DOE G 413.3-19, Federal Staffing Guide for Project Management
Functional areas: Program Management, Project Management
This Guide provides an approach to determining the appropriate level and type of federal personnel needed to effectively plan, direct, and oversee project execution. Superseded by DOE G 413.3-19 Admin Chg 1.
Version history and related documents
Superseded by
A newer version replaces this document.
Document text
Text extracted from the attached file. Refer to the original document for the authoritative version.
Section 1
DOE G 413.3-19
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Staffing Guide
for Project Management
[This Guide describes suggested nonmandatory approaches for meeting requirements.
Guides are not requirements documents and are not to be construed as requirements in
any audit or appraisal for compliance with the parent Policy, Order, Notice, or Manual.]
U.S. Department of Energy
Office of Management
NOT
MEASUREMENT
SENSITIVE
DOE G 413.3-19 i (and ii)
6-3-2010
FOREWORD
This Department of Energy (DOE) Guide is for use by all Departmental elements. This Guide
provides an approach to determine the appropriate level and type of personnel to effectively plan,
direct, and oversee project execution. DOE Guides, which are part of the Department of Energy
Directives System, provide supplemental information for fulfilling requirements contained in
rules, regulatory standards, and DOE directives. Guides do not establish or invoke new
requirements nor are they substitutes for requirements. Guides are not to be construed as
requirements in any audit or appraisal for compliance with DOE Policies, Orders, Notices, or
Manuals.
DOE G 413.3-19 iii (and iv)
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TABLE OF CONTENTS
1.0 INTRODUCTION .............................................................................................................. 1
1.1 Background ............................................................................................................... 1
1.2 Purpose ...................................................................................................................... 1
1.3 Goal ........................................................................................................................... 3
1.4 Applicability ............................................................................................................. 3
1.5 Reference .................................................................................................................. 4
2.0 STAFFING MODEL IMPLEMENTATION ..................................................................... 4
2.1 Model Inputs ............................................................................................................. 4
2.2 Model Outputs .......................................................................................................... 6
2.3 Staffing Model Algorithm......................................................................................... 6
2.4 Approach to Using DOE Staffing Model .................................................................. 7
3.0 SUMMARY ...................................................................................................................... 19
APPENDIX A – Sample of Staffing Model Spreadsheet
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1.0 INTRODUCTION
1.1 Background
In April 2008, the Department of Energy (DOE) published the U.S. Department of
Energy Contract and Project Management Root Cause Analysis and subsequently
published the U.S. Department of Energy Contract and Project Management Root Cause
Analysis Corrective Action Plan in July 2008. The root cause analysis (RCA) identified
the most significant challenges impeding the improvement of DOE contract and project
management. One of the most significant issues identified was that, in many cases, DOE
did not have an adequate number of personnel with the appropriate skills to plan, direct,
and oversee project execution. The lack of adequate personnel with the requisite skills is
directly associated with the Department’s lack of effective management and oversight of
its contracts and projects.
Section 2
1.2 Purpose
The purpose of this Guide is to assist the Department of Energy's Federal Project
Directors (FPDs) and the project teams with the knowledge, methodologies, and tools
needed to support their projects. Projects that are effectively planned and executed with
the adequate level of oversight will help to ensure project success. This Guide is not a
Departmental requirement or a mandate but offers one simple methodology to establish
or validate the appropriate project staff size. This Guide does not need to be utilized if
another methodology is used. Other methodologies are noted below.
It is important to recognize that this Guide does not address the requisite skills including
the quality and experience of personnel. It is up to management to develop qualified
personnel through the recruiting and professional development process. The Department
has recognized and made great strides with existing certification programs to assist and
appropriately assign qualified personnel to project teams.
The Department’s staffing model provides the following:
a recommended range of project staffing based on specific project attributes
and
a proposed distribution of staffing by project functions based on the project type
and project phase.
Staffing consists of federal personnel that may be augmented with support service
contractors and/or other federal agency personnel. For projects executing under the
management and operating (M&O) business model, staffing also includes the M&O
project staff. The FPD should consult the M&O in determining the appropriate project
staff size.
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The Department should have a detailed understanding of its staffing needs and
requirements when making project decisions based on the specific project attributes. This
Guide and the associated staffing model assist the FPDs, their management, and the
Department, with staffing information to make appropriate decisions while providing the
FPD the discretion to adjust the staffing level based on justifiable supporting
documentation.
This Guide addresses the quantity of staffing for the FPD. This Guide does not address
the method for acquiring additional resources or the quality of the staffing. The quality
and experience of the staff are critical components and should be addressed by
management when filling vacant positions or providing the appropriate training for the
staff. This guide provides maximum flexibility in recognizing quality. It provides a
staffing range to accommodate the project and the quality and skill set of the proposed
project team members.
As noted, this Guide identifies one methodology for the FPD to determine appropriate
project staff size. Other methodologies are available. Whatever method is used, it should
be documented, well founded on sound judgment and experience, and benchmarked
against other projects that have been successfully executed with adequate staff. The FPD
could use one or a combination of the following methodologies in assessing staffing
needs:
Section 3
1. Bottom up assessment: To the extent practical that the FPD is able to perform it, a
preferred manner of assessing staffing needs is to do a bottom up assessment of
the actual scope of work to be incurred by the team and then performing a bottom
up estimate of the resources to meet those needs. This method requires that the
FPD have a good understanding of his project, its scope of work, what are the
roles, and how the functions are executed in the FPD’s environment. This method
is preferred because it is based on actual project knowledge, not on experience or
predictions from other sites, other projects, or other execution schema. But, it is
the most cumbersome primarily because of the resources and the time needed.
The steps, in general, involve understanding the scope of work, estimating the
total number of hours needed by discipline or functional area, and estimating the
associated staffing by discipline or functional area needed for the duration of the
project. This method can be used in combination with the other methodologies
where part of the scope of work is well understood, which is suitable for a firm
basis for direct estimation by the FPD, but other portions could be estimated
parametrically (or heuristically), such as those below.
2. Analogical assessment: To the extent that the FPD is aware that all or portion of
the scope of the project resembles the execution of a known but different project
which was successfully executed at its original performance baseline; the other
project can be used as a basis for the staffing baseline from which deltas can be
attributed. The pluses and minuses from the other project staffing can be made
based on understandings in the differences in the projects relative to contract
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structure, siting, project technical factors, regulations that apply, and
environments in which the FPDs operate, as examples. Like the bottom up
assessment above, this methodology can be employed in part for those portions of
a project scope for which analogy holds or for the project as a whole if the
inter-project analogies apply across the whole scope of the project. As much as
possible, the assessment should employ the bottom up approach. In principle, this
methodology is less preferred to a bottom up assessment but more so than purely
parametric approaches.
3. Parametric assessment: Absent reliable bottom up information or any analogies
for an FPD to draw upon for all or part of his staffing model, the FPD would
likely have to revert to parametric approaches. These techniques are empirical and
accordingly result in estimates for staffing that may or may not relate closely to
the FPD’s specific project. The DOE model, which is described in detail in the
rest of this document, relates staffing to expected annual costing, and many other
factors, via linear regression techniques. This model has an intuitive appeal in that
projects that incur higher spending rates generally would expect to correlate with
higher staffing needs. The model is parametric and its ability to predict staffing
levels is not exact; similar to most staffing models it should be used as a
guidepost to approximate staffing needs.
Section 4
4. Modified parametric assessment: The parametric approach described in the bulk
of this document is purely empirical and has been crafted considering a whole
range of DOE projects of different sizes, with different execution strategies, with
different program management approaches, with different technical content, and
with other differences, too. To the extent that the FPD has specific reasons to
adjust the parametric assessment to reflect a specific project, he/she may choose
to adjust the model to suit the project’s attributes, provided that there is clear,
documented rationale for doing so. Limited resources is not justification to
modify staffing needs. Staffing adjustments are made thereafter in the context of
resourcing realities. Ultimate staff sizes are typically workload driven, but
resource constrained.
1.3 Goal
The goal of this Guide is to support DOE’s initiatives to improve program, project, and
contract management through the identification of potential staffing levels to effectively
oversee projects and contracts.
1.4 Applicability
The Guide may be applicable to any DOE capital asset acquisition project, major item of
equipment project, environmental remediation project, or decontamination and
decommissioning project having a total project cost (TPC) of $20 million (M) or greater.
The principles of this Guide may be applied for projects having a TPC less than $20M.
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1.5 Reference
The DOE staffing model has been developed in a spreadsheet format (Appendix A) and
can be downloaded from:
http://www.management.energy.gov/policy_guidance/project_management.htm.
2.0 STAFFING MODEL IMPLEMENTATION
The model has been developed to provide staffing recommendations for current and
planned projects. With very few exceptions, most of the data fields include drop down
menus from which to select the appropriate project attribute associated with specific
projects. As the model is implemented and lessons are learned, additional refinements
will be made as part of a continuous improvement initiative. The following sections
describe the model inputs and outputs.
2.1 Model Inputs
The DOE staffing model incorporates several project-specific characteristics as inputs.
Collectively, these characteristics influence the recommended staffing levels for specific
projects. These characteristics include:
the project’s annual dollar value of work to be executed,
a productivity factor that relates to a reasonable dollar value managed per
person,
the type of project,
the complexity of the project,
the manner in which the project is being executed,
the project phase,
the level of regulatory involvement,
the degree of external influence,
the uniqueness of the project, and
the type of contract used to procure the project’s goods and services.
A summary of each of these project characteristics is included in Table 2.1, Project
Characteristics Influencing Staffing Levels. The DOE staffing model incorporates each of
these characteristics to account for the range of current and planned projects to be
executed by the Department.
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Table 2.1
Project Characteristics Influencing Staffing Levels
Project Characteristic Description
1. Project Value (PV)
The value of the project in terms of the dollars to be executed by
fiscal year influences the number of staff needed to plan, direct
and oversee project execution.
2. Productivity Factor
(PF)
Section 5
Productivity factor in this context refers to the reasonable amount
of project dollars that a single full time equivalent can effectively
manage in a fiscal year.
3. Project Type (PT)
The type of project (capital asset line item construction, major
item of equipment, decontamination and decommissioning, or
environmental remediation) influences staffing.
4. Project Complexity
(PC)
The project complexity, based on hazard categories
(DOE-STD-1027-92), facility importance rating (DOE M
470.4-1), and the technology level and maturity affects staffing.
5. Project Execution
(PE)
The method of project execution (DOE direct contracting, site
M&O execution, site M&O (non-profit), or site M&O
subcontractor execution) influences staffing.
6. Project Phase (PP)
The project phase (CD-0, CD-1, CD-2, or CD-3) impacts the level
of staffing, particularly in early planning stages to improve front
end planning.
7. Regulatory
Involvement (RI)
The satisfactory compliance with various regulations influences
the amount of staffing. The greater the project’s regulatory
involvement, the greater the staffing resources.
8. External Influence
(EI)
The degree of external influence on a project influences staffing.
The greater the external influence, the more staffing resources
required to manage the project.
9. Project Uniqueness
(PU)
The uniqueness of a project in terms of whether it is a first of a
kind impacts staffing levels. Unique or first-of-a-kind projects
typically require increased staffing.
10. Contract Type (CT)
The type of contract used to procure the project’s goods and
services (fixed price, cost reimbursement, or time and materials)
influences staffing.
Each of these project characteristics has been organized into a workload-based staffing
algorithm, which is depicted in Section 2.3, Staffing Model Algorithm. A more detailed
description and explanation of each project characteristic is included in Section 2.4,
Approach to Using DOE Staffing Model.
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2.2 Model Outputs
The DOE staffing model produces two primary outputs: recommended project staffing
and by functional area. A summary of these two outputs is included in Table 2.2, Staffing
Model Outputs. In order to establish recommended staffing across functions, DOE uses
pre-established functional area percentages based on project type and project phase.
While technically these percentages are not a staffing model output, they have been
included in the discussion due to their direct relationship to the recommended staffing
across functions. The staffing model does not prescribe a minimum or a maximum limit.
Table 2.2
Staffing Model Outputs
Model Output Description
1. Project Staffing (PS)
Project staffing is the recommended staffing level (unadjusted and
adjusted) based on the project characteristics. Project staffing is
adjusted by incorporating project characteristics into the staffing
model.
2. Functional Area
Percentages (FAP)
Functional area percentages are a distribution of staffing across
functional areas based on the project type and the project phase.
These percentages are pre-established by DOE and are multiplied
by the project staffing to establish the recommended staffing
across functions.
3. Recommended
Staffing (RS)
Recommended staffing is by functional area based on the staffing
model results and application of the functional area percentages.
A more detailed description and explanation of the staffing model output is included in
Section 2.4, Approach to Using DOE Staffing Model.
Section 6
2.3 Staffing Model Algorithm
Each of the project attributes identified above are incorporated into the DOE
workload-based staffing algorithm. The algorithm is comprised of three phases: establish
the project’s unadjusted staffing, adjust project staffing based on the project’s
characteristics, and allocate the project’s adjusted project staffing to contract and project
management functions. These phases and the associated algorithm are depicted in Figure
2.3-1, DOE Workload-Based Staffing Algorithm and further explained in Section 2.4,
Approach to Using DOE Staffing Model.
The staffing model should be a starting point as a point estimate with the full
understanding that the FPD has complete flexibility to apply a plus and minus range for
the staffing needs. There is no one exact correct staffing level. The right answer is the
staffing that can complete the project successfully. FPDs who use the staffing model
should not overly rely on it as the only methodology for project success. The staffing
model offers a range of options based on a range of factors including quality and
DOE G 413.3-19 7
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experience of personnel that are to be assigned; these attributes are not accounted for in
the staffing model. It merely provides a reasonable range of possible staffing levels.
