The vignette, task, requirement, and option (VITRO) analyses approach to operational concept development


  1. Dooley, P.W.
  2. Gauthier, Y.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN)
We describe a systematic, generic, and transparent planning approach to operational concept development by defence and security organizations. The approach is based on sequential Vignette, Task, Requirement, and Option (VITRO) analyses. The vignette analysis yields likelihood estimates for potential events or contingencies of interest, whereas the task analysis gauges probabilities for tasks that a military or security force may be requested to perform in response to such events. Next, the requirement analysis produces estimates of what the force would need to perform such tasks adequately, across the vignette set. Finally, the option analysis aggregates the three foregoing analyses’ results, to assess potential force packages’ performance versus a range of prospective tasks. The VITRO approach was devised to aggregate rigorously thousands of inputs and yield results that are meaningful for military decision makers and readily enable them to weigh possible trade-offs between resourcing options and consequent force package capabilities. We originally used the VITRO approach to support the development of a concept of operations for domestic Chemical, Biological, Radiological, or Nuclear (CBRN) response for the Canadian Armed Forces. This papers aims to describe the approach in a concise and publicly accessible manner, to enable its broader dissemination amongst OR practitioners and application to other planning areas (military or civil). We use a domestic CBRN event respons
Operational Planning;Operational Concept;CBRN;Scenarios;Vignettes;Risk;Analysis;Biological;Capability;Chemical;Disaster response;Force structure;Homeland security;Military operations;National defence;Nuclear Planning;Radiological Risk assessment
Report Number
DRDC-RDDC-2017-P103 — External Literature
Date of publication
01 Jan 2018
Number of Pages
Reprinted from
Journal of Applied Operational Research, vol. 10, No. 1, p. 25 42
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