Project Risk Assessment and Decision Support Tools

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Feasibility Validation

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75- Do project environmental reviews require special consultation with Indigenous groups? (No = Blue)

  1. Hoes/villages
  2. Historic significance/burial grounds
  3. congestion
  4. Toxic runoff/emission

76- Will other parts that will intersect with the project be ready when we get there? (No – blue)

77- Does/Will the PM have the proper hardware and software to do the analysis? (No = bad)

78- Does PM ensure that information is valid and reliable, before acting upon it? (Yes = good)

79- Are the project’s promises (Eg. 100% effective/improvement offering more than what the science/evidence can actually/realistically offer?

  1. Is the proposed technology still a long way from everyday use?
  2. Can this project’s long term sustainability be realistically estimated?
  3. Have known technical hurdles/inherent risks been identified?
  4. Has this technology been successfully used/demonstrated (pilot program) elsewhere? All the details have been determined?
  5. is SM/PM setting high expectations with few or no details?

80- Have SM/PM identified and applied for the required approval to proceed?

81- Is SM/PM relying exclusively on studies/testing performed by paid consultants who have vested interest in the project proceeding?

  1. Has there been any attempt to clinically test these theories? (no = blue)
  2. Does any independent research paper support the feasibility study’s claims? (Yes = blue)
  3. Have the consultants shared their raw data/findings with PM? (No = blue)

82- Have independent experts determined that any of the following can/has occurred?

  1. Illegal? (Yes = bad)
  2. Impractical? (Yes = bad)
  3. Inhumane? Unethical? ( Yes = bad)
  4. Expensive? (Yes = bad)
  5. Ineffective? ( Yes = bad)
  6. Wasteful? ( Yes = bad)
  7. Fragile? ( Yes = bad)
  8. Scarcity? ( Yes = bad)
  9. Fraudulent? ( Yes = bad)
  10. Can’t verify where tests were conducted/who the test subjects are/were? What the tests were designed to detect? (Yes = bad)
  11. Distorting (wide gap between executive or management’s reporting and reality)/ doctoring/ contorting test results? (Yes = bad)
  12. Test results were used to improve project’s performance? (Yes = good)

83- Will senior management/regulators develop new rules to integrate the new project with a related existing project/users?

  1. Does this scientific theory succeed in Actual practice? (No = bad)