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Update to Decision Patterns
The Decision Driven® Solutions Framework (DDSF) has built-in support for the use of knowledge patterns. This includes the ability to create and maintain a hierarchical pattern for a set of requirements, decisions or architecture elements. These patterns can be used … Continue reading
Overcoming the Too Much Information (TMI) problem
One of the speakers at the Co-Dev 2015 conference on Open Innovation highlighted the problem of “Too Much Information” (TMI). Innovative companies who are seeking innovation partners have to sift through immense sets of data in order to find and … Continue reading
Manage knowledge, not documents
I stopped thinking much about documents 20+ years ago. I know that most business processes still demand them (stage-gate, systems engineering, new product development, government contracting, proposals, etc.). I know that lots of effort is expended in maintaining document templates, … Continue reading
Decision Driven® Information Architecture
Many of my previous posts have described the relationships among various types of knowledge: decisions, criteria, alternatives, requirements, risks, plans, etc. There’s method (actually science) to my madness; here’s the Decision Driven® Information Architecture that I believe illustrates how decisions … Continue reading
Posted in Decision Concepts, Decision Driven Innovation, Decision Driven Product Development, Decision Driven Strategy
Tagged alternatives, analysis tasks, criteria, decision, decision context, decision data, derived requirements, implementation tasks, information architecture, information model, issues, knowledge management, models, opportunities, opportunity growth, performance estimates, product development, requirements, risk mitigation, risks, strategy, systems engineering, traceability
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Stop the brain drain
As Baby Boomers retire in increasing numbers, there’s an amazing wealth of knowledge that will be lost from many successful organizations. In some cases, this matters little – an industry may be experiencing rapid technology change or significant business model … Continue reading
Posted in Decision Concepts, Decision Driven Innovation, Decision Driven Strategy
Tagged baby boomers, brain drain, corporate memory, decision framework, decision management, innovation framework, knowledge capture, knowledge framework, knowledge management, organizational learning, reverse engineering, roadmap, roadmapping service, shelf life, strategy baseline, strategy roadmap, succession planning
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Decision patterns as a consulting services differentiator
Although I’m somewhat biased, I believe decision patterns are the ultimate differentiator for anyone who offers consulting services. Decision patterns are a form of high-level knowledge capture and reuse; they distill out the essence of the thinking that has worked … Continue reading
Posted in Decision Concepts, Decision Driven Strategy, Decision Patterns, Use Cases or Applications
Tagged alternative, architecture decisions, collaboration, consulting, consulting services, decision baseline, decision framing, decision network, decision tree, domain expertise, innovation framework, knowledge management, portfolio decisions, problem domain, reverse engineering, solution space, thinking breakdown structure
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Decision patterns as intellectual capital
Knowledge grows the more it is used and applied. Intellectual capital is a term that has been coined to describe the sum total of the knowledge assets of an organization. However, everything that your employees (or customers or partners) know isn’t … Continue reading
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