Decision Engineering - Revision history

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'''Content Coming Soon'''

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-'''Decision Engineering''' is a [[Framework|framework]] that unifies a number of [[Best Practice|best practices]] for organizational [[Decision Making|decision making]]. It is based on the recognition that, in many [[Organization|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]</ref>
+'''Decision Engineering''' is a framework that unifies a number of best practices for organizational decision-making. It is based on the recognition that, in many organizations, decision-making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision-making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision-making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>[https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Definition -What is Decision Engineering?]</ref>
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-It is interesting to note that, despite decades of development of decision support system and [[Methodology|methodologies]] (like decision analysis), these are still less popular than spreadsheets as primary tools for decision making. Decision engineering seeks to bridge this gap, creating a critical mass of users of a common [[Methodology|methodology]] and language for the core entities included in a decision, such as assumptions, external values, facts, [[Data|data]], and conclusions. If a pattern from previous industries holds, such a methodology will also facilitate [[Technology|technology]] adoption, by clarifying common [[Maturity Model|maturity models]] and [[Roadmap|road maps]] that can be shared from one organization to another. The decision engineering approach is multidisciplinary, unifying findings on [[Cognitive Bias|cognitive bias]] and decision making, situational awareness, critical and creative thinking, [[Collaboration|collaboration]] and [[Organization Design|organizational design]], with engineering technologies. Decision engineering is considered an improvement upon current organizational decision making practices, which include the use of spreadsheets (difficult to QA, hard to collaborate and discuss), text (sequential in nature, so is not a good fit for how information flows through a decision structure), and verbal argument. The movement from these largely informal structures to one in which a decision is documented in a well understood, visual language, echoes the creation of common [[Blueprint|blueprint]] methodologies in construction, with promise of similar benefits.
+It is interesting to note that, despite decades of development of decision support systems and methodologies (like decision analysis), these are still less popular than spreadsheets as primary tools for decision-making. Decision engineering seeks to bridge this gap, creating a critical mass of users of a common methodology and language for the core entities included in a decision, such as assumptions, external values, facts, data, and conclusions. If a pattern from previous industries holds, such a methodology will also facilitate technology adoption, by clarifying common maturity models and road maps that can be shared from one organization to another. The decision engineering approach is multidisciplinary, unifying findings on cognitive bias and decision-making, situational awareness, critical and creative thinking, collaboration, and organizational design, with engineering technologies. Decision engineering is considered an improvement upon current organizational decision-making practices, which include the use of spreadsheets (difficult to QA, hard to collaborate and discuss), text (sequential in nature, so is not a good fit for how information flows through a decision structure), and verbal argument. The movement from these largely informal structures to one in which a decision is documented in a well-understood, visual language, echoes the creation of common blueprint methodologies in construction, with the promise of similar benefits.
-Decision engineering is both a very new and also a very old discipline. Many of its elements—such as the language of assessing assumptions, using logic to support an argument, the necessity of [[Critical Thinking|critical thinking]] to evaluate a decision, and understanding the impacts of bias — are ancient. Yet the realization that these elements can form a coherent whole that provides significant benefits to organizations by focusing on a common methodology is relatively new.
+Decision engineering is both a very new and also a very old discipline. Many of its elements—such as the language of assessing assumptions, using logic to support an argument, the necessity of critical thinking to evaluate a decision, and understanding the impacts of bias — are ancient. Yet the realization that these elements can form a coherent whole that provides significant benefits to organizations by focusing on a common methodology is relatively new.
 ===See Also===
-[[Decision Making]]<br />
+*[[Critical Thinking]]
-[[Decision Engineering]]<br />
+*[[Decision Making]]
 ===References===
 <references/>

← Older revision		Revision as of 20:48, 18 February 2021
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−	It is interesting to note that, despite decades of development of decision support system and methodologies (like decision analysis), these are still less popular than spreadsheets as primary tools for decision making. Decision engineering seeks to bridge this gap, creating a critical mass of users of a common methodology and language for the core entities included in a decision, such as assumptions, external values, facts, data, and conclusions. If a pattern from previous industries holds, such a methodology will also facilitate technology adoption, by clarifying common maturity models and road maps that can be shared from one organization to another. The decision engineering approach is multidisciplinary, unifying findings on cognitive bias and decision making, situational awareness, critical and creative thinking, collaboration and organizational design, with engineering technologies. Decision engineering is considered an improvement upon current organizational decision making practices, which include the use of spreadsheets (difficult to QA, hard to collaborate and discuss), text (sequential in nature, so is not a good fit for how information flows through a decision structure), and verbal argument. The movement from these largely informal structures to one in which a decision is documented in a well understood, visual language, echoes the creation of common blueprint methodologies in construction, with promise of similar benefits.	+	It is interesting to note that, despite decades of development of decision support system and [[Methodology\|methodologies]] (like decision analysis), these are still less popular than spreadsheets as primary tools for decision making. Decision engineering seeks to bridge this gap, creating a critical mass of users of a common [[Methodology\|methodology]] and language for the core entities included in a decision, such as assumptions, external values, facts, [[Data\|data]], and conclusions. If a pattern from previous industries holds, such a methodology will also facilitate [[Technology\|technology]] adoption, by clarifying common [[Maturity Model\|maturity models]] and [[Roadmap\|road maps]] that can be shared from one organization to another. The decision engineering approach is multidisciplinary, unifying findings on [[Cognitive Bias\|cognitive bias]] and decision making, situational awareness, critical and creative thinking, [[Collaboration\|collaboration]] and [[Organization Design\|organizational design]], with engineering technologies. Decision engineering is considered an improvement upon current organizational decision making practices, which include the use of spreadsheets (difficult to QA, hard to collaborate and discuss), text (sequential in nature, so is not a good fit for how information flows through a decision structure), and verbal argument. The movement from these largely informal structures to one in which a decision is documented in a well understood, visual language, echoes the creation of common [[Blueprint\|blueprint]] methodologies in construction, with promise of similar benefits.

