We may be moving to a world of networks well led versus organizations well managed.
—Jim Collins
The city of Boston fixes about 19,000 potholes a year. Part of the cost involved in doing so is not just repairing the potholes, but figuring out where they are. When the city first began addressing the challenge, they thought they had a good idea for how to deal with the problem efficiently. Their solution was to ask the good citizens of Boston to help them. So, like other cities, they built a website and mobile application to allow people to report pothole locations.
But getting people to report potholes was still pretty tedious and, as we have seen, the harder it is to participate, the lower participation rates will be. So, under the umbrella of their “New Urban Mechanics” initiative,1 the city created a smartphone application that allowed citizens to help the city create work orders for problems without requiring a phone call or an email to city engineers—what they called volunteering without the sweat equity. The app used a driver’s phone’s accelerometer—a motion detector—to sense when their car hit a bump, based on the car’s acceleration. The phone’s GPS sensor could then be used to accurately note the location and transmit the data to the city.
The city of Boston worked with outside partners to help develop the application—a traditional contract relationship with experts at Worcester Polytechnic Institute and the Santa Fe Complex, a technology think tank in New Mexico. But, like others who tried to make this kind of road-surface-sensing application (Microsoft and MIT, for example, are two entities that had spent time on it), the results were only marginally successful.
The problem was simply that users couldn’t rely on this approach: After all, how could the app tell the difference between a missing manhole cover and a pothole, or just temporary construction? At this point, the city explored the possibility of reaching out to a community of external talent for help with solving the problem. The Street Bump team turned to InnoCentive to run and manage the challenge.
Participants were asked to submit a detailed description of their ideas for how to solve the problem of differentiating bumps in the road so that they could definitively categorize some as potholes, along with the software source code that would become part of the downloadable phone application. InnoCentive shared the brief with their problem solver community, as well as other coalition partners, including media partners—like magazines The Economist and Popular Science—to reach out to new participants.2
Participants agreed to submit ideas and give up the associated rights as a condition of submission. The city then reviewed and tested the solutions with their experts and selected the best performing solution as the winner. InnoCentive’s role in managing the challenge was minimal: they merely had to answer any questions about the brief or the challenge’s terms and make sure that participants adhered to contest rules.
The result: the city uncovered a series of algorithms to filter out things like manhole covers and speed bumps. So if at least three people hit a bump in the same spot, the system recognized it as a pothole. Problem solved.
The “Street Bump Challenge” offers a look at the most common type of crowdstorm pattern, the search pattern. We introduced this pattern in Chapter 6 with regard to recruiting. Let’s look at it more closely as we explore how to manage participation.
The focus of this pattern is a search for people who have ideas to solve a problem. The process is almost completely defined by the processes we have described in the book so far—framing a brief, establishing incentives, forming a coalition, and recruiting. All that remains is to gather the solutions and pick the winners.
This process is at once relatively simple and very powerful. We saw in Chapter 1 how the mining company Goldcorp shared data about its operations to receive innovative ideas on where they were most likely to find gold. P&G’s “Connect and Develop” challenge platform uses the search pattern to help source half of their innovation ideas from outside the company. And the same process works for the most successful venture capital firms, including Sequoia, as well as the XPrize and DARPA challenges.
It is easy to understand this pattern’s popularity because of its long history of success. In 1895, the Chicago Times-Herald offered a prize for a “practicable, self-propelling road carriage” that led to the first auto race. The prize was offered to the first person to complete a 54-mile course. Similarly, British newspaper The Daily Mail offered a £1,000 prize for the first pilot to fly across the English Channel. Ten years later, a similar prize would lead to Charles Lindbergh making the first transatlantic flight—paving the way for the modern airline industry.
Figure 7.1 represents this pattern by depicting the specific interactions between the participants from outside the organization with representatives inside the organization.
Figure 7.1 The Search Pattern
The search pattern focuses on recruiting to find the right participants. Once they are uncovered—and opt to join in—the interactions are relatively simple: outside participants submit ideas to representatives inside the organization (or coalition).
