Tuesday, February 23, 2010

Metrics for Managing Project Risk

I was in a bookstore over the weekend and saw of copy of Identifying and Managing Project Risk by Tom Kendrick from HP. The book was published last year but I know of his work on project risk metrics from an earlier whitepaper that really showed how to get a handle on measuring and managing project risks.

Here are some examples of predictive risk metrics which serve as a distant early warning system for project difficulties.

Project size/scale risk

  • Project duration (elapsed calendar time)
  • Total effort (sum of all activity effort estimates)
  • Total cost (budget at completion)
  • Size-based deliverable analysis (component counts, number of major deliverables, lines of non-commented code, blocks on system diagrams)
  • Staff size (full-time equivalent and/or total individuals)
  • Number of planned activities
  • Total length (sum of all activity durations if executed sequentially)
  • Logical length (maximum number of activities on a single network path)
  • Logical width (maximum number of parallel paths)

Schedule risk

  • Activity duration estimates compared with worst-case duration estimates
  • Number of critical (or near-critical) paths in project network
  • Logical project complexity (the ratio of activity dependencies to activities)
  • Maximum number of predecessors for any milestone
  • Total number of external predecessor dependencies
  • Project independence (ratio of internal dependencies to all dependencies)
  • Total float (sum of total project activity float)
  • Project density (ratio of total length to total length plus total float)

General risk

  • Number of identified risks
  • Quantitative (and qualitative) risk assessments (severity analysis)
  • Adjusted total effort (project appraisal: comparing baseline plan with completed similar projects, adjusting for significant differences)
  • Survey-based risk assessment (summarized risk data collected from
    project staff, using selected assessment questions)
  • Aggregated overall schedule risk (or aggregated worst-case duration estimates)
  • Aggregated resource risk (or aggregated worst-case cost estimates)

And the last example, the Dilbert Correlation Factor: collect 30 recent Dilbert cartoons and circulate to staff. Have people mark each one that reminds them of your organization. If the team average is

  • under 10: Low organization risk.
  • 10-20: Time for some process improvement.
  • Over 20: Hire a cartoonist and make your fortune….)


boy labyog said...

Thanks for sharing your wonderful idea i much appreciate it.

Laby[dress pants]

Andrew Rayy said...
This comment has been removed by the author.
Andrew Rayy said...

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