| Sampling Factors: |
Location (Not Relevant: No – Staff work seamlessly together using common tools, phone, VTC, desktop sharing, etc. There is no distinction re. work assignments based on site.)
Customer (Not Relevant: No – We only have one commercial project vs many federally funded projects)
Size (Not Relevant: No – Contracts exceeding 200K are eligible)
Organizational Structure (Not Relevant: No – covered by domain)
Type of Work (Not Relevant: No – covered by domain)
Domain: Domains cross divisions (i.e., org structure); more representative of our matrixed org |
| Sampling Factor Values: |
advanced analytics & modeling (Domain): Approaches issues in human centered engineering with quantitative methods from engineering, computer science, and mathematics, coupled with theories from social, behavioral, and cognitive sciences.
learning & training (Domain): Comprehensively tailor learning systems to student needs using adaptive and non-adaptive approaches.
performance measurement & assessment (Domain): Methods and tools to measure, assess, track, and report human-system and organizational performance.
cognitive systems integration (Domain): CSI combines the cognitive and neurosciences with model-based approaches to deliver system engineering services. From the identification of concepts and the establishment of requirements, to the design, implementation and testing of software prototypes, CSI delivers traceable and measurable artifacts of human systems to ensure integration and impact. |
| Subgroups: |
1: advanced analytics & modeling
12 People, 2 Basic Units
– advanced analytics & modeling
2: learning & training
17 People, 2 Basic Units
– learning & training
3: performance measurement & assessment
35 People, 3 Basic Units
– performance measurement & assessment
4: cognitive systems integration
3 People, 2 Basic Units
– cognitive systems integration |