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· Need separate risk methodologies for large (full stochastic) vs small projects (simple loss exceedance curve)
· Risk analysis should allow to allocate projects to different buckets (we unimaginatively had low, medium, high risk projects) and project requirements change depending on the bucket. For example high risk projects may have higher hurdle rate, different insurance requirements, different, more comprehensive project management processes, detailed vs high level WBS, etc, etc. Low risk projects are fast-tracked with less bureaucracy.
· Any project is high risk until proven otherwise
· Risk analysis not only used to stochastically represent final chosen scenario/option but also to stochastically compare scenarios/options in the first place
· Risks and mitigations should be documented for each project
· Mitigations should be part of project management activities and included in project management / implementation plans. Investment decisions are made subject to implementing mitigations
· Changes in risk exposure becomes a KPI for the project manager
· Project performance is measured on a risk-adjusted basis
