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Community of Practice

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Title: Community of Practice


1
Community of Practice
  • Melanie Barwick, Ph.D., C.Psych.
  • Health Systems Scientist
  • SickKids, Toronto
  • KTE CoP September 25 2008

2
Highlights from the Literature Value
  • In the short-term, CoPs benefit the organization
    by
  • Facilitating the identification of individuals
    with specific expertise
  • Fostering knowledge sharing across organizational
    and geographic boundaries
  • Improves the rate if implementation/uptake of
    evidence based practices 1
  • Improves the quality of research and practice
  • The long-term value to organizations include
  • Leveraging strategic plans
  • Increased retention of talent
  • Increased capacity for knowledge development
  • Knowledge based partnerships
  • 1 Barwick, Peters, Barwick, Boydell
    (unpublished). (February 26th 2008). Do
    Communities of Practice Support Practice
    Change? Findings from a Pilot Study. 21st Annual
    Research Conference A System of Care for
    Childrens Mental Health Expanding the Research
    Base, Tampa, Florida.

3
Highlights from the Literature Value
  • In the short-term, CoPs benefit the individual
  • Providing a safe environment for sharing problems
  • Reducing learning curves
  • Improving topical knowledge
  • Foster interaction between junior senior
    practitioners
  • Improves the quality of research and practice
  • The long-term value to individuals include
  • Providing a forum for expanding skills
    expertise
  • Networking for staying up-to-date in the field
  • Enhanced professional reputation
  • Increase marketability and employability
  • Strengthens ones professional identify

4
Structural Elements
  • CoPs can be small, big, long-lived or short
    lived, colocated or distributed, homogeneous or
    heterogeneous, inside or across boundaries,
    spontaneous or intentional (purposeful),
    unrecognized or endorsed organizationally.
  • They all share
  • Domain
  • Community
  • Shared practice

5
Key Organizational Design Factors
  • Clarity of purpose and core membership
  • Healthy infrastructure
  • Leadership
  • Organizational culture
  • Information systems
  • Human resource management
  • Community-building process
  • Results measurement (metrics)

6
The CoP Model
  • A distributed community of practice
  • Overcomes barriers of time, geography,
    affiliation, culture
  • Can be both virtual (web-based) and situated

7
Readiness for CoP
  • Is there top-level sponsorship?
  • Is there an existing sense of community within
    the targeted CoP?
  • Is there a sense of energy and passion around the
    community?
  • Is there a recognized need that the community can
    meet, thus providing value to the members and
    their organizations?
  • Is there a significant or critical issue facing
    the community that knowledge sharing can
    positively impact? (This implies that there is
    significant interest or urgency around the issue
    these tend to focus on specific process topics.)
  • Are there resources (i.e., money and people) to
    support the community?

8
Roles, Responsibility, Supports
  • Roles, responsibilities and supports also need to
    be articulated and put in place at the front end.
  • A support team is needed to provide the
    operational infrastructure, procedural
    guidelines, technical support, user support, and
    community support for the community.
  • The support team provides training, deployment,
    and startup functions, as well as process and
    infrastructure support for communities.

9
14-Step Model
  • Initial concept formation
  • Core planning meeting
  • Draft community charter
  • Establish community structure
  • Inventory of knowledge assets
  • Organize the content within the community
  • Identify and develop new content
  • Identify content editors
  • Train content editors
  • Manage the content
  • Facilitate interaction among members
  • Market the community
  • Keep content current and relevant
  • Determine the effectiveness of the community
  • Defense Acquisition University (2005). Community
    of Practice Implementation Guide.

10
Sample Charter Template1
  • Community Name
  • (Identify the name of the Community, i.e., Cancer
    Prevention CoP.)
  • Community Membership/Audience
  • (Identify the audiences / stakeholders that the
    community is targeting or is trying to attract,
    i.e., narrow down the list)
  • Community Purpose/Intent
  • (Identify the purpose/intent of the community,
    i.e., the community is focused on documenting,
    sharing, and transferring best practices in
    cancer prevention.)
  • Type of Community or Knowledge Area
  • (Identify the type of virtual space that best
    supports the communitys purpose)
  • Community Objectives
  • (Identify the community objectives, i.e., the
    specific areas/issues that the community is
    interested in addressing.)
  • Community Roles (Identify by name the
    individuals who are filling roles.)
  • Sponsor __________________________
  • Leader __________________________
  • Content Editor __________________________
  • Critical Business Issues (Identify the critical
    business issues faced by the community.)
  • Resources (Identify the resources required to
    support the community, i.e., the organic
    resources that are available, the contractor
    support that is required, any performance
    engineered content that needs to be developed.)
  • Measures of Success (List measures of success as
    determined by the community during the Workshop.)
  • 1 Adapted from DAU 2005.

