process is another element of a concept I am calling “Network Thinking”.levis

I’ve developed a short exercise to help organizations think through ideas, threats and opportunities, and develop a simple plan to start pilot programs. When I facilitate this exercise at workshops and events it is designed to take 45 minutes. using time as a constraint and forcing function. I typically do a quick briefing on communities and the collaborative economy before running the exercise. If you need inspiration, I’ve added a video of a recent talk at the end of this post.

You can download the worksheet here.

Page 1: Synthesis, Threats, Opportunities & Inventory

Synthesis – 5 min
Quickly list ideas about the Collaborative / On Demand / Sharing Economy that resonate, inspire and challenge you.

Disruptive Threats – 5 min
Think through and list the disruptive threats to your business. Startups that are emerging and offering your product or service at a discount, a privileged position in a market that is eroding, etc. 

Transformational Opportunities – 5 min
Explore and list the transformational opportunities at hand, as you currently understand them. This could be a new line of business enabled by digital technologies, replacing your current distribution channel with one that is based on customers or online. 

Inventory – 10 min
Explore and list all assets available to you. 
Consider any tangible asset, including office space, IP, product archives, talent, supply chain, customer talent, etc.

The first page of the worksheet, with the sections described above:
Networked Assets Worksheet @Structure3c

Page 2: Ideation & Action Plan

Ideation Canvas – 10 min
Take the list of assets from page one and list them across the x axis on the bottom of the diagram. Going up the y axis for each stakeholder group, think about how that asset might be used by or with the stakeholder group to create new business value. A simple example is shown on the second image below. The asset “office space” could be used by Partners as a sublet or on-demand office space, or the space could be used by customers or the crowd as a makerspace.

Action Plan – 10 min
Taking inputs from page 1, and reviewing all of the ideas generated on the Ideation Canvas, list your 3 best ideas, develop a short pitch, and answer 3 key questions about getting started.

The second page of the worksheet, with the sections described above:Networked Assets Worksheet @Structure3c
The second page of the worksheet, with the ideation canvas partially completed:Networked Assets Worksheet @Structure3c

In Summary:

In less than an hour you have a solid draft of a possible Collaborative Economy initiative. You can use this output as a tool to start conversations in your organization about a pilot program, or use the Worksheet as part of an internal workshop or planning meeting.

I use this tool in many of my workshops. If you are interested in discussing my workshop offerings, or hosting a facilitated version of this exercise at your company or during a retreat, please reach out to my assistant to schedule some time to connect.

My recent session at the Online Community Tribe Meetup in SF gives an overview of the Collaborative Economy and introduces the concept of Network Thinking as a tool to help organizations explore future business models in the Collaborative Economy.