Knowledge Harvesting is a structured method and toolbox for capturing vital knowledge of systems, conditions and variations, and how-to guidance.
Focus: Define critical knowledge to capture and reintegrate for improved performance.
Find: Select participants and information.
Elicit: Conduct elicitation sessions.
Organize: Tag and utilize information for optimal decision making and learning
Package: Select and deliver guidance derived from elicited knowledge.
Evaluate: Measure the effectiveness of guidance derived from elicited knowledge.
Adapt: Leverage elicited knowledge and the measured effectiveness of implemented guidance.
Knowledge Harvesting® originated in a company called LearnerFirst, which delivered technology to improve individual and team learning.
1989: Driven by Englebart’s 1962 Augmenting Human Intellect, Wilson described intellectual augmentation technology in a Master's Thesis. “Digital Performance Support Application” functions were described and illustrated.
1992: Pioneered a new genre of commercial software applications – “learning-while- doing” software. Delivered applications to over 4,000 organizations.
1995: Produced custom learning systems and applications for large organizations.
1996: Began to extensively document how to make implicit knowledge explicit. Psycholinguistic discoveries led to the method, Knowledge Harvesting, for addressing automaticity and yielding unprecedented insights and guidance.
1997: Further discoveries yielded to a means of automating rapid application development, thus fulfilling the principle of linguistic relativity. Where Whorf reasoned that the experience of a language controls thoughts expressed by a speaker of that language, Wilson proved that technology influences our information processing, and that in turn controls our ability to develop solutions to complex problems.
1998: Began mentoring knowledge management professionals.
2000: Globally deployed Knowledge Harvesting methodology via professional consultants.
2002: Delivered Knowledge Harvesting Kits to enable business functions, departments and teams to effectively capture and leverage vital knowledge.
2003: VirtualCollaboration.com - Method embedded in social media used to launch online communities. Designed infrastructure and initiated over 100 online communities; captured guidance about effective online collaboration practices.
2004: Began integrating Knowledge Harvesting into enterprise-wide, knowledge management programs.
2009: Reintroduced Work Profiling as a scalable form of “knowledge harvesting lite.”
2010: SmartGridView.com - Mappings of standards and technology value propositions for interconnecting smart grids.
2013: Contemplative View - Revelations of unprecedented spiritual insights.
2014: Long Term Zonal Isolation - Improvements to compliance and risk mitigation of industry risks, especially oil spills
2016: Knowledge Harvesting Live - Demonstrated real-time knowledge capture.
2018: Interconnecting.com - Delivered method for augmenting associational thinking with contextually-interoperable information.
2019: Spiritual Learning - Delivered workshops and guidance for skills to elucidate the dynamics of spiritual transformation.
2019: AIable.org - Practical method for determining if a work task is susceptible to machine learning.
Here are examples of mission-critical knowledge that have been codified for corporate clients:
Make breakfast cereal
Manage strategic communications
Consider physical, cognitive, and organizational ergonomics and design an office space
Systematize intelligence gathering
Automate the steering of a drill string
Develop and organize a strategic communications campaign
Design and implement an enterprise risk management system
Design a honeypot
Craft and coordinate product management workflows
Achieve well integrity
Calculate expenses of the life of a well
Define market segments
Manage prediction markets
Conduct geothermal exploration
Design system for harmonizing standards
Shutdown and startup a chemical plant
Debottleneck plant operations
Devise framework and technology to integrate institutional, human, and technological goals and functions of a smart city
Systematize and scale lessons learned
Digitize products and services
Conduct scenario planning
Articulate, integrate, and manage process variables
Envision, codify, and visualize a system of systems