Figure 2.3-1
DOE Workload-Based Staffing Algorithm
Step 1: Establish the Project’s Unadjusted Staffing
PV = PS (Unadjusted)
PF
Step 2: Adjust the Project’s Staffing Based on Project Characteristics
PS (Unadjusted) + PS (Unadjusted) (PT + PC + PE + PP + RI + EI + PU + CT) = PS (Adjusted)
Step 3: Allocate the Project’s Adjusted Project Staffing to Contract and
Project Management Functions
PS (Adjusted) x FAP = RS
Variable Acronyms
PV = Project Value
PF = Productivity Factor
PS = Project Staffing
PT = Project Type
PC = Project Complexity
PE = Project Execution
PP = Project Phase
RI = Regulatory Involvement
EI = External Influence
PU = Project Uniqueness
CT = Contract Type
FAP = Functional Area Percentages
RS = Recommended Staffing for Associated Functional Area
2.4 Approach to Using DOE Staffing Model
The following phases are to be followed to establish the recommended staffing levels for
specific projects.
Phase 1 – Identify the Annual Dollar Value of Work to be Executed by the Project
The project’s annual value of work to be executed within a given fiscal year is required in
order to establish recommended staffing levels. Therefore, phase 1 is to identify the
annual dollar value of work to be executed by the project and insert this value into the
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staffing model. The project team should consider taking the average across two or three
years to level load any annual spikes of project value.
Phase 2 – Establish a Productivity Factor to be Used
The productivity factor (PF) is defined as a reasonable amount of project dollars that a
full time equivalent (FTE) can effectively manage in a given fiscal year, and is in terms
of million dollars per FTE (M/FTE). Currently at DOE, the range in the PF is wide due to
various issues including the program office’s primary business model for project
execution. Use of the appropriate PF will be left to the discretion of the FPD and the
respective program office. The recommended values based on prevailing Departmental
business models within the three largest program offices are provided in the table below
for federal personnel to include support service contractors and/or other federal agency
personnel:
Section 7
Program Office Business Model Productivity Factor
Office of Science Non-Profit M&O $12.5 to $20.0M/FTE
National Nuclear Security
Administration
M&O
$12.5M/FTE
Office of Environmental
Management
Site Prime (including
Management and Integrating
or M&I)
$10.0M/FTE
The federal staffing, based on the table above, is a subset of the full staffing if the project
execution is via the M&O business model. The Department values its partners, the
M&O, for their experience and expertise. They too are a subset of the full staffing to
ensure the Department effectively addresses past GAO differences on federal oversight of
contracts. The FPD should consult the M&O in determining the appropriate project staff
size. The recommended values for full staffing that include the M&O project staff are
provided in the table below: (Over time, these productivity factors may be adjusted to
reflect future project experience and performance.)
Program Office Business Model Productivity Factor
Office of Science Non-Profit M&O $5.0 to $10.0M/FTE
National Nuclear Security
Administration
M&O
$5.0 to $10.0M/FTE
Office of Environmental
Management
M&O or M&I
$5.0 to $10.0M/FTE
Phase 3 – Develop an Unadjusted Project Staffing Level
Using the staffing model and entering the annual project value and productivity factors in
the appropriate data fields, the model calculates an unadjusted project staffing level. For
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example, if a particular project is planned to execute $125M worth of work in Fiscal Year
2011, and a productivity factor of $12.5M/FTE is being used, the unadjusted project
staffing level is 10 FTEs ($125/12.5 = 10). This is the preliminary recommended staffing
level before incorporating the project’s specific characteristics.
The first three phases comprise Step 1 as described and depicted in Section 2.3, Staffing
Model Algorithm.
The next eight phases include adjusting the recommended project staffing based on the
project’s characteristics. The characteristics influence the level of involvement required
to provide an adequate level of oversight and management. The factor values associated
with a project’s specific characteristics are incorporated into the DOE staffing model.
These characteristics and respective factor values are discussed and defined in the
following phases.
Phase 4 – Assign the Project Type and Associated Factor Value to the Project
For the purposes of the DOE staffing model, four project types have been identified.
These types are: capital asset line item construction (construction) projects, major item of
equipment (MIE) projects, decontamination and decommissioning (D&D) projects, and
environmental remediation (ER) projects, including soil and groundwater remediation
and nuclear material and waste stabilization and disposition activities. The project types
and their associated factor values are shown in Table 2.4-1, Project Types and Associated
Factor Values.