−	Decision engineering is both a very new and also a very old discipline. Many of its elements—such as the language of assessing assumptions, using logic to support an argument, the necessity of critical thinking to evaluate a decision, and understanding the impacts of ~~bias—are~~ ancient. Yet the realization that these elements can form a coherent whole that provides significant benefits to organizations by focusing on a common methodology is relatively new.	+	Decision engineering is both a very new and also a very old discipline. Many of its elements—such as the language of assessing assumptions, using logic to support an argument, the necessity of [[Critical Thinking\|critical thinking]] to evaluate a decision, and understanding the impacts of bias — are ancient. Yet the realization that these elements can form a coherent whole that provides significant benefits to organizations by focusing on a common methodology is relatively new.

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	'''Decision Engineering''' is a [[Framework\|framework]] that unifies a number of [[Best Practice\|best practices]] for organizational [[Decision Making\|decision making]]. It is based on the recognition that, in many [[Organization\|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]</ref>		'''Decision Engineering''' is a [[Framework\|framework]] that unifies a number of [[Best Practice\|best practices]] for organizational [[Decision Making\|decision making]]. It is based on the recognition that, in many [[Organization\|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]</ref>
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		+	[[File:Decision Engineering Framework.png\|400px\|Decision Engineering Framework.png]]<br />
		+	source: Saylor.Org
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		+	It is interesting to note that, despite decades of development of decision support system and methodologies (like decision analysis), these are still less popular than spreadsheets as primary tools for decision making. Decision engineering seeks to bridge this gap, creating a critical mass of users of a common methodology and language for the core entities included in a decision, such as assumptions, external values, facts, data, and conclusions. If a pattern from previous industries holds, such a methodology will also facilitate technology adoption, by clarifying common maturity models and road maps that can be shared from one organization to another. The decision engineering approach is multidisciplinary, unifying findings on cognitive bias and decision making, situational awareness, critical and creative thinking, collaboration and organizational design, with engineering technologies. Decision engineering is considered an improvement upon current organizational decision making practices, which include the use of spreadsheets (difficult to QA, hard to collaborate and discuss), text (sequential in nature, so is not a good fit for how information flows through a decision structure), and verbal argument. The movement from these largely informal structures to one in which a decision is documented in a well understood, visual language, echoes the creation of common blueprint methodologies in construction, with promise of similar benefits.
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		+	Decision engineering is both a very new and also a very old discipline. Many of its elements—such as the language of assessing assumptions, using logic to support an argument, the necessity of critical thinking to evaluate a decision, and understanding the impacts of bias—are ancient. Yet the realization that these elements can form a coherent whole that provides significant benefits to organizations by focusing on a common methodology is relatively new.

← Older revision		Revision as of 20:25, 18 February 2021
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−	'''Decision Engineering''' is a [[Framework\|framework]] that unifies a number of [[Best Practice\|best practices]] for organizational [[Decision Making\|decision making]]. It is based on the recognition that, in many [[Organization\|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]	+	'''Decision Engineering''' is a [[Framework\|framework]] that unifies a number of [[Best Practice\|best practices]] for organizational [[Decision Making\|decision making]]. It is based on the recognition that, in many [[Organization\|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]</ref>

← Older revision		Revision as of 20:25, 18 February 2021
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−	'''~~Content Coming Soon~~'''	+	'''Decision Engineering''' is a [[Framework\|framework]] that unifies a number of [[Best Practice\|best practices]] for organizational [[Decision Making\|decision making]]. It is based on the recognition that, in many [[Organization\|organizations]], decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around complexity theory and organizations.<ref>Definition -What is Decision Engineering? [https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2011/06/Decision-Engineering-.pdf Saylor.Org]
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		+	===See Also===
		+	[[Decision Making]]<br />
		+	[[Decision Engineering]]<br />
		+	[[Decision Model]]<br />
		+	[[Decision Theory]]<br />
		+	[[Decision Tree]]<br />
		+
		+
		+	===References===
		+	<references/>