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@@ -4702,7 +4702,7 @@ <h2 class="anchored" data-anchor-id="aims">Aims</h2>
 <p>This guidance provides a set of questions to help analytical and statistical teams evaluate the quality of their analysis throughout the production cycle. The guidance is here to support teams in meeting the Office for National Statistics’s (ONS) strategic objectives for improving statistical quality. You can find more information about our strategic objectives on statistical quality in the <a href="https://www.ons.gov.uk/methodology/methodologytopicsandstatisticalconcepts/qualityinofficialstatistics/onsstatisticalqualityimprovementstrategy">ONS Statistical Quality Improvement Strategy</a>. ONS manages quality through a <a href="https://officenationalstatistics.sharepoint.com/sites/onswiki/SitePages/ONS_quality_management.aspx?csf=1&amp;web=1&amp;e=xyAJcG&amp;cid=3da18120-8bb7-4e1f-ad34-e2793e555231">strategic risk approach</a>.</p>
 <p>The aim of this guidance is:</p>
 <ol type="1">
-<li>To help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the points raised in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables teams to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.</li>
+<li>To help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the questions asked in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables you to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.</li>
 <li>To ensure there is a consistent end-to-end QA approach across divisions and teams in ONS.<br>
 </li>
 <li>To make it easier to comply with good practice guidance and standards including the <a href="https://officenationalstatistics.sharepoint.com/sites/onswiki/SitePages/Quality-Principles.aspx?csf=1&amp;web=1&amp;e=FB4Q14&amp;cid=3cc849ba-f68b-4fc2-af5c-935b82703414">ONS Quality Practices</a>, <a href="https://officenationalstatistics.sharepoint.com/sites/onswiki/SitePages/Quality_Standards.aspx">ONS Quality Standard for Analysis</a>, the government <a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/416478/aqua_book_final_web.pdf">AQUA Book</a> and the <a href="https://code.statisticsauthority.gov.uk/">Code of Practice for Statistics</a>, the <a href="https://analysisfunction.civilservice.gov.uk/">Analysis Function</a> <a href="https://www.gov.uk/government/publications/government-analysis-functional-standard--2">Functional Standard for Analysis</a> and the <a href="https://www.gov.uk/service-manual/user-research/start-by-learning-user-needs">Government Service Manual</a> which explains how to research, document and validate user needs.<br>

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-    "text": "This guidance provides a set of questions to help analytical and statistical teams evaluate the quality of their analysis throughout the production cycle. The guidance is here to support teams in meeting the Office for National Statistics’s (ONS) strategic objectives for improving statistical quality. You can find more information about our strategic objectives on statistical quality in the ONS Statistical Quality Improvement Strategy. ONS manages quality through a strategic risk approach.\nThe aim of this guidance is:\n\nTo help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the points raised in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables teams to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.\nTo ensure there is a consistent end-to-end QA approach across divisions and teams in ONS.\n\nTo make it easier to comply with good practice guidance and standards including the ONS Quality Practices, ONS Quality Standard for Analysis, the government AQUA Book and the Code of Practice for Statistics, the Analysis Function Functional Standard for Analysis and the Government Service Manual which explains how to research, document and validate user needs.\n\nTo ensure there is a consistent understanding of roles and responsibilities when producing high quality analysis and statistics.\n\nTo make it easier to create critical project documentation including an assumptions and decisions log, issue and decisions log, risk register and divisional Quality Improvement Plan.\n\nThe AQuA book sets out a standard framework for managing analytical quality in government. The AQuA framework is there to make sure that our work can be trusted to inform good decision making, while the Code of Practice for Statistics sets out the principles and practices that producers of official statistics should commit to. Two other pieces of guidance have motivated us to produce this template. One is the Analysis Function guidance on Quality Questions and Red Flags. The other is the Office for Statistics Regulation (OSR) guidance on Thinking about quality when producing statistics. Both of these provide sets of questions that analysts can use to interrogate their work and assure its quality.\nBuilding on these cross-government resources, this guidance sets out quality questions that are relevant for each stage of analytical cycle. The quality questions are at their most effective if they are asked at the right stage. Once that stage is passed, experience suggests that it is normally difficult to go back and address the points the questions ask through retrofitting at a later stage of the analysis.\nEach question is linked with the Code of Practice for Statistics pillars of Trustworthiness, Quality and Value. We explain the importance and relevance of each question in light of the three pillars so teams can better understand and apply these principles through out the project life cycle.\nQuality questions are also categorised by which responsible role from the AQuA book would usually answer them. The idea is to highlight the clear line of accountability set out in the Aqua book in an easy-to-understand manner. We want to make it easier for teams to decide how the three key Aqua roles of commissioner, senior responsible owner (and their analysis team) and analytical assurer are covered in their own workflows."
+    "text": "This guidance provides a set of questions to help analytical and statistical teams evaluate the quality of their analysis throughout the production cycle. The guidance is here to support teams in meeting the Office for National Statistics’s (ONS) strategic objectives for improving statistical quality. You can find more information about our strategic objectives on statistical quality in the ONS Statistical Quality Improvement Strategy. ONS manages quality through a strategic risk approach.\nThe aim of this guidance is:\n\nTo help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the questions asked in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables you to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.\nTo ensure there is a consistent end-to-end QA approach across divisions and teams in ONS.\n\nTo make it easier to comply with good practice guidance and standards including the ONS Quality Practices, ONS Quality Standard for Analysis, the government AQUA Book and the Code of Practice for Statistics, the Analysis Function Functional Standard for Analysis and the Government Service Manual which explains how to research, document and validate user needs.\n\nTo ensure there is a consistent understanding of roles and responsibilities when producing high quality analysis and statistics.\n\nTo make it easier to create critical project documentation including an assumptions and decisions log, issue and decisions log, risk register and divisional Quality Improvement Plan.\n\nThe AQuA book sets out a standard framework for managing analytical quality in government. The AQuA framework is there to make sure that our work can be trusted to inform good decision making, while the Code of Practice for Statistics sets out the principles and practices that producers of official statistics should commit to. Two other pieces of guidance have motivated us to produce this template. One is the Analysis Function guidance on Quality Questions and Red Flags. The other is the Office for Statistics Regulation (OSR) guidance on Thinking about quality when producing statistics. Both of these provide sets of questions that analysts can use to interrogate their work and assure its quality.\nBuilding on these cross-government resources, this guidance sets out quality questions that are relevant for each stage of analytical cycle. The quality questions are at their most effective if they are asked at the right stage. Once that stage is passed, experience suggests that it is normally difficult to go back and address the points the questions ask through retrofitting at a later stage of the analysis.\nEach question is linked with the Code of Practice for Statistics pillars of Trustworthiness, Quality and Value. We explain the importance and relevance of each question in light of the three pillars so teams can better understand and apply these principles through out the project life cycle.\nQuality questions are also categorised by which responsible role from the AQuA book would usually answer them. The idea is to highlight the clear line of accountability set out in the Aqua book in an easy-to-understand manner. We want to make it easier for teams to decide how the three key Aqua roles of commissioner, senior responsible owner (and their analysis team) and analytical assurer are covered in their own workflows."
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-    "text": "This guidance provides a set of questions to help analytical and statistical teams evaluate the quality of their analysis throughout the production cycle. The guidance is here to support teams in meeting the Office for National Statistics’s (ONS) strategic objectives for improving statistical quality. You can find more information about our strategic objectives on statistical quality in the ONS Statistical Quality Improvement Strategy. ONS manages quality through a strategic risk approach.\nThe aim of this guidance is:\n\nTo help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the points raised in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables teams to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.\nTo ensure there is a consistent end-to-end QA approach across divisions and teams in ONS.\n\nTo make it easier to comply with good practice guidance and standards including the ONS Quality Practices, ONS Quality Standard for Analysis, the government AQUA Book and the Code of Practice for Statistics, the Analysis Function Functional Standard for Analysis and the Government Service Manual which explains how to research, document and validate user needs.\n\nTo ensure there is a consistent understanding of roles and responsibilities when producing high quality analysis and statistics.\n\nTo make it easier to create critical project documentation including an assumptions and decisions log, issue and decisions log, risk register and divisional Quality Improvement Plan.\n\nThe AQuA book sets out a standard framework for managing analytical quality in government. The AQuA framework is there to make sure that our work can be trusted to inform good decision making, while the Code of Practice for Statistics sets out the principles and practices that producers of official statistics should commit to. