Booz Allen Hamilton

Requirements Analysis

Understanding mission needs and requirements

Issues and Challenges

  • Developing comprehensive and accurate user requirements that reflect mission and operational needs
  • Linking mission to need to land mobile radio (LMR) system performance requirements and justification of system acquisition
  • Ensuring system functions and features satisfy user needs throughout the system life cycle

User requirements form the foundation for system planning and acquisition, and they must be accurately defined to be certain that the system will meet user needs now and in the future. To that end, Booz Allen applies sound requirements analysis techniques that capture and characterize user requirements.

The Booz Allen Solution

  • Apply proven techniques to capture requirements by user community, relating needs by mission and operational scenario (e.g., normal operations, task force emergency response, and crisis management)
  • Ensure interoperability within and between user communities by characterizing the types and responsiveness of communications required for different operations
  • Ensure requirements are traceable and accountable throughout the system development process using robust tools
  • Develop Department of Defense (DoD) standard documentation for requirements (e.g., Required Operating Capabilities [ROC], and necessary justification and funding request documentation)

Why Booz Allen?

  • Our robust data collection tools and techniques ensure all user communities requirements are defined, minimizing the need for subsequent change orders that lead to higher costs and schedule slips.
  • We use accurate measurement devices and analysis tools that measure the use of spectrum over time, allowing for more accurate requirements profiles and spectrum planning.
  • We promote accuracy and traceability, which holds the system provider accountable for each design element, function, or feature.
  • We offer professional staff with expertise in DoD and LMR systems, enabling them to maximize efficiency in data collection and minimize disruption.
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