However the search pattern does not describe what we have seen in cases like American Idol, Betacup, LEGO Cuusoo, LifeEdited, or GE Ecomagination. Think about the interactions among participants in these cases: American Idol depended on the voting process to pick the winners; LEGO Cuusoo uses voting to prioritize design ideas for further research; and the feedback in the Betacup, LifeEdited, and GE’s Ecomagination challenges enabled participants to make multiple clarifications and updates to their designs.
As we discussed in Chapter 6, we call these types of interactions the collaboration pattern. (See Figure 7.2.) We still see the familiar search pattern here in that ideas are being submitted and judged. But we also see interactions among idea submitters and other participants as they offer comments or when they vote or rate to help filter ideas.
Figure 7.2 The Collaboration Pattern
We also see a familiar pattern of opportunities to participate, often referred to as the 1–9–90 rule.3 This rule describes types of contributions—big versus smaller—in online systems. We think of big in terms of the resulting value—that is, a single big submission of an idea to solve the problem. Many smaller submissions—such as votes and comments taken together—will help to improve on the idea or identify its potential. One percent of participants are making big contributions (in our case submitting ideas, plans, or proposals) and 9 percent are making smaller contributions (commenting, voting, or sharing these submissions). We then expect 90 percent of the people who interact within an open system to “lurk,” that is, they will not participate directly beyond observing participants’ results.
This rule has important implications for managing the collaboration pattern. Let’s assume that 100 participants submit ideas to our hypothetical challenge. The 1–9–90 rule suggests that we should then expect 900 people to participate in the voting and commenting processes. So, in effect we have moved from interacting with 100 people to interacting with 1,000 people—an order of magnitude change. And with this change some new management demands emerge.
These interactions can get more complex in another important way: they take place across organizational boundaries. For example, when the city of Boston received an idea via InnoCentive, there was no need for them to offer feedback or encouragement. But take a look at American Idol, LEGO, GE, Threadless, or Starbucks Betacup and you will see representatives from these organizations interacting with participants in much more significant ways—they need to observe and react to not just ideas but their feedback too.
If search patterns are the starting point for working with outside talent, then collaboration patterns are the midpoint. The integration pattern is the frontier and points toward entirely new kinds of organizations that cannot exist without outside talent. This is not a matter of tapping into crowdstorm processes as needed; this is complete dependence on crowdstorming. And, much like the step from search to collaboration, the integration pattern is defined by another jump in the number of overall interactions between participants and between insiders and outsiders.
Where the 1–9–90 rule explains the critical difference between search and collaboration, the integration pattern is defined by more interactions—not just between participants, but also across the inside–outside organizational boundary.
One challenge we have when discussing this pattern is that we simply do not have as many examples as we do for the search pattern. While organizations have used the search pattern for more than 100 years, the integration pattern is native to the Internet. Interaction on such a large scale was simply not possible until we had the near-zero communication costs that online spaces provide. Most of the organizations that fit integration patterns have been designed around the Internet, with the oldest ones being barely a decade old.
Organizations that use integration patterns are working with outside participants across their business model, from R&D to production. For these organizations, their customers are very often their most valuable participants across a range of activities. Organizations invite them into their community to participate in multiple different business processes. We have talked about a few of these organizations already—Quirky, Threadless, and Wikipedia embody this pattern (and we will shortly learn about another, Giffgaff).
It’s often hard to tell at this level of complexity the most active participants from the full-time employees—the roles and interactions blur the boundary between inside and outside.
The integration pattern expands on the collaboration pattern by increasing the number of interactions among participants and across an organization’s boundaries (see Figure 7.3).
Figure 7.3 Integration Pattern
Organizations in the search pattern reach out to crowds in an attempt to gather ideas. They don’t need to have an existing relationship with a crowd because the quality of the idea is all that matters. Participants show up, agree to the crowdstorm terms, and submit their ideas. While the “Street Bump Challenge” winners will go on to work closely with the city to move their work from prototypes to production, no other participants are likely to interact with the city again in this context.
Once you move beyond search, however, participants take on additional responsibilities, including feedback and filtering, all of which are interactions that require more management focus. How does an organization know if this participant is good at voting (for instance, what their biases might be) or whether their feedback is worthwhile or not? What happens when someone offers particularly negative or offensive feedback?
Recall what happened to the Wikipedia’s new high-potential editors: after a few rounds of negative feedback, they simply stopped showing up. There are also concerns about people attempting to abuse the voting system. We know that voting system requires some level of monitoring and enforcement to ensure smooth operation. Just take a look at democratic election processes, where considerable resources are dedicated to monitoring and responding to issues associated with the voting process from voting machine software to voter suppression or intimidation. How do you manage these more complex interactions?
It turns out that there is a tested force holding these structures together within the collaboration and integration patterns, and this force has a face: the community manager.
While the community manager role is new for most organizations, the idea of community management is old. It has existed in online environments since the first groups came together around areas of interest to do university research and open source software projects. But with the rise of social media, the opportunities and desire to connect have exploded. And with this explosion in interactions comes a much clearer need for community management.
Simply stated, the community manager’s objective is to support the community in its desired activities. But what exactly is the community manager doing? In 2007, Jeremiah Owyang4 described the job of community management as a communication role that (1) advocates on behalf of the community for the organization sponsoring a challenge and (2) evangelizes on behalf of the brand for the participating community. And community managers are also responsible for gathering input.
Another way to understand the role is in terms of its monitoring function—to understand not just needs, but also behavior and contributions. Community managers know what drives the community—what tasks, incentives, and interactions make it work. They also have the strong communication skills required to represent the community to the internal organization. Just as important, they are responsible for selling the organization’s priorities to the community. By continuously striving to represent and reconcile stakeholders’ needs, the community manager can help his or her community move forward.
The role is also not static; its emphasis shifts as we make our way from search to integration patterns. Let’s take a look at how one successful organization has evolved their community management approach to respond to more complex crowdstorm patterns.
Local Motors made its debut in March of 2008 with a call to designers to submit sketches for their dream cars. Company founder John Rogers was on a mission to bring cars to market “in a sustainable manner—the cars people want, where they want, when they want. This is what Local Motors accomplishes.”5 By sustainable Rogers did not mean building cars that used different energy sources (though some of the projects would deal with this). Rather, he meant building them more quickly and with less waste. And in order to do this, he implemented a different business model to create, develop, build, and modify cars. At the core of the model was an external community of designers, engineers, fabricators, and automotive fans.
Local Motors invites people—“from everyday car enthusiasts to experienced engineers”—to participate in all aspects of the process. Rogers explains that his company gives “people tools, education, a network, inspiration, fame, money, and they give you ideas, enthusiasm, feedback, criticism. We call it ‘cocreation.’”6 Local Motors’ goal in 2008 was to crowdsource the design and production of the first car, something they managed to do with the Rally Fighter (the culmination of 35,000 designs by 2,900 community members from over 100 countries). This off-road vehicle was completed from design to production in 18 months—a fraction of the five years it normally takes to bring a new vehicle to market.
The Rally Fighter was an impressive debut for a crowdsourced car. Unfortunately, so much of what makes the Rally Fighter innovative is invisible. It is not just that this is the first car designed by a large group of people using crowdstorming processes; it is also the result of fantastic community management.
Local Motors began with a collaboration pattern. For the Rally Fighter challenge, participants not only submited ideas; they also made comments, voted, and interacted with the full-time Local Motors team. Local Motors had to figure out how to encourage, and then work with, all of this feedback. There was no question that for John Rogers the community was always going to be at the core of Local Motors. What was interesting to see was how this played out during the first design—how the respective roles of the community and the full-time organization evolved during the process.
Alex Fiechter is Local Motors’ community manager. He explained that the Local Motors team knew that while the Rally Fighter was successful along nearly all metrics, it would be hard to keep the community excited through the 18-month cycles needed to develop future cars—the process does not allow everyone to participate through all phases of development. This realization came in part because of great community management—the Local Motors team talked constantly with community members to understand their needs. While Local Motors was in the business of creating cars, they recognized that their business model depends on motivated participants—so they needed to shift their model in order to encourage participation.
