Decision Quality Frustration Scenario 4

The decisions are analytically complex and we end up with analysis paralysis

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  • Leads to

    • Inordinate effort to collect and analyze data of limited relevance. Spreadsheets and computer models that are too complicated and opaque. Results from analysis are ignored or decisions are delayed.

    Possible Causes

    • Inadequate framing; intolerance of uncertainty and unwillingness to rely on expert judgment; a glut of data of marginal relevance; unrealistic expectations from analytic team; lack of commitment to timely decision making.

    Potential Solutions

    • Clarify framing. Start with a simple analysis and refine only as needed. Develop more transparent models, using influence diagrams. Assess the value of information for collecting and using additional data with a delayed decision versus a decision now .
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