How Patterns become a Pattern Language
Patterns are the result of empirical observations, and they can constitute a phenomenological foundation for a scientific theory.
Pattern Languages are Means of Expression of Organizational Design
A pattern language is a means of expression that provides: (1) A descriptive notation for modeling and understanding organizational designs; (2) An actionable specifications of organizational designs, whereby that specification can be turned into real organizational structures; (3) A language for communicating and reasoning about organizational designs.
Relevance and Applicability of Design Patterns to Organizational Design
Alexandrian Patterns can be employed to represent knowledge about organizational structures, and Pattern Languages can be successfully applied to the domain of organizational design and organizational architecture.
The Connection between Organizational Patterns for Software Development and Organizational Design
Contemprary organizational improvement approaches must be applicable to decentralized, distributed and networked knowledge-based organizations, that are shaped by the socio-technical impact of information technology.
Design Patterns are a form of knowledge
Patterns always represent social and human factors (comfort, convenience, utility, aesthetic, etc.). Thery are good at representing knowledge in socio-technical domains.
Steve Tendon Interviewed by Clarke Ching, November 4, 2015
Clarke Ching “the Bottleneck Guy” interviews Steve Tendon
TameFlow and PopcornFlow foster Unity of Purpose
Unite a systematic way to achieve exploratory validated learning, the PopcornFlow approach, with the focusing and knowledge discovery contributions of the Levels of Disagreement of the Theory of Constraints.
Actionable Agile Metrics Review - Part 11
Dan’s book is simply a must read for any TameFlow practitioner.
Actionable Agile Metrics Review - Part 10: Forecasting and Analytics
Forecasts, linear projections, Montecarlo simulations are all options for knowing when work will be done. They are all heavily data driven. Become methodical about capturing the data.