Introducing Social Lair

In my last blog post, I described some of the lessons I have learned in creating and deploying social innovation communities. I have created a new platform that builds upon the lessons learned for our new company Social Lair (http://sociallair.com). In this blog post I want to outline the solution strategy adopted by Social Lair that really "puts social to work".

Getting work done is at the core of all our offerings. A good enterprise social platform will get the work done faster, better, and cheaper by  reaping the benefits of collective wisdom of crowds. We believe that every business process, from innovation and idea management to HR, Product Management, can benefit from becoming more open and democratic. In fact, the enterprise social software will become mission-critical only when we achieve this goal.

At the conceptual level, our solution can be viewed in terms of three main layers (depicted in the figure below):

• Blended Social Analytics - Analytics is the core foundation of our solution stack and consists of Information Network Analysis (reputations, connector rating, conversational levels), Natural Language Processing (purpose-based routing, expert identification), Quantitative Aggregation Models (prediction markets, rank aggregation), and Gamification (currency management). Analytics piece is instrumental in optimizing cost of social transactions and adding relevance to search and ranking.
• Purposeful Conversations – We model community interactions as a series of structured conversations focused on a business purpose (market forecasting, choice resolution, ideation, etc). Each conversation type has an unstructured component, a quantitative component, and an aggregation and analytics engine for providing actionable intelligence to the conversation sponsor.
• Community Archetypes – Based on our past experience, we have realized that different business contexts require different styles of community design. For example, Idea campaign communities would just not work effectively for daily collaboration.  At the same time, we did not want to create a system that is TOO flexible and requires greater knowledge and effort for set up and configuration. Our approach is to capture well-established collaboration patterns in the form of community archetype. Each archetype is defined in terms of the included conversation types, navigational scheme, terminology, and access control.

Our strategy in realizing this vision is to create minimalistic experience that reflects our approach and iterate on it based on the feedback received by our end users. We are already having some interesting conversations with end users in this space who are getting quite excited about the potential of our technology. I will off course keep you updated in the new venture as we continue our journey in this space.