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......@@ -67,7 +67,7 @@ representative <abbr title="Electromagnetic Spectrum Certification OR Evaluation
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</span></p><p class="paragraph"><em>Note</em> : Operational capabilities (<abbr title="Operational Capability">OC</abbr>) are depicted for context, but are
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NOT rated or assigned colored indicators.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 0px;-webkit-text-decoration:none;text-decoration:none;background-color:#fff;color:#3B454E;}.css-121mngu .nextBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 0px;-webkit-text-decoration:none;text-decoration:none;background-color:#fff;color:#3B454E;}.css-121mngu .nextBtn:hover,.css-121mngu .previousBtn:hover{-webkit-text-decoration:none;text-decoration:none;border:1px solid #2dc4f3;}.css-121mngu .nextBtn:hover .rightArrow,.css-121mngu .previousBtn:hover .leftArrow{color:#2dc4f3;}.css-121mngu .leftArrow{display:block;margin:0px;color:rgb(157,170,182);-webkit-flex:0 0 auto;-ms-flex:0 0 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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">RATING TENETS AND PRINCIPLES</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">The following discusses some basic tenets or principles as applied by
<abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>.</p><h1 class="heading1" id="rating">Rating</h1><p class="paragraph"><em>Rating</em> (a verb) is the process of analyzing, evaluating, and informing
on &quot;something&quot;---for <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>, the &quot;something&quot; are the <abbr title="Effectiveness and Suitability">E&amp;S</abbr>, COIs, and
Measures elements of the <abbr title="Operational Test">OT</abbr>&amp;E Construct forming the <abbr title="Operational Test">OT</abbr>&amp;E Evaluation
Structure. Typically, the results or conclusions are done with a
<em>rating</em> (a noun)---a shorthand to communicate the conclusions from the
analysis and evaluation.</p><h2>Terminology</h2><p class="paragraph">The term rating is a general term. Based on various guidance (e.g.,
Title 10), the particular levels of the <abbr title="Operational Test">OT</abbr>&amp;E Evaluation Structure use
specific terminology:</p><ul><li><p class="paragraph">We <em>Determine</em> <abbr title="Effectiveness and Suitability">E&amp;S</abbr></p></li><li><p class="paragraph">We <em>Answer</em> COIs</p></li><li><p class="paragraph">We <em>Rate</em> Measures</p></li></ul><p class="paragraph">We use a rating to summarize the conclusions for each of these.</p><h2>Report</h2><p class="paragraph">A report is the tool used to package and communicate results of test
events. An <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> test report can come a wide variety of formats---an
email, a memorandum, a briefing, or a lengthy structured document.
<abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> provides standardized forms or templates test teams use, or
tailor, to create a report.</p><h1 class="heading1" id="ratingsandvisualindicators">Ratings and Visual Indicators</h1><p class="paragraph">Within rating taxonomies, the definition corresponds to the visual
indicator (color code) differently depending on which level of the <abbr title="Operational Test">OT</abbr>&amp;E
evaluation structure it applies to. <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> applies visual indicators to
ratings at various levels to give readers a basic understanding of the
conclusion without having to read the complete narrative (Figure 4).
However, the words associated with the colors are different at each
level so test teams must familiarize themselves with the actual rating
and avoid phrases such as, &quot;The <abbr title="Measure of Performance">MOP</abbr> was rated Yellow.&quot;</p><p class="paragraph">Figure 4. Rating Definitions vs Visual Indicator</p><p class="paragraph"><span class="gatsby-resp-image-wrapper" style="position:relative;display:block;margin-left:auto;margin-right:auto;max-width:585px">
<a href="/static/c63b7dbae6812abcf7b6b5d97ebbb864/78a22/image6.png" target="_blank" rel="noopener noreferrer">
<span class="gatsby-resp-image-background-image" style="padding-bottom:68.72586872586874%;position:relative;bottom:0;left:0;background-image:url(&#x27;data:image/png;base64,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&#x27;);background-size:cover;display:block"></span>