11
Activity Metrics
  • Activity Metrics (Quantitative)
  • Website Page Views
  • New Website Accounts
  • New Topics
  • New Knowledge Objects
  • New Discussion Forums
  • Member Logins
  • Community Page Views
  • Number of Times Knowledge Object is Viewed
  • Most Viewed Knowledge Objects
  • Membership growth trends
  • Contribution growth trends
  • How often users interact (face-to-face meetings,
    virtual discussions, etc.).

12
Performance Metrics
  • Performance Metrics (Qualitative)
  • Performance metrics indicate the value of the web
    tool to community members
  • Usability
  • Unsolicited, through on-line CoP feedback tools
  • Testimonials and other user feedback (e.g.,
    examples of specific mistakes or problems that
    were avoided or solved, time saved, etc.)
  • Unsolicited, through CoP feedback tools
  • Solicited, through various mechanisms
  • Emails targeted at specific communities of the
    workforce
  • Conference surveys
  • Phone calls
  • In-person meetings
  • Written forms
  • Interviews
  • Workshops
  • Group meetings
  • Focus groups of users (i.e., ask the users how
    the community has helped them).
  • Community of Practice Early Progress Checklist
  • Story Telling (e.g., anecdotes, insights, lessons
    learned, and actions).

13
Community of Practice Early Progress Checklist
  • Does the community have a common purpose? Is the
    purpose compelling to leadership, prospective
    members, and their functional managers?
  • Is the common purpose aligned with sponsor and
    organizational strategies?
  • Is the right sponsorship in place, i.e., a
    respected leader who is willing to contribute to
    the community?
  • Does the Functional Sponsor(s) agree with the
    communitys scope, purpose, and membership?
  • Are Core Group Members and the Community Leader
    enthusiastic, content experts, and able to
    develop the community?
  • Do members Functional Managers agree that time
    away from the job is valuable?
  • Does the community have the right content experts
    to provide perspective and meaning to its
    membership?
  • Does the community have enough members to stay
    alive?
  • Are collaborative tools in place and easily
    accessible? Are members willing and able to use
    them?
  • Are needed resources available, e.g., meeting
    rooms, participation in conferences, travel
    dollars, conference fees, etc.?

14
Metrics
  • Performance Metrics Examples
  • Satisfaction of specific knowledge goals
  • Reduction in hours needed to solve problems
  • Reduction in planned or actual schedule hours
  • Reduction in learning time
  • Reduction in rework
  • Improvement in speed of response
  • Increase in innovative and breakthrough ideas
  • Increase in reach to customer
  • Reduction in cost to support collaborative
    workspaces
  • Transfer of best practices (tacit knowledge) from
    one member to another
  • Adoption of best practices or innovations that
    were not invented here
  • Reduction in redundancy of effort among members
  • Avoidance of costly mistakes
  • Reduction of specific cost due to superior
    knowledge resources or shared knowledge
  • Increase in the productivity of knowledge
    workers
  • Improvement in the quality of decision making
  • Increase in user satisfaction with the ability to
    access knowledge.

15

Engagement
  • Jakob Neilson, describes the ratio of on-line
    participation as a 90-9-1 rule
  • 90 of users are lurkers (i.e., read or observe,
    but don't contribute).
  • 9 of users contribute from time to time, but
    other priorities dominate their time.
  • 1 of users participate a lot and account for
    most contributions it can seem as if they don't
    have lives because they often post just minutes
    after whatever event they're commenting on
    occurs.
  • Wikipedia contribution and general Internet
    participation complies roughly with this rule.
    This breakdown does seem to be congruent with our
    observations regarding on-line communities.
  • http//howardlenos.blogspot.com/2008/06/90-9-1-rul
    e.html

16
Engagement
  • Re-label the participants
  • Call the 1 "Knowledge Champions - people who
    excel at sharing knowledge.
  • Call the 9 "Knowledge Agents - people that
    readily connect people to information and are
    proactive in responding and interacting to
    knowledge flow.
  • The rest, the 90 we'll label as "Knowledge
    Users - valuable community participants that
    convert explicit information into solutions,
    products and value.