This led Local Motors to establish contracts with other organizations that wanted to work with their community to build cars. In 2011, Local Motors contracted with DARPA to design and build an experimental combat support vehicle in four months. President Obama proclaimed the project’s success during a speech at Carnegie Mellon on June 24, 2011, during which he announced a major manufacturing initiative.7
Community management helped Local Motors evolve their model to rebalance the value exchanged with their community. The focus in the beginning was on Local Motors’ needs and on getting ideas; it evolved to leveraging feedback between members on the designs. This feedback then became a driver for the integration pattern. The DARPA challenge was greatly concerned with increasing opportunities and incentives for the outside participants and changed Local Motors’ business.
However, this was just the first big step in the shifting structure between the full-time Local Motors team and their increasingly active community. Their next challenge was to figure out how to balance the range of participant skills. A quick visit to the Local Motors “Forge” (their online collaboration environment) reveals a massive number of beautifully rendered automotive designs. The design talent is easy to spot. But what about the less visible—but no less important—engineering work? Local Motors realized that the motivations that attracted a large design community were not as successful at drawing in engineers.
While both target a finished product, a designer’s end-state is the completed work, which can become part of his or her portfolio, whereas engineers must point to something they have built. In other words, designers “win” even if their idea is not selected; they can show their work and be recognized for it. But in crowdstorm projects, engineers need to be part of projects that get produced in order to “win”—working artifacts are the best show of engineering skill. Local Motors understood that they needed to become “deep enablers” for participants.
So they began to focus on key pain points that prevented engineering community members from participating in ways that would lead to product realization. For example, they provided software tools that helped engineers perform complex mechanical modeling during the development stage; and they identified key areas of expertise that community members needed—such as carbon fiber fabrication—and provided access to the key resources to support these areas.
Local Motors is playing a more supportive role in another important way, to ensure that more ideas are realized.
Community members constantly share ideas and projects in the Local Motors forums. When one of these projects began to gather support in 2011, Local Motors made the decision to take on a new role. They would help to organize the development of a new idea for a tandem car design8 that one of their community members had proposed. Unlike previous Local Motors projects, this was not something that Local Motors had initiated either directly or with a partner. Further, they would not produce the design under the Local Motors brand name, nor would they own the IP. In taking this step, Local Motors was clearly committing to support their community in pursuing their own initiatives—and, in so doing, they were strengthening their relationship with the community.
The Local Motors example shows community management in action across the continuum of interactive models. Table 7.1 highlights the different roles that community management plays across the search, collaboration, and integration patterns as Local Motors evolved its approach.
Table 7.1 Local Motors Community Management
It is worth noting that community management starts from the top at Local Motors. Local Motors founder and CEO John Rogers tirelessly communicates the company’s values and vision to all stakeholders. But Local Motors success also depends on the creation of new support structures—or institutions to enable the community, such as ensuring that there is space to learn or make decisions about what is best for the community. These institutions help communities to help themselves. Let’s look at these structural components in greater detail.
Cities provide a great model to understand how to enable communities. Cities are concerned less with directing activities and are more focused on creating an environment that enables their inhabitants’ activities. We tend to take these things for granted, going about our daily business.
Cities oversee the use of shared resources that help their dwellers get the most from their environment and are responsible for ensuring that individuals or groups do not act in a way that will negatively impact one another.
A city creates and enforces laws, as well as monitors the use of things from roads and water to whether or not people follow local laws.
And cities today use a growing amount of data to better allocate resources to this end. They also provide open spaces for people with common interests to come together and set policies that drive behavior. It is hard to be mayor for a day.
The city provides a nice analogy for community management work (see Figure 7.4).
Figure 7.4 Community Management Functions
We can flesh out the roles of the community manager as mayor by looking at the work of 2009 Nobel Prize winner Elinor Ostrom, who has shown how simple institutions can enable groups to manage shared resources. Ostrom spent her career working across multiple disciplines to understand very efficient approaches to managing shared resources from forests to fish. As such, her findings demonstrate the characteristics required for forming effective communities and community management—they apply to the city as well as to crowdstorm projects.
Ostrom discusses eight institutions that help in the management of shared resources.9 These institutions apply directly to managing complex online work communities:
With these institutions in mind, let’s expand the community management table we used in our discussion with Local Motors.
Table 7.2 provides an overview of the community management roles across the search, collaboration, and integration patterns that you need to consider for your projects. It highlights the differences between the types of institutions that enable each pattern.
Table 7.2 Key Attributions of Different Crowdstorm Community Management Patterns
The following final example in the chapter will show how an organization has used community management to drive results using the integration pattern.
You might be smiling if you are an expert on ancient Scottish, because you know that giffgaff is an ancient Scottish word that means mutual giving. But the Giffgaff we are talking about is actually a very modern idea: it is a UK-based wireless mobile virtual network operator (MVNO) that is a wholly-owned subsidiary of mobile operator O2 (in turn owned by Telefonica).
Since 2009, Giffgaff has grown steadily, and stands apart in an industry notorious for poor customer service and frustrated customers. However it has also distinguished itself because Giffgaff’s full-time team only consists of about 20 people. The company has built its business model on community involvement—and has succeeded in having its customers take on new roles in almost every aspect of their business. Giffgaff’s idea platform was incredibly active during its first two years, seeing almost 7,000 ideas and over 50,000 comments. And they have implemented ideas into their operations and service at an average of one every three days.
But what really sets Giffgaff apart is the extent to which they consult their community on core business model decisions.
In September 2012, Giffgaff’s head of community, Gregg Baker, asked the community for ideas to help solve a problem facing all mobile carriers: as the number of smartphone users increases, so does the use of data on the mobile networks that impacts how operators address service issues and how they charge for this—which upsets customers.
For example, each operator in the United States deals with this issue differently. Some simply reduce access speed when users reach the allotted monthly allowance, while others charge at a specified rate once the allowance is exceeded. This can be a frustrating and sensitive issue for customers.
Giffgaff put this on the table for their community to help solve. In order to do so, Giffgaff had to openly discuss the relationship between their costs and pricing options as well as competitive information and options to reduce bandwidth usage. By doing this, Giffgaff was letting the community into the core of its business—how much data people used and what they were willing to pay. By inviting all of its members to participate, they were integrating their customers into the heart of their business.
This chapter’s case studies highlight the ways in which organizations can manage crowdstorming projects to drive results.
The approach to community management is a function of the type of interactive pattern used in crowdstorming challenge. Approaches range from ensuring that the right participants show up and are properly supported, to facilitating community members’ collaboration, to furthering the integration of design and delivery so that communities can realize new products.
Monitoring communities at all levels requires the ability to understand how participants are contributing. In the next chapter, we look at the many ways community managers monitor and measure activity to support crowdstorming communities.
Notes
1. For more details see Urban Mechanics website, www.newurbanmechanics.org.
2. For more details see InnoCentive Challenge website, www.innocentive.com/ar/challenge/9932752.
3. For more details see Wikipedia, en.wikipedia.org/wiki/1%25_rule_(Internet_culture).
4. Jeremiah Owyang, “Four Tenets of Community Management,” Blog, November 25, 2007, www.web-strategist.com/blog/2007/11/25/the-four-tenets-of-the-community-manager.
5. Reena Jana, “Local Motors: A New Kind of Car Company,” Bloomberg Businessweek (November 23, 2009), www.businessweek.com/innovate/content/oct2009/id20091028_848755.htm.
6. Jessica Testa, “Local Motors CEO Jay Rogers,” Phoenix Magazine (June 2011), www.phoenixmag.com/lifestyle/valley-news/201106/local-motors-ceo-jay-rogers/.
7. For more details see YouTube Video, www.youtube.com/watch?v=j_2zD-hs0aU.
8. For more details see lmlife.local-motors.com/2011/09/local-motors-home-built-tandem-project.html.
9. For more details see Wikipedia, en.wikipedia.org/wiki/Elinor_Ostrom.