Table 2.4-1
Project Types and Associated Factor Values
Project Type Factor Value
Environmental Remediation (ER) 0.075
Decontamination and Decommissioning (D&D) 0.050
Capital Asset Line Item Construction (construction) 0.025
Major Item of Equipment (MIE) 0.000
For each project, identify and enter the appropriate project type. The factor values have
been built into the DOE staffing model and therefore will automatically adjust staffing
levels. For example, a D&D project with a factor value of 0.050 will increase an
unadjusted project staffing level of 10 FTEs by 5 percent, or 0.5 FTE.
Section 8
Phase 5 – Assign a Project Complexity and Associated Factor Value to the Project
Each DOE project has a level of complexity associated with it. For the purposes of the
DOE staffing model, project complexity has been defined by incorporating the hazard
category, the facility importance rating, and the technology being implemented.
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The nuclear hazard category is defined in accordance with DOE-STD-1027-92,
Attachment 1, Hazard Categorization of DOE Facilities. This includes the following:
Hazard Category 1 – Hazard analysis shows the potential for significant off-site
consequences. (Category A reactors greater than 20 megawatts and facilities
designated by Program Secretarial Officer.)
Hazard Category 2 – Hazard analysis shows the potential for significant on-site
consequences. (Facilities with potential for nuclear criticality events or sufficient
quantities of hazardous material and energy, which would require on-site
emergency planning activities.)
Hazard Category 3 – Hazard analysis shows the potential for significant but
localized consequences. (Facilities with quantities of radioactive materials, which
meet or exceed the DOE-STD-1027-92 Table A.1 values).
The facility importance rating, takes into account safeguards & security, is defined in
accordance with DOE M 470.4-1, Chapter II, Importance Ratings. This includes the
following:
“A” Importance Rating – Facilities that meet any of the following criteria:
engaged in administrative activities considered essential to the direction and
continuity of the overall DOE nuclear weapons program; authorized to possess
Top Secret or possess SAP matter or designated as Field Intelligence Elements;
authorized or possess Category I quantities of Special Nuclear Material (SNM)
(including facilities with credible roll-up quantities of SNM to a Category I
quantity); or critical infrastructure programs determined to be essential by DOE
line management.
“B” Importance Rating – Facilities that meet any of the following criteria:
engaged in activities other than those categorized as “A” and authorized to
possess Secret (S)/Restricted Data (RD) and/or weapon data matter; authorized to
possess Category II quantities of SNM; or authorized to possess certain categories
of biological agents.
“C” Importance Rating – Facilities that meet any of the following criteria:
authorized to possess Categories III and IV quantities of SNM or other nuclear
materials requiring safeguards controls or special accounting procedures; or
authorized to possess classified information or matter other than the type
categorized for “A” and “B” facilities.
“D” Importance Rating – Facilities that provide common carrier, commercial
carrier, or mail service and are not authorized to store classified information or
matter, or nuclear material during nonworking hours.
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“PP” (Property Protection) Importance Rating – Facilities for which a special
standard of protection must be applied.
“NP” (Non-Possessing) Importance Rating – Facilities that have authorized
access to classified information or matter, or SNM at other approved locations.
Non-possessing facilities do not themselves possess any classified information or
matter, or SNM.
The technology implemented is a relative measure of the technology maturity and
complexity of the technology being deployed for the project. Technology maturity is
measured using technology readiness levels. The following are examples of technology
level complexity:
Section 9
Low Technology – Office buildings, laboratories and warehouses.
Medium Technology – Process plants using mature technology and standard
design methods; experimental and specialty facilities using mature technology;
complicated facility but replicate of previously designed/contracted facility;
decontamination and decommissioning and site environmental remediation of low
radioactive or chemical contamination of sites and facilities.
High Technology – Process plants using complex or experimental processes;
nuclear reactors; nuclear critical experiments; experimental and specialty facilities
using new, innovative, or not fully demonstrated methods; decontamination and
decommissioning and site environmental remediation of highly radioactive sites
and facilities.
The hazards and safeguards and security categories and technology implemented have
been integrated to establish a project complexity factor. Table 2.4-2, Project Complexity,
defines the technology, hazards and safeguards and security conditions to document a
project as high, medium or low complexity.
Table 2.4-2
Project Complexity (PC)
Technology
Implemented
Hazard Category (HC) and Facility Importance Rating (FIR)
1/2 (HC) or A/B
(FIR)
3 (HC) or C (FIR)
None I(H) or
D/PP/NP (FIR)
High PC-H PC-H PC-M
Medium PC-H PC-M PC-L
Low PC-M PC-L PC-L
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The combination of technology, hazards and facility importance rating associated with
each project results in one of three complexity designations: high complexity (PC-H),
medium complexity (PC-M), and low complexity (PC-L).