17
Engagement Dunbars Number
  • Dunbar's number is the supposed cognitive limit
    to the number of individuals with whom any one
    person can maintain stable social relationships
    the kind of relationships that go with knowing
    who each person is and how each person relates
    socially to every other person.1 Proponents
    assert that group sizes larger than this
    generally require more restricted rules, laws,
    and enforced policies and regulations to maintain
    a stable cohesion.
  • No precise value has been proposed for Dunbar's
    number, but a commonly cited approximate figure
    is 150.
  • Dunbar's number was first proposed by British
    anthropologist Robin Dunbar, who theorized that
    "this limit is a direct function of relative
    neocortex size, and that this in turn limits
    group size ... the limit imposed by neocortical
    processing capacity is simply on the number of
    individuals with whom a stable inter-personal
    relationship can be maintained." On the
    periphery, the number also includes past
    colleagues such as high school friends with whom
    a person would want to reacquaint themselves if
    they met again.2
  • 1 Gladwell, Malcolm (2000). The Tipping Point -
    How Little Things Make a Big Difference.
  • 2 Grooming, Gossip, and the Evolution of Language
    (Paperback) by Robin Dunbar

18
Engagement
  • 90-9-1 rule sure holds true across sites
  • Beyond Dunbar number, hard to maintain trust.
  • Have different strategies for different
    participation levels group sizes
  • http//www.socialtext.net/ocu2008/index.cgi?

19
Engagement
  • Stimulate community engagement by
  • Mapping the social network to identify the
    Knowledge Champions and Knowledge Agents.
  • Optimize support and communications structures
    around the Knowledge Champions, they are the
    "collaboration core" of the community.
  • Empower the Knowledge Agents by making sure they
    are solidly connected into the community and have
    full visibility and convenient contribution
    mechanisms.
  • Finally, provide the Knowledge Users with very
    low-barrier interaction mechanisms that align
    with their working contexts.

20
Metrics
  • Measuring for SuccessA successful community
    generally has two hallmarks a high level of
    interaction between the participants, and a
    growing body of valuable content. That's a
    wonderful end-state, but how do we assess the
    current state of collaboration? Here are some
    criteria critical to success
  • Discovery - How easy is it for others to see what
    your community is currently doing or intends to
    do?
  • Participation - How easy is it for others to
    contribute to the community?
  • Promotion - How do you help others connect with
    your community and stay informed?
  • Production - How valuable are the contributions
    of the community?
  • http//howardlenos.blogspot.com/search/label/Metri
    cs

21

Engagement
  • Christopher Allen, The Numbers Behind Trust,
    Online Community Unconference, June 18 2008,
    Mountainview, California
  • http//www.socialtext.net/ocu2008/index.cgi?
  • Key Takeaways
  • 1) 90-9-1 rule sure holds true across sites
    participation inequity.2) Beyond Dunbar number,
    hard to maintain trust.3) Have different
    strategies for different participation levels
    group sizes
  • Jakob Neilson, in his article, "Participation
    Inequality, Encouraging More Users to
    Participate", describes the ratio of on-line
    participation as a 90-9-1 rule
  • 90 of users are lurkers (i.e., read or observe,
    but don't contribute).
  • 9 of users contribute from time to time, but
    other priorities dominate their time.
  • 1 of users participate a lot and account for
    most contributions it can seem as if they don't
    have lives because they often post just minutes
    after whatever event they're commenting on
    occurs.
  • He then goes on to describe how Wikipedia
    contribution and general Internet participation
    complies roughly with this rule. Although not
    mathematically conclusive, this breakdown does
    seem to be congruent with our observations
    regarding on-line communities.
  • http//howardlenos.blogspot.com/2008/06/90-9-1-rul
    e.html

22
Engagement
  • Re-label the participants
  • Call the 1 "Knowledge Champions", people who
    excel at sharing knowledge and evangelizing ideas
    and content.
  • Call the 9 "Knowledge Agents", people that
    readily connect people to information and are
    proactive in responding and interacting to
    knowledge flow.
  • The rest, the 90 we'll label as "Knowledge
    Users", valuable community participants that
    convert explicit information into solutions,
    products and value.
  • Stimulate community engagement by
  • Map the social network to identify the Knowledge
    Champions and Knowledge Agents.
  • Optimize support and communications structures
    around the Knowledge Champions, they are the
    "collaboration core" of the community.
  • Empower the Knowledge Agents by making sure they
    are solidly connected into the community and have
    full visibility and convenient contribution
    mechanisms.
  • Finally, provide the Knowledge Users with very
    low-barrier interaction mechanisms that align
    with their working contexts.

23
Metrics
  • Measuring for SuccessA successful community
    generally has two hallmarks a high level of
    interaction between the participants, and a
    growing body of valuable content. That's a
    wonderful end-state, but how do we assess the
    current state of collaboration? Here are some
    criteria critical to success
  • Discovery - How easy is it for others to see what
    your community is currently doing or intends to
    do?
  • Participation - How easy is it for others to
    contribute to the community?
  • Promotion - How do you help others connect with
    your community and stay informed?
  • Production - How valuable are the contributions
    of the community?
  • http//howardlenos.blogspot.com/search/label/Metri
    cs
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