<img class="gatsby-resp-image-image" alt="image6" title="image6" src="/static/c63b7dbae6812abcf7b6b5d97ebbb864/78a22/image6.png" srcSet="/static/c63b7dbae6812abcf7b6b5d97ebbb864/a2ead/image6.png 259w,/static/c63b7dbae6812abcf7b6b5d97ebbb864/6b9fd/image6.png 518w,/static/c63b7dbae6812abcf7b6b5d97ebbb864/78a22/image6.png 585w" sizes="(max-width: 585px) 100vw, 585px" style="width:100%;height:100%;margin:0;vertical-align:middle;position:absolute;top:0;left:0" loading="lazy"/>
</a>
</span></p><h1 class="heading1" id="ratingtaxonomy">Rating Taxonomy</h1><p class="paragraph"><abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> uses the rating taxonomy to indicate results from analyzing,
evaluating, and rating a test activity across levels of the <abbr title="Operational Test">OT</abbr>&amp;E
evaluation structure. It provides the traceability and rationale for
conclusions drawn at each level. Currently, there are three pre-defined
rating taxonomies that support established test activities (<abbr title="Operational Test">OT</abbr>&amp;E/<abbr title="Operational Utility Evaluation">OUE</abbr>,
<abbr title="Early Operational Assessment">EOA</abbr>/<abbr title="Operational Assessment OR Operational Availability">OA</abbr>, and <abbr title="Operational Utility Assessment">OUA</abbr>). These taxonomies enable consistency when reporting
test results. A brief summary of each follows.</p><h2><abbr title="Operational Test">OT</abbr>&amp;E and <abbr title="Operational Utility Evaluation">OUE</abbr> Rating Taxonomy</h2><p class="paragraph">This taxonomy is used for programs acquired within one of the six
adaptive acquisition pathways (&quot;<abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> <abbr title="Operational Test">OT</abbr>&amp;E Guide&quot; contains info on
pathways). <abbr title="Operational Test">OT</abbr>&amp;Es for these acquisitions inform development activities
and acquisition decisions. Effectiveness and suitability is determined
and reported.</p><h2><abbr title="Early Operational Assessment">EOA</abbr> and <abbr title="Operational Assessment OR Operational Availability">OA</abbr> Rating Taxonomy</h2><p class="paragraph">This taxonomy is used for test activities where progress toward both
effectiveness and suitability and programmatic progress are being
determined and reported. <abbr title="Early Operational Assessment">EOA</abbr>/OAs are broken into two areas.</p><ul><li><p class="paragraph">Area 1. Used to rate system/capability progress and assesses
progress toward operational capabilities (<abbr title="Effectiveness and Suitability">E&amp;S</abbr>).</p></li><li><p class="paragraph">Area 2. Used to rate programmatic progress and assess progress
toward delivery of combat capability. The test team assesses major
impacts affecting the progress toward <abbr title="Program Executive Office / Officer">PEO</abbr> certification of final
<abbr title="Operational Test">OT</abbr>&amp;E activities by assessing three separate programmatic topics as
organized in <abbr title="Air Force Manual">AFMAN</abbr> 63‑119. The three topics are test planning and
documentation, system design and performance, and test assets and
support.</p></li></ul><h2>Operational Utility Assessment (<abbr title="Operational Utility Assessment">OUA</abbr>) Rating Taxonomy</h2><p class="paragraph">This taxonomy is used for non-traditional programs (joint concept
technology demonstrations) when operational utility is being determined
and reported. OUAs provide the test team&#x27;s judgment of a system&#x27;s
military utility when exposed to representative threats while being
operated and maintained in a realistic operational environment by
typical operators and maintainers.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 0px;-webkit-text-decoration:none;text-decoration:none;background-color:#fff;color:#3B454E;}.css-121mngu 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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">Ratings for Continuous and Cumulative Feedback</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">The majority of <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> programs require continuous feedback during
system development due to agile software development approaches with
rapid release and fielding cycles. However, <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> provides some degree
of continuous feedback on all programs to inform development activities.
In these cases, <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> provides <abbr title="Measure of Effectiveness">MOE</abbr> impacts when practical, but rarely