The factor values assigned to specific levels of project complexity are shown in Table
2.4-3, Project Complexity and Associated Factor Values.
Table 2.4-3
Project Complexity (PC) and Associated Factor Values
Project Complexity Factor Value
High (PC-H) 0.2
Medium (PC-M) 0.1
Low (PC-L) 0.0
For each project, identify the appropriate level of project complexity. Projects with
complexity of medium and high require an increase in staffing of 10% and 20%,
respectively.
Phase 6 – Assign the Method of Project Execution and Associated Factor Value to
the Project
DOE projects are executed in various manners and the need for additional staffing
depends on how a project is being executed. Four project execution methods have been
established and are identified, along with their associated factor values in Table 2.4-4,
Project Execution and Associated Factor Values.
Table 2.4-4
Project Execution and Associated Factor Values
Project Execution Factor Value
DOE – DOE contracts directly with non-M&O contractor 0.5
DOE/M&O – M&O self performs work 0.2
DOE/M&O (non-profit) – M&O non-profit self performs work 0.1
DOE/M&O (non-profit)/Sub – M&O (non-profit) contractor issues
work to subcontractor
0.0
DOE/M&O/Sub – M&O contractor issues work to subcontractor 0.0
For each project, identify and enter the method of project execution. The factor values
compensate for the layers of project management between DOE and the actual work. The
closer the actual work is to DOE, the higher the staffing levels required to provide
management and oversight. For example, for projects executed directly by DOE and
without the benefit of an M&O contractor, an additional 50% (0.5 factor value) in
staffing is recommended.
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If estimating the full staffing that includes the M&O project staff, the project execution
factor value is 0.
Phase 7 – Assign the Project Phase and Associated Factor Value to the Project
Section 10
DOE projects are executed in phases as defined by critical decisions (CD). The following
CDs are established for DOE projects.
CD-0 – Approval of Mission Need
CD-1 – Approval of Alternative Selection and Cost Range
CD-2 – Approval of Performance Baseline
CD-3 – Approval of Start of Construction
CD-4 – Approval of Start of Operations or Project Closeout
As projects proceed through the CD process, it is recognized that the staffing level will
vary. The project phase adjustments are identified in Table 2.4-5, Project Phase and
Associated Factor Values. For the purposes of the DOE staffing model, CD-0 is referred
to the project phase prior to CD-1 approval, CD-1 the phase prior to CD-2 approval,
CD-2 the phase prior to CD-3 approval, and CD-3 the phase prior to CD-4 approval.
Table 2.4-5
Project Phase and Associated Factor Values
Project Phase Factor Value
CD-0 – Prior to CD-1 Approval 2.0
CD-1 – Between CD-1 and CD-2 1.0
CD-2 – Between CD-2 and CD-3 0.5
CD-3 – Between CD-3 and CD-4 0.0
For each project, identify and enter the project phase. The factor values compensate for
the indirect relationship between the annual project dollar value of work in early project
phases and the staffing required for an adequate level of front end planning. It is
imperative based on past history that there is an appropriate level of staffing for an
adequate level of front end planning. While smaller dollars may be spent from CD-0 to
CD-2, greater involvement may be warranted from CD-0 to CD-2, and the project phase
and associated factor address this need.
Phase 8 – Assign the Level of Regulatory Involvement and Associated Factor Value
to the Project
The degree of regulatory involvement impacts the level of staffing required to adequately
provide project oversight. For the purposes of the staffing model, three levels of
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regulatory involvement have been established: high, medium and low. Table 2.4-6,
Regulatory Involvement and Associated Factor Values, identify the factor values
associated with varying degrees of regulatory involvement.
Table 2.4-6
Regulatory Involvement and Associated Factor Values
Regulatory Involvement Factor Value
High 0.10
Medium 0.05
Low 0.00
For each project, identify and enter the degree of regulatory involvement.
Phase 9 – Assign the Level of External Influence and Associated Factor Value to the
Project
The degree of external influence on the project also impacts the level of staffing.
Similar to regulatory involvement, three levels of external influence have been
established: high, medium and low. Table 2.4-7, External Influence and Associated
Factor Values, identifies the factor values associated with varying degrees of external
influence.
Table 2.4-7
External Influence and Associated Factor Values
External Influence Factor Value
High 0.10
Medium 0.05
Low 0.00
For each project, identify and enter the appropriate degree of external influence.
