Develop social principles to guide collective problem solving

From Organic Data Science Framework
Revision as of 22:40, 20 October 2014 by Gil (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search


Our most recent set of distilled principles:

1. Starting communities:

  • 1.1. Carve a niche of interest, define scope in terms of topics, members, activities, and purpose
  • 1.2. Relate to competing sites, integrate content
  • 1.3. Organize content, people, and activities into subspaces, create new ones once there is enough activity
  • 1.4. Highlight more active tasks
  • 1.5. Inactive tasks should have “expected active times”
  • 1.6. Create mechanisms to match people to activities

2. Encouraging contributions through motivation

  • 2.1. Make it easy to see and track needed contributions
  • 2.2. Ask specific people on tasks of interest to them
  • 2.3. Simple tasks with challenging goals are easier to comply with
  • 2.4. Specify deadlines for tasks, while leaving people in control
  • 2.5. Give frequent feedback specific to the goals (“immersive”)
  • 2.6. Requests coming from leaders lead to more contributions
  • 2.7. Stress benefits of contribution
  • 2.8. Give (small, intangible) rewards tied to performance (not just signing up)
  • 2.9. Publicize that others have complied with requests
  • 2.10. People are more willing to contribute: 1) when group is small, 2) when committed to the group, 3) when their contributions are unique

3. Encouraging commitment

  • 3.1. Cluster members to help them identify with the community
  • 3.2. Give subgroups a name and a tagline
  • 3.3. Put subgroups in the context of a larger group
  • 3.4. Make community goals and purpose explicit
  • 3.5. Interdependent tasks increase commitment and reduce conflict
  • 3.6. Allow “conditional participation” commitments

4. Dealing with newcomers

  • 4.1. Members recruiting colleagues is most effective
  • 4.2. Appoint people responsible for immediate friendly interactions
  • 4.3. Introducing newcomers to members increases interactions
  • 4.4. Entry barriers for newcomers help screen for commitment
  • 4.5. When small, acknowledge each new member
  • 4.6. Advertise members particularly community leaders, include pictures
  • 4.7. Provide concrete incentives to early members
  • 4.8. Design common learning experiences for newcomers
  • 4.9. Design clear sequence of stages to newcomers
  • 4.10. Newcomers go through experiences to learn community rules
  • 4.11. Provide sandboxes for newcomers while they are learning
  • 4.12. Progressive access controls reduce harm while learning


Yandex.Metrica