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