provides <abbr title="Critical Operational Issue">COI</abbr> and <abbr title="Effectiveness and Suitability">E&amp;S</abbr> ratings. Reporting results in a timely manner is
critical and limits the amount of analysis and results <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> can
provide beyond the <abbr title="Measure of Performance">MOP</abbr>/<abbr title="Measure of Suitability OR Military Occupational Specialty">MOS</abbr> level. Furthermore, stakeholders may not need
feedback beyond the <abbr title="Measure of Performance">MOP</abbr>/<abbr title="Measure of Suitability OR Military Occupational Specialty">MOS</abbr> level at that time.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 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......@@ -21,7 +21,7 @@ offer a focused opportunity to be directed by questions through the
different aspects of their duties and highlight issues they&#x27;ve
encountered in each. Finally, self-reported observations offer out-of-
sequence opportunities for team members to identify issues and solutions
they have uncovered during the normal accomplishment of their duties.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">Observations Review</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">As interviews are accomplished, or observations are submitted, the LL
Manager and division chief will sort through and initiate a disposition
of each observation. These observations will be reviewed with the
assistance of any pertinent experts or necessary process owners. If the
observation is determined to be valid, the Observation becomes a Lesson
Identified (LI), and proceeds to the next step. If the Observation is
deemed invalid, the LL manager will craft a response to the submitter
detailing why it was deemed invalid, and give the <abbr title="Test Director OR Technical Director OR Technology Development OR Technology Director">TD</abbr> the chance to
further elaborate if they think the decision was reached with incomplete
information or understanding.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 0px;-webkit-text-decoration:none;text-decoration:none;background-color:#fff;color:#3B454E;}.css-121mngu 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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">Dissemination</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">Once a &quot;Lesson Identified&quot; is found by the LL team, it must be assigned
an action officer. This action officer is given the task of developing
the actions necessary to incorporate the LI into the organization. These
actions are highly dependent on the individual LI, and will have to
adjust to the unique requirements of each LI.</p><p class="paragraph">Once implementation actions are identified, the action officer will need
to regularly report on progress towards completion and keep the LL
manager apprised of changes. The final goal of this process will be to
have each of these LL incorporated into training, the <abbr title="Operational Test">OT</abbr>&amp;E guide, or
OTIFs as appropriate; they will not exist within some stand-alone
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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">Lessons Learned (Resolution)</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">The final step is resolution, where the LI has reached a successful
implementation and dissemination. The LI has improved how the
organization performs the mission, and the LI is changed to a LL. The
implementation plan is closed and the LL is catalogued for reference.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 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) 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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">CONCLUSION</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><p class="paragraph">It is the place of every member of our organization to ensure <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>
continues to learn and adapt. We must give our organization every
opportunity to respond to new challenges in the <abbr title="Department of Defense">DoD</abbr> acquisition
environment however they arise, be it policy, funding, or global
situations. This process is one of the steps being taken to support our
combined efforts to face and learn from the challenges of our mission,
and depends on our partners across the <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> enterprise and their
willingness to participate to support this endeavor.</p><p class="paragraph">The <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> Lessons Learned process is owned by A-2/9, and staffed by
