U.S. Navy Naval Air Systems Command (NAVAIR) Path Analysis
Welcome!
This repository contains documentation describing the Navy Naval Air Systems Command (NAVAIR) Path Analysis engagement. It is intended to be a place where project team members, stakeholders, and other interested parties can keep track of goals, context, and resources as we work together.
NAVAIR
Established in 1966 as the successor to the Navy’s Bureau of Naval Weapons, NAVAIR is headquartered in Patuxent River, Maryland, with military and civilian personnel stationed at eight locations across the continental United States and one site overseas.
Vision
NAVAIR develops, delivers, and sustains aircraft, weapons, and systems – on time, on cost, with proven capability and reliability – so they succeed in every mission and return safely home.
Mission
NAVAIR's mission is to provide full life-cycle support of naval aviation aircraft, weapons and systems operated by Sailors and Marines. This support includes research, design, development and systems engineering, acquisition, test and evaluation, training facilities and equipment, repair and modification, and in-service engineering and logistics support.
Visit this page for more on NAVAIR and their work.
Engagement
NAVAIR HR would like to improve the quality of the data they collect and manage through better data modeling to inform the use of predictive analytics. This will allow them to better identify past trends and better plan for the future, strengthening hiring and retention forecasting to better serve Navy and Marine fleets.
18F and NAVAIR began this path analysis engagement on July 30th, 2018, with a kickoff workshop at Naval Air Station Patuxent River on August 9th, 2018. This phase of work is expected to conclude no later than September 30th, 2018.
Vision for this work
- Improve forecasting of attrition, retention, and hiring based on personnel needs to keep NAVAIR staffed with the right people with the right skills at the right time
- Enhance predictability through organized and structured data, using predictive analytics and data modeling to forecast out a five-year plan
- Develop a local model that can be expanded and rolled over to other areas
- Develop NAVAIR capacity to grow and extend these practices over time
Users and stakeholders
- HR administrators and specialists managing hiring offers
- Program managers and analysts making hiring requests and managing team size and number necessary for requirements
- Senior stakeholders overseeing program portfolios
- NAVAIR data analysts
- Others TBD (possibly recruiters)
The problem and our approach
Our work will focus on the problem of difficulties related to maintaining overall fleet readiness, which we believe is impacted by NAVAIR's ability to determine and predict, attract, and retain the skill sets needed both now and in the future.
To learn more and remedy this, we plan to learn and experiment with predictive analytics at the Fleet Readiness Center in Jacksonville, Florida. We then plan to apply learnings and innovations to all three major FRCs.
For more details on these, please visit this page on the problem and our approach.
Planned deliverables
- Problem definition and potential partner impact: the explicit objectives to achieve NAVAIR goals, based upon an investigation, and the level of impact felt by the organization or its user base
- Strategy, recommendations, and concept: a stated approach to achieve an outcome based on the organization’s unique position, including but not limited to its mission, context, resources, and risks
- When appropriate, limited prototypes, wireframes, data, or other documents we will generate
Project team and roles
NAVAIR
Ron Spalding (Digital Integration Operations Officer, PO candidate) - Helps with data across the enterprise and works on data strategy and governance using HR data.
Kevin Smith (Lead, Business Intelligence and Data Analytics Division, PO candidate) - Has relationship with NAVAIR digital office and is liaison to digital group. Focuses on analysis, people data, and forecasting.
John Martin (Manpower Analyst) - Performs data analysis and predictive analysis.
Todd Balazs (Digital Integration Officer)
18F
T.C. Baxter (Engineering) Leads data analysis as front and backend developer. Assesses data and data schema to frame possible improvements.
Andrew Suprenant (Product Manager and Lead) — Articulates vision for engagement in collaboration with the product owner. Regularly selects work of highest value to be prioritized in sprints. Cultivate alignment of product owner, development team, and key stakeholders. Identifies and works to resolve obstacles. Highlights and works to mitigate risk. Ensures progress moves forward and that the 18F team delivers.
Kathryn Connolly (Account Manager) — Provide support to project team and serves as liaison between NAVAIR and 18F.
Risks and mitigations
Risk: We are unable to access data and systems that will be critical to understand the current state at NAVAIR HR, informing this work.
Mitigation: We press hard for access to data and systems we need and call out lack of access as a critical blocking issue. At the same time, we move forward to make the most use of time as possible.
Risk: Time is, by design, short. This engagement can go many ways as we define our eventual scope.
Mitigation: Team to commit to a path early on and dig in. Partner accepts that the work done will not be a comprehensive review of everything that is possible.
Risk: Important concerns go unaddressed until they swell into larger problems.
Mitigation: Surface obstacles and anxieties early so we can address them as they arise.
Tools and resources
- Google Drive folder
- Project board (ZenHub)
- 18F Slack channel: #navair-pa
- Partner Slack channel: #navair-pa-partner
- Team notes
- Acronyms glossary
Reference - Engagement
Tock and staffing
- The 18F Tock code for billing time to this project is NAVAIR Path Analysis #903
- 18F staffing issue
Contributing
To provide feedback on this repository, open an issue.
Public domain
This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication.
All contributions to this project will be released under the CC0 dedication. By submitting a pull request, you are agreeing to comply with this waiver of copyright interest.