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(7) Training Return-on-investment Analysis, Investigation, and Evaluation Reasoning (TRAINER) Toolbox

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-F-0154
Agency Tracking Number: N193-A03-0367
Amount: $149,992.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N193-A03
Solicitation Number: 19.3
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-21
Award End Date (Contract End Date): 2020-04-20
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Spencer Lynn
 Senior Scientist
 (617) 491-3474
 slynn@cra.com
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Email: yfuller@cra.com
Research Institution
N/A
Abstract

To continue organizational excellence and world superiority, the Navy must make wise, evidence-based investments in training systems to maximize return-on-investment (ROI). To support Ready, Relevant Learning and increase Navy training ROI, Charles River Analytics proposes to design, develop, and demonstrate a prototype Training Return-on-investment Analysis, Investigation, and Evaluation Reasoning (TRAINER) Toolbox. TRAINER Toolbox is a set of decision support tools that enable training development, acquisition, and implementation decision makers to understand the evidence-based impacts of fidelity, cost, task, and trainee experience on training ROI and make informed decisions. TRAINER Toolbox extends our successful STRUDEL effort to gather and develop evidence-based models and theories on the effects of simulation fidelity on training effectiveness, expanding upon these models and theories and creating an actionable decision aid. TRAINER Toolbox features an Information Capture Tool to gather and import training ROI information; a Tradeoff Analysis Tool to perform evidence based analysis of individual training systems; and a Training Portfolio Analysis Tool to perform evidence based analysis of collections of training systems supported by an organization. Together, these tools enable a comprehensive and evidence based view of training ROI.

* Information listed above is at the time of submission. *

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