members of A-9O. Any questions, comments, or suggestions for improvement
can be directed to this office.</p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid rgb(230,236,241);-webkit-transition:border 200ms ease 0s;transition:border 200ms ease 0s;box-shadow:rgba(116,129,141,0.1) 0px 3px 8px 0px;-webkit-text-decoration:none;text-decoration:none;background-color:#fff;color:#3B454E;}.css-121mngu 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) 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) 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......@@ -7,7 +7,7 @@ how <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>
documentation. Appendix A provides examples of the types of continuous
and discrete measures. Appendix B provides checklists to ensure measures
are properly written. Appendix C discusses <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>’s process for writing
cyber measures.</p><p class="paragraph">Submit suggested changes to: <a href="mailto:AFOTEC.A2A9.Workflow@us.af.mil" target="_blank" rel="noopener noreferrer"><abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>.A2A9.Workflow@us.af.mil</a></p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid 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cyber measures.</p><p class="paragraph">Submit suggested changes to: <a href="mailto:AFOTEC.A2A9.Workflow@us.af.mil" target="_blank" rel="noopener noreferrer"><abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr>.A2A9.Workflow@us.af.mil</a></p></div><div class="addPaddTopBottom"><style data-emotion-css="121mngu">.css-121mngu{margin:0px;padding:0px;width:auto;display:grid;grid-template-rows:auto;-webkit-column-gap:24px;column-gap:24px;grid-template-columns:calc(50% - 8px) calc(50% - 8px);}.css-121mngu .previousBtn{cursor:pointer;-moz-box-align:center;-moz-box-direction:normal;-moz-box-orient:horizontal;margin:0px;padding:0px;position:relative;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;place-self:stretch;border-radius:3px;border:1px solid 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) 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wmD91ZyzJZpnUW6tqC5dYrKQAhSVwQ/kEeZvafv+Fpb+Q5Qzu4ZlvGRnYAnHybbfaMKLtaKoM9vhdKZ5b31mU73BQKB7mW8+0tJOkLwkiXZz8+ryxmGXyFStaljUfF3xaCnj1DSTafylLDw7U/CCE4mFgvzhiHoBZ4Jn7tYVD7Rnu6AY6xGTUxDz03npZNQLVajd7JZvtfO0Hbb5Ya8o/tuVeBwnGiaVxnQzx4Kk/2SwauW0OQxOukFvuSXQnxz4WotTv3j8XuOyXKUpeFmo9WXlBg3evlMeiIb+lWHaHvYURW6bKndjQZ5mDNvXhLBrB/X8wVgFGJRpt0W8AvVvjo14QsZjU9YQWoB4G53K80qqLLGjmzMVw3Lp9VC6afUFlO7Ony5KkDvD90zVkyvhUiGZxcUWfUggGkzIcekH7YtT2Csg2zdfmBeyNdrVgc7Q/84BxUMigUUU18ds0bmtfr2RLrAu6/DdBevJdCnLolB3BwHQ8LCaZLfbUIMrm2C8tadfclAwdPT0sfaRLqBsus8OIOL3C+p+SSaU9ffl6FERi7ezPd4Mhzza4xKx8h4syD13b5K/Sv9xFZyNGRq84DI6MtvCc5sszT7+Ic2nw0owNCbvUK6kNCI8GK1WIMjQ+bjUxKAfbelOtvODcRCqlR7k+Bu4GuluiKhS16SXP3uKwUFB9MqioVs1phkCt8noaF6JOZsW91FugWBFQaDNvr5vZNfrfu4+t7YAeCGLuHe+ZOSgxdn8gOzGt7jDw7riBTHt87HeuC+SOJI5EL+GX5UgryhRGel0AvlC+ccQ3/jCVSyNnYq7m2KPVMJTqA1Q/bCYRVJVOVWSq4OPGTsmgpP8LafGuUWfqxyeWwUROn0/Afc+v3yQpls8eGMl/7eCI7VgM3+DTqD7BUwbe+lhPh0SYINdjyVO99pW4lP9q3JHwm/9vszqBpkqBosxNNPvelPL8fQXxtkONpWR9dyP16nqIxZCX0pqjWhL2Ji+UesFeL4+JEnakLEjYrpiNRtBAeuapH5vwb9ddg7RtCJP+P8rjkwdapztvoUqBTd5Qe8B0CE04sDbwO5fDRDJj53gCdLxA6x7133fAZEjx+8HLi1zSCfkNhiTq/fm/k7gcxJYhee+ruG6RTdLLslBq2svWZVRgldhHjMdDw/vtIiYVSpz+Kb78MSYbUJYJam5ObZu2OUwaxK9sTlWW8AKa04mluPFkSXEzAk0Q8lKq2ai45RHw2YQZsN68QcM4vmedSaTF9mAulTRQG8VA6aaHFeY7RmrU949jpWIylUjeiV8WFhaXLz9ywxuCy0saUkjIcGecReSZju29e0+xNXNT2oo5NgRHojprMHLS+8NkYqGyaWJQbb1lnBCerd2+UklkmbN90ZOpZ1/6zEGEvF7FjAU/SF7FUz0l15nkGKvulPWCYWNqmYPrk40pF2kOahe2pBYj0I+wY4yReGUZJ6Q/lekQxM5Nf9nwEh0EAoG6OwTUobMap6YutkMzohobBDk+/HjWEf3ab7cK8T4hR3JpmEwotha/1OjFI4HPhR8UZMweMZdcLysfa3RjzujOMxd64yzCwqw73xbOrsARWos2YJ+zIrzPCtVBLJSgmnc9mNx1mNaC4KuKjTxbZvnJhlkCJ89iLXd0evgzgfG4c+H4tyDdathyf/Y4f2UHW59Ddp8dSLZPvU8GDZMftsyoE5CliDnNOGvRq7vzfJDAwIWoJ/rmhYmDlklltE53b7k0SvRd6e9x/WfW/Y0RRwjE692caAbJkAiycDL8pmYf2BtpmFFZ5fFYrVjVLIX/cVGB5tf2l3h05NKV+eq0pOmcNHOopCfdvrc+QH9NbjHXGtfjFLRj9rmyHGOiRXAnxo7V4mbM2OQdfVykpxPjf+zwbP8ZUx/9qklZKSdy6RyU9m3qCxuMJUBOW0NcaenFuPBS374rpNGKIFcaKiptYTgeZdG1dPeckRDOVSJn4upI/TLO99NXf7mKTXFQ+odWR5XgsJSmK/sYxf0y7wqg3M2IOhasI+C4FXnTWKjlp2zFQKlM+mvtHyWuXi+PvI0HHx9RiJSI0ed/LO748lpBeZKeXmgefxym6JsKcpnCD98t5MRUCB1GeoL5WJsjWrMmn66Z5B5b1+6YP5wfdCnzLo3HCGgU62c7zAm1GBKbZmqarw7el3ME8rZUe3SEsIvP5WBLz3lnGG1EGIeh6+bPxn+KYlMYv/zcfbGxGaiH2tskA1fSXjeJqpQulekgnUkjzlYEuXYs66vMjzLYq9gNXbc+zeAS1Z1PDbcRJkt5+Js+U/P+b9YKLWxUaI7Zm2tIU0QVfhHjz13+1bqYRIUS49uTz32RP6v8liSYtvctPYdWMOf3lLHcX/gh2MpMH9j0PpPF8FWpDBzBUoFdewxUlPSub7daE5b/xPD0ZXVro49zTPlrNa3fr+axxpmC3FvTXOEo6ydxztGy0P9+SrMQBQ/j7TVrzxVko7KHP3GE/OCXevRVgyWNlsNfsO6Uu7ShtMpfziLQhSTpCsapvEdZJd8uJzBZAeEohyk11du/EPn7G5ltbJBVtuJ0Wee6sh3GbgRWYQT/Yx6qsvFd1inGT2D65XRP//6omlyW9FMxmuL5MkhiXcwo4siFB6+BXRvmfFVNgOzkzzLfYDthlWG7+mO0Yh4DYwZH0RrWaE0mWi0N741j1liaBH1clAC9ENFny5IDWzuQ2RQeiQg+Wl81yaXjC5ko65hUtE8si/2NNpS9LLyGCJIrKKOme7HEke/1tGHkEMxz8T//geskuigkxJsBkmeHuhyDXLpSAg/BqrZ9f2OiCbF62fasp6uKH4LkBcO7J1n7oWUhJ4dOS1Vai/TW4kEhHbRToFkrdmnX7meJSxujGSK+6mKQjC88Z5PNFXes+7q9w+1d2zykQwR8sc4Yh40LVQyLg7gvcCxg+puw0GjJYX9dUTiwaN2yF46nMqjolkOrViwa0U0dRrD8gbEfG9vnfCiaZ6Z4qBKVek/jzdf2c2lkwkrZXNtr5hmqwrP9Ul/Qz4f/FBBv86+e7x3+gpv/xzfshjbob/iWj3/g8e+Xm50+tePQNtdTfvnf2anvz1HxJasr+H/Xu+r9KvX6ge3oKMV/GpvuAA/AnV92X9J/H9MJvWCOvdHPL1PH8PcV0/RUlgQ11uDAzlAtBlQeBOfO1BaQTHBJbEi0/HFDoljfYjZsidjEruBVE5g3sXIbtR7Sy6ppSQC7Zq3Lrv36sOngMrvff1qhzrl/e2bQKGpaOiXlvSZVOpD+NBrPPwT2IKr5ON8Ezy/TEtDNaQsGN8wotFa/piTApx3dhy2t6ZqjtNGuaHnzwFBtYWdXNIo4WY4OdnfWVwf721vLRTXh9cAp7wZ/i0lpCF0ccZkcHLWnRIQQM1IIy+cEueHO4DWrYKbUoFdMvIlvCkBTTEJYEiwMMZJOl3ZoBr1F6Qayu8xxc9HN510mlfxIvYmRGucbRyT3TJn4K+nhGf6pNH9lpIQCYAZUULWpXEULi26/LYc3ISpn03pG0/Qhkb/HpLKCxjtYwYzAAJd9UG4Yk7pWras9ezKax2FIMvM/FdgMMJUSapWW8CMiWwYIk6VQeC6ODM/vJWBlQPWO8+Vwh9G23ZKu2v4WtDqnbST1weEu4cIXQ8GaRxvMZB+T9iKNdk/1EL7uw8A1cp2NlVwgQswAlJqH7EjWt1TFtNsYanfnmnJthp7C9jc49iZ1fpl6o9jzbUy9iZ5fGuc+1hgKOTXAGdIAvXpoSVRjuvKAF8PjW/qeU0Ny6HHD1MK8iF58FvRgf1jcMcL3uMckZem5oi2LXgjKwyu2A4vZl6EV6t7f3Vwf1o18TKtn3XKI2g7WMfyIIEwLp4dwO+vRyLSmiQLK/R0a7Mbejlo1rydifq/c4woXkr/F/JiknM0/WwwcgutVChS/bQjE5BgxYHc3Tc3S5c+EER44QKT2SJygeE7UA8Bn+PS9DqvSpBc0IW8zqcsIE/nHxuWNyLBxvomfX6aGzjAVypBQxSxpCNQ4dDrcpWjRPEq7MbeNsrB7xWy/e1F7KZsp+kOmmbRhdtgJYMN9SHsJPWwkA220V5Y3NuMtSQwqmIjWxCHHz8awdXTf+O4d7+tJZ/RsKpex5d0mHWnTSODFOLEkFCGEhUBgimo6zrj5qQtiZZttbGfw1fH4aF9vNORxHV2HP3ke3apVdx1Dj9oEBDhZpjCC+AEQCurgKOlwX37e010qxCJ+D1zlYj/Wa8TQwWIAo90axyRefy+iPMK77VYlZ0TDcodPObCpV/cTwQ/6ByDqh+IUJixVGai4x6yU9mw69wsagcL37sq7aevi1DslUg1zXglkeDsuNCtrFODB2hHDy29ZD5h9ljy23Cz2AlVYxbyckd55Na1YbMoqRmo/MiHqTT+J7J+RGqCyklz6sDJmgA3DY5vKNCMv+ZxY1UlzEen7XdRabkNeAtbhXqaof2N9bnZkqLujUS/mtUw81nBLud+yexxZcnQ0yRn0WENiysytsWvJ3ef7nc2lJt2vSB2ONwkp34R3o1xNCvExFD2dAKTNw0hgOhklMd5UxQKBBaCVn1MGEFg5i2TsZaVIzgn2nvPkBOAdeDvXnteTQt5pjr2xnV/UlcTimyi8YJKQjb9gMqMV3ncYs0orMJzt46tZWNo/oN6GqkGeHRo8bAdvAoObm0vAA5/xRvDrwB71IMWQnFhxaj3YWLPtK9Vo5b9NVJsLuYbMzfa3k4bHDiIuXejrqbaUCmrC5xWCPlNRmk/keCK+mC0MBsLIJFGeEc5iDwqYXmPbijZXetW/iUqNmmkE/Sk2bzU/U6XdXBwh6yk85FXd9oQITIaKGCXqTi/Sc2xPKwfiLVLn6poYr1qlQjyW4vNWk7rDrKCnFBI40wszONdKncQgC0g+Yj7mHWHZl3Y5BWbewBeQw9AFEvShNZ9opSpdZ59p0TAAv+HX48Wpyc72mtVcTiZi0WxSztvMsTfF88tUGjTgwIDG+ipOsit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#2dc4f3;padding:0 16px;-webkit-flex:1;-ms-flex:1;flex:1;margin-top:0;padding-top:0;color:#000;}</style><h1 class="css-1n9w05f e17yakb10">SECTION 3: MEASURE DOCUMENTATION</h1><style data-emotion-css="qu2iew">.css-qu2iew{padding:1rem 1.5rem;text-align:right;}.css-qu2iew a{font-size:14px;font-weight:500;line-height:1em;-webkit-text-decoration:none;text-decoration:none;color:#555;border:1px solid rgb(211,220,228);cursor:pointer;border-radius:3px;-webkit-transition:all 0.2s ease-out 0s;transition:all 0.2s ease-out 0s;-webkit-text-decoration:none;text-decoration:none;color:rgb(36,42,49);background-color:rgb(255,255,255);box-shadow:rgba(116,129,141,0.1) 0px 1px 1px 0px;height:30px;padding:5px 16px;}.css-qu2iew a:hover{background-color:rgb(245,247,249);}</style><div class="mobileView css-qu2iew e17yakb11"></div></div><style data-emotion-css="1qktglx">.css-1qktglx{max-width:750px;color:#3B454E;}.css-1qktglx ul,.css-1qktglx ol{-webkit-padding-start:40px;-moz-padding-start:40px;-o-padding-start:40px;margin:24px 0px;padding:0px 0px 0px 2em;}.css-1qktglx ul li,.css-1qktglx ol li{font-size:16px;line-height:1.8;font-weight:400;}.css-1qktglx a{-webkit-transition:color 0.15s;transition:color 0.15s;color:#1000EE;}.css-1qktglx code{border:1px solid #ede7f3;border-radius:4px;padding:2px 6px;font-size:0.9375em;background:#fff;}@media (max-width:767px){.css-1qktglx{padding:0 15px;}}</style><div class="css-1qktglx e17yakb12"><h1 class="heading1" id="measuresworksheetoverview">Measures Worksheet Overview</h1><p class="paragraph">The Measures Worksheet is a template used to document and organize the
following details of a measure:</p><ul><li><p class="paragraph"><strong>Measure:</strong> A measure statement that describes what type of data is
being collected</p></li><li><p class="paragraph"><strong>Metric(s):</strong> The metric used to summarize the data (mean,