Phase 10 – Assign the Project Uniqueness and Associated Factor Value to the
Project
Several DOE projects are unique in that they represent experimental and specialty
facilities using new or innovative methods or are not fully demonstrated. Such projects
should be considered unique or first-of-a-kind and warrant additional staffing to address
the specialized project requirements.
DOE G 413.3-19 15
6-3-2010
Table 2.4-8
Project Uniqueness and Associated Factor Values
Project Uniqueness/First-of-a-Kind Factor Value
Yes 0.1
Section 11
No 0.0
For each project, identify whether the project is unique and a first-of-a-kind or not.
First-of-a-kind/unique projects have a factor value of 0.1 and will be allocated an
additional 10% staffing.
Phase 11 – Assign the Contract Type and Associated Factor Value for the
Project
There are a number of contracts used by DOE to procure goods and services. Certain
contract types require more involvement than others. DOE has identified seven
contract types (based on the Federal Acquisition Regulation, Part 16) most commonly
used to procure goods and services. Accordingly, Table 2.4-9, Contract Type and
Associated Factor Values, establishes the factor values associated with the prime
contract. In general, fixed price contracts do not require additional staffing and
therefore have factor values of 0.0. In contrast, time and materials and indefinite
delivery/indefinite quantity contracts have been assigned a factor value of 0.2
representing a 20% increase in recommended staffing to provide adequate management
and oversight of these contract types.
Table 2.4-9
Contract Type and Associated Factor Values
Contract Type Factor Value
Time and Materials (T&M) 0.2
Indefinite Delivery/Indefinite Quantity (ID/IQ) 0.2
Incentive (Cost Reimbursement) 0.1
Cost Reimbursement 0.1
Incentive (Fixed Price) 0.0
Fixed Price (Economic Price Adjustment, No Incentive) 0.0
Fixed Price (Firm, No Incentive) 0.0
For each project, identify and assign the appropriate contract type that represents how the
majority of goods and services are being procured. At the completion of assigning the
appropriate contract types to each project, all the project characteristics impacting
staffing levels have been completed.
16 DOE G 413.3-19
6-3-2010
Phase 12 – Determine the Recommended Range of Project Staffing Based on Project
Characteristics
Based upon the project data entered from Phases 1-11, the next phase is to determine the
recommended staffing for projects. While the DOE staffing model automatically
calculates the recommended staffing, there are other factors to consider as well. The
model produces a single point estimate for recommended staffing. The approach to be
taken is to consider the optimal staffing by employing a range of plus or minus 10 to 20
percent of the staffing model point estimate. In other words, if the model projects a
staffing level of 20 FTEs for a particular project, the optimal range may be between 16
and 24 FTEs. The FPD is responsible for decisions regarding the most appropriate
staffing levels, and the performance of the project may influence the level of staffing
within this range. For example, projects that are rated green may have adequate staffing
on the low end of the range where projects that are red or yellow trending towards red
may warrant staffing levels on the higher end of the range.
Phases 4 through 12 constitute Step 2 and provide the FPD and DOE with a
recommended range of staffing for specific projects.
Phase 13 – Distribute the Recommended Staffing Across Functional Areas
The third and last step is comprised of allocating the recommended staffing across
contract and project management functions. This is done to establish the necessary skills
required to support projects based upon the project type and project phase.
The staffing model section on functional area percentages identifies the recommended
project staffing across a total of ten functions depending on the type of the project and the
phase of the project. The ten functions and their associated activities are identified below.
Section 12
Acquisition, Contract and Subcontract Management: acquisition planning,
contract administration, subcontract management, personal property management,
real property management, industrial relations, procurement counsel, cost
analysis.
Project Planning, Control and Management: project planning, cost estimating,
scheduling, risk management, performance measurement and earned value
management, project direction.
Science, Engineering and Design Support: physical sciences, civil/structural
engineering, mechanical/electrical engineering, fire protection engineering,
instrumentation and control, environmental engineering, chemical engineering,
nuclear engineering.
Construction Oversight and Management: work inspection, field engineering
management, construction compliance.
DOE G 413.3-19 17
6-3-2010
Environment, Safety and Health: environmental compliance, National
Environmental Policy Act, criticality safety, industrial hygiene, nuclear safety,
occupational safety (including construction safety), radiation protection,
emergency management.
Quality Assurance: quality surveillance, quality control and compliance.
Finance and Administration: financial management (including annual funding
and budgeting), human resources, legal, accounting, auditing, information
technology, logistics, transportation.
Safeguards and Security: physical security, material safeguards.
Operations Oversight: commissioning, deactivation and decommissioning,
environmental remediation (including soil and groundwater remediation, and
waste and nuclear material stabilization and disposition).
Public Affairs and Stakeholder Relations: congressional and stakeholder
communications, regulatory negotiations, media interaction.
Tables 2.4-10 to 2.4-13 represent the recommended percentage staffing distribution by
function depending on the project phase. Each project type has a unique distribution of
staff by function as determined by input from DOE program offices.
Table 2.4-10
Construction Project Functional Area Percentages
Function
Construction
CD-0 CD-1 CD-2 CD-3
Contracting, Subcontracting, and Property
Management
15% 5% 10% 20%
Program and Project Planning, Control and
Management
25% 20% 20% 20%
Science, Engineering, and Design Support 25% 38% 20% 20%
Construction Oversight and Management 0% 2% 3% 5%
Quality Assurance 0% 0% 6% 5%
Environment, Safety, and Health 20% 20% 20% 10%
Finance and Administration 5% 5% 5% 5%
Safeguards and Security 5% 5% 5% 4%
Operations Oversight 0% 0% 10% 10%
Public Affairs and Stakeholder Relations 5% 5% 1% 1%
Total 100% 100% 100% 100%
18 DOE G 413.3-19
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Table 2.4-11
Major Item of Equipment Project Functional Area Percentages
Function
Major Item of Equipment
CD-0 CD-1 CD-2 CD-3
Contracting, Subcontracting, and Property
Management
25% 15% 25% 8%
Program and Project Planning, Control and
Management
30% 38% 35% 35%
Science, Engineering, and Design Support 15% 15% 15% 15%
Construction Oversight and Management 0% 0% 0% 5%
Quality Assurance 0% 0% 5% 5%
Environment, Safety, and Health 3% 5% 5% 15%
Finance and Administration 22% 20% 10% 10%
Safeguards and Security 0% 2% 3% 3%
Operations Oversight 0% 0% 2% 4%
Public Affairs and Stakeholder Relations 5% 5% 0% 0%
Total 100% 100% 100% 100%
Table 2.4-12
Environmental Remediation Project Functional Area Percentages
Function
Environmental Remediation
CD-0 CD-1 CD-2 CD-3
Contracting, Subcontracting, and Property
Management
30% 15% 15% 20%
Section 13
Program and Project Planning, Control and
Management
15% 30% 30% 20%
Science, Engineering, and Design Support 20% 20% 12% 7%
Construction Oversight and Management 0% 2% 3% 5%
Quality Assurance 0% 0% 7% 5%
Environment, Safety, and Health 10% 15% 15% 20%
Finance and Administration 15% 10% 5% 8%
Safeguards and Security 5% 3% 3% 5%
Operations Oversight 0% 0% 5% 5%
Public Affairs and Stakeholder Relations 5% 5% 5% 5%
Total 100% 100% 100% 100%
DOE G 413.3-19 19 (and 20)
6-3-2010
Table 2.4-13
Decontamination and Decommissioning Project Functional Area Percentages
Function
Decontamination and
Decommissioning
CD-0 CD-1 CD-2 CD-3
Contracting, Subcontracting, and Property
Management
30% 15% 15% 20%
Program and Project Planning, Control and
Management
15% 30% 30% 20%
Science, Engineering, and Design Support 20% 20% 12% 10%
Construction Oversight and Management 0% 2% 3% 5%
Quality Assurance 0% 0% 6% 5%
Environment, Safety, and Health 10% 15% 15% 20%
Finance and Administration 15% 10% 8% 8%
Safeguards and Security 5% 5% 5% 5%
Operations Oversight 0% 0% 5% 5%
Public Affairs and Stakeholder Relations 5% 3% 1% 2%
Total 100% 100% 100% 100%
Based on the project type and project phase, the DOE staffing model provides a
recommended staffing by each of the ten functions. Again, the actual number of
personnel assigned to each respective area is the decision of the FPD. The model is
simply a tool to assist in determining staffing levels and allocating across contract and
project management functions.
3.0 SUMMARY
The intent of this guide is to provide DOE Federal Project Directors with a resource to
establish a basis for staffing projects and provide a reasonable staffing range. The result
should be an adequate level of project staffing resulting in an improvement in the federal
oversight and management of projects and in project cost and schedule performance.
DOE G 413.3-19 Appendix A
6-3-2010 A-1
APPENDIX A – SAMPLE OF STAFFING MODEL SPREADSHEET
Appendix A DOE G 413.3-19
A-2 6-3-2010
DOE G 413.3-19 Appendix A
6-3-2010 A-3 (and A-4)