percentile, etc.)</p></li><li><p class="paragraph"><strong>Threshold (Optional):</strong> The threshold of performance used to
evaluate the effectiveness of the <abbr title="System Under Test">SUT</abbr></p></li><li><p class="paragraph"><strong>Results:</strong> The results attributed to observed and calculated data
procured during test execution</p></li><li><p class="paragraph"><strong>Rating (Optional):</strong> The comparison of Results against the
Threshold, communicating any <abbr title="Effectiveness and Suitability">E&amp;S</abbr> shortfall</p></li><li><p class="paragraph"><strong>Operational Capability:</strong> Attribute of the <abbr title="System Under Test">SUT</abbr> being measured
(MOPs/MOSs only)</p></li><li><p class="paragraph"><strong>References:</strong> The source document that motivated the creation of
the measure</p></li><li><p class="paragraph"><strong>Scope:</strong> The scope of the measure</p></li><li><p class="paragraph"><strong>Test Methodology:</strong> The test methodology used to generate the data</p></li><li><p class="paragraph"><strong>Test Design:</strong> The test design used to generate the data</p></li><li><p class="paragraph"><strong>Data and Analysis:</strong> Data that may be required to compute the
measure, formulas required, and the intended method of analysis</p></li></ul><p class="paragraph">Table 1 shows the measures worksheet template.</p><p class="paragraph">Table 1. Measures Worksheet Template</p><table><tbody><tr class="odd"><td><table><thead><tr class="header"><th>Operational Capability: State the OC (attribute)</th><th></th><th></th></tr></thead><tbody><tr class="odd"><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr class="even"><td>MOE/P/S X.Y: State the Measure (In Title Case)</td><td>State the specific metric</td><td>Provide the value/units and any conditions/subsets specified</td></tr><tr class="odd"><td><p class="paragraph">* KPP or Supports KPP (include as required)</p><p class="paragraph">^ Identified Standard (include as required)</p></td><td></td><td></td></tr></tbody></table><p class="paragraph"><strong>References:</strong> Provide the requirement source (stated or derived). Specify the paragraph, section, line, etc.</p><p class="paragraph"><strong>Scope:</strong> Describe the measure and how it relates to the operation in terms of duration, procedures, start/end times, limitations, etc… If the language in the measure or metric is not self-explanatory or is ambiguous, provide definition(s). For instance, define users, operators, successful or unsuccessful, and linkages to other measures. Concisely discuss operational relevance of the measure.</p><p class="paragraph"><strong>Test Methodology:</strong> Describe how the data used to support the measure is generated (modeling and simulation, open-air testing, analysis).</p><p class="paragraph"><strong>Test Design:</strong> Since tests are designed at the operation/COI level, this section will generally refer back to that level with the statement “Uses the overarching operation/COI test design.” However, if unique factors and levels for this measure are identified in the Test Conditions section above, then a separate test design for the measure is required and should be summarized here.</p><p class="paragraph"><strong>Data and Analysis:</strong> Identify the minimum data required to compute the metric(s). Describe how the data will be collected, the sources of the data, and instrumentation required to collect the data. Provide an overview of the expected analysis method(s), equations, algorithms, and tools necessary for analysis.</p></td></tr></tbody></table><h1 class="heading1" id="measuresworksheetheader">Measures Worksheet Header</h1><p class="paragraph">The header of the measures worksheet contains a concise summary of the
most important information regarding a measure. It states the attribute
of the <abbr title="System Under Test">SUT</abbr> the test team is interested in evaluating (operational
capability), a short title (measure statement) describing what is being
measured that will convey information about the attribute, how it will
be computed (the metric), and what will serve as the basis for judging
the metric (the threshold). Table 2 is an example of the standard format
for the measures worksheet header.</p><p class="paragraph">Table 2. Standard Measures Worksheet Header</p><table><thead><tr><th>Operational Capability: Accuracy</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.1: Miss Distance</td><td>Mean</td><td>≤20 meters</td></tr></tbody></table><p class="paragraph">The header can be expanded to accommodate more detailed requirements.
For instance, a requirement may provide context, such as an operational
condition, for a threshold of performance. The <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> convention is to
denote these specific conditions with the “@” symbol trailing the
threshold and preceding the condition. For example, if the miss distance
for a particular munition is specified for a particular wind speed
(condition), the measure would be as shown in table 3.</p><p class="paragraph">Table 3. Measures Worksheet Header with Conditions</p><table><thead><tr><th>Operational Capability: Accuracy</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.1: Miss Distance</td><td>Mean</td><td>≤20 meters @ 30 knots wind speed</td></tr></tbody></table><p class="paragraph">Sometimes the threshold of the metric changes depending on which
subcomponent or subset of the <abbr title="System Under Test">SUT</abbr> is being evaluated. In this case the
convention is to add the word “for” after the threshold and specify the
relevant subcomponent or subset. Consider the following requirements.</p><ul><li><p class="paragraph">“The system shall send deliver priority 1 messages within 30
seconds”</p></li><li><p class="paragraph">“The system shall send deliver priority 2 messages within 5 minutes”</p></li><li><p class="paragraph">“The system shall send deliver priority 3 messages within 15
minutes”</p></li><li><p class="paragraph">“The system shall send deliver priority 4 messages within 1 hour”</p></li><li><p class="paragraph">“The system shall send deliver standard messages within 6 hours”</p></li></ul><p class="paragraph">Table 4 shows these five requirements can be combined into one measure,
rather than five separate measures.</p><p class="paragraph">Table 4. Measures Worksheet Header with Combined Conditions</p><table><thead><tr><th>Operational Capability: Timeliness</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.1: Time to Deliver Messages</td><td>Mean</td><td>≤30 seconds for Priority 1</td></tr><tr><td></td><td></td><td>≤5 minutes for Priority 2</td></tr><tr><td></td><td></td><td>≤15 minutes for Priority 3</td></tr><tr><td></td><td></td><td>≤1 hour for Priority 4</td></tr><tr><td></td><td></td><td>≤6 hours for Standard</td></tr></tbody></table><p class="paragraph">This construct can be extended to create more complex measures that
include multiple metrics, thresholds, conditions, and subsets. Table 5
is an example of a multi metric/threshold measure.</p><p class="paragraph">Table 5. Measures Worksheet Header with Multi Metric/Threshold</p><table><thead><tr><th>Operational Capability: Timeliness</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.1: Time to Deliver Messages</td><td>50th Percentile</td><td>≤1 minute for Priority 1</td></tr><tr><td></td><td>80th Percentile</td><td>≤8 minutes for all others</td></tr><tr><td></td><td></td><td>≤3 minutes @ Wartime for Priority 1</td></tr><tr><td></td><td>99th Percentile</td><td>≤10 minutes for Priority 1</td></tr><tr><td></td><td></td><td>≤20 minutes for all others</td></tr></tbody></table><p class="paragraph">Combining thresholds for different conditions and subsets of the <abbr title="System Under Test">SUT</abbr> has
advantages and disadvantages. One advantage is the reduction in
documentation. One disadvantage is that each measure is rated only once
in a report, even if it has multiple thresholds. Thus if there is a mix
of good and bad results within one measure, the good news, the bad news,
or both may be hidden behind the single summary rating.</p><p class="paragraph">A measure is read aloud in a specific way to accurately convey its
contents. The measure is read: “The <!-- -->&lt;<!-- -->metric<!-- -->&gt;<!-- --> of the
<!-- -->&lt;<!-- -->measure<!-- -->&gt;<!-- --> is <!-- -->&lt;<!-- -->threshold<!-- -->&gt;<!-- -->.” For instance, the measure shown
in table 6 is read: “The <u>mean</u> of the <u>miss distance</u> is</p><u>less than or equal to 20 meters</u>.”<p class="paragraph">Table 6. Reading a Measure</p><table><thead><tr><th>Operational Capability: Accuracy</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.1: Miss Distance</td><td>Mean</td><td>≤20 meters</td></tr></tbody></table><h1 class="heading1" id="bodyofthemeasuresworksheet">Body of the Measures Worksheet</h1><p class="paragraph">The body of the measures worksheet contains five sections: References;
Scope; Test Methodology; Test Design; Data and Analysis.</p><p class="paragraph"><strong>References:</strong> Provide the requirement source (stated or derived).
Specify the paragraph, section, line, etc.</p><p class="paragraph"><strong>Scope:</strong> Describe the measure and how it relates to the operation in
terms of duration, procedures, start/end times, limitations, etc. If the
language in the measure or metric is not self-explanatory or is
ambiguous, provide definitions. For instance, define users, operators,
successful or unsuccessful, and linkages to other measures. Concisely
discuss operational relevance of the measure.</p><p class="paragraph"><strong>Test Methodology:</strong> Describe how the data used to support the measure
is generated (modeling and simulation, open-air testing, analysis).</p><p class="paragraph"><strong>Test Design:</strong> Since tests are designed at the operation/<abbr title="Critical Operational Issue">COI</abbr> level,
this section will generally refer back to that level with the statement
“Uses the overarching operation/<abbr title="Critical Operational Issue">COI</abbr> test design.” However, if unique
factors and levels for this measure are identified in the test
conditions section above, then a separate test design for the measure is
required and should be summarized here.</p><p class="paragraph"><strong>Data and Analysis:</strong> Identify the minimum data required to compute the
metrics. Describe how the data will be collected, the sources of the
data, and instrumentation required to collect the data. Provide an
overview of the expected analysis methods, equations, algorithms, and
tools necessary for analysis.</p><h1 class="heading1" id="formattingmeasures">Formatting Measures</h1><p class="paragraph">The following are formatting conventions for the measures worksheet.</p><p class="paragraph"><strong>Measure Statement</strong>. Write measures statements in title case, i.e.,
use capital letters for all principal words. Articles, conjunctions and
prepositions do not get capital letters unless they start the measure
statement. All acronyms are spelled out in each measure, regardless if
they have been used before in the document; this enables the measures
worksheet, and the header when separated from the full worksheet, to be
comprehensible without other documentation. Table 7 shows a properly
formatted measure statement with acronyms.</p><p class="paragraph">Table 7. Acronym Usage</p><table><thead><tr><th>Operational Capability: Timeliness</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td><abbr title="Measure of Performance">MOP</abbr> 2.4: Electro-Optical (<abbr title="Electro-Optical OR Executive Order OR Engineering Order">EO</abbr>) National Imagery Interpretation Rating Scale (NIIRS) Rating</td><td>Minimum</td><td>≥ NIIRS 6 @ 450 km</td></tr></tbody></table><p class="paragraph"><strong>Key Performance Parameter (<abbr title="Key Performance Parameter">KPP</abbr>)</strong>: If the measure is derived from a
<abbr title="Key Performance Parameter">KPP</abbr> or supports a <abbr title="Key Performance Parameter">KPP</abbr>, the measure designator is preceded by an asterisk
(<!-- -->*<!-- -->). Additionally, a legend with the text “<!-- -->*<!-- --> <abbr title="Key Performance Parameter">KPP</abbr> or Supports <abbr title="Key Performance Parameter">KPP</abbr>” is
added as another row at the bottom of the measure table, as shown in
table 8.</p><p class="paragraph">Table 8. Identifying a <abbr title="Key Performance Parameter">KPP</abbr></p><table><thead><tr><th>Operational Capability: Reliability</th><th></th><th></th></tr></thead><tbody><tr><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr><td>*<abbr title="Measure of Suitability OR Military Occupational Specialty">MOS</abbr> 4.1: Time Between Failures</td><td>Mean</td><td>≥50 hours</td></tr><tr><td>*<abbr title="Key Performance Parameter">KPP</abbr> or Supports <abbr title="Key Performance Parameter">KPP</abbr></td><td></td><td></td></tr></tbody></table><p class="paragraph"><strong>Identified Standards:</strong> If a test team must develop a measure from a
requirement that fails to provide a clear metric or threshold of
performance, the test team can ask the user community for an appropriate
metric or threshold; this value is known as an identified standard.
There is a convention to highlighting and documenting identified
standards on a measures worksheet. <abbr title="Air Force Operational Test and Evaluation Center">AFOTEC</abbr> denotes an identified standard
by placing a carrot symbol (^) to the top left of the user-created
metric or threshold. The source of the identified standard must be
explained in the References section of the measures worksheet, which
should start with the phrase “Derived from…”</p><p class="paragraph"><strong>Example:</strong> The requirement states: <em>“The miss distance shall be less
than or equal to 15 meters.”</em></p><p class="paragraph">While the measure statement (miss distance) and threshold (less than or
equal to 15 meters) are provided, the requirement does not explicitly
state what the metric should be. The test team consults with the user
and determines the correct metric is circular error probable (<abbr title="Circular Error Probability">CEP</abbr>).
Since this was not explicitly stated in the requirements document, <abbr title="Circular Error Probability">CEP</abbr>
is an identified standard and must be annotated with a carrot symbol
(^<abbr title="Circular Error Probability">CEP</abbr>). Additionally a legend with the text “^ Identified Standard” is
added as another row at the bottom of the measures worksheet header.
Table 9 shows how the additional information is incorporated.</p><p class="paragraph">Table 9. Indicating an Identified Standard</p><table><thead><tr class="header"><th>Operational Capability: Accuracy</th><th></th><th></th></tr></thead><tbody><tr class="odd"><td>Measure</td><td>Metric</td><td>Threshold</td></tr><tr class="even"><td>*MOP 2.1: Miss Distance</td><td>^ CEP</td><td>≤ 15 meters</td></tr><tr class="odd"><td>* KPP or Supports KPP<br/>^ Identified Standard</td><td></td><td></td></tr></tbody></table><p class="paragraph"><strong>References:</strong> Derived from weapon system subject matter expert (<abbr title="Subject Matter Expert">SME</abbr>)
judgement based on operational experience on legacy systems and
“Technical Requirements Document (<abbr title="Technical Requirements Document">TRD</abbr>): Air Force (<abbr title="(US) Air Force">AF</abbr>) Munition X 16 Dec
15, table 14, items 3.1.8 and 5.0.13-5.0.15</p><p class="paragraph"><strong>Threshold:</strong> If the measure is quantitative or ordinal, the threshold
must be preceded by an equality or inequality mathematical symbol (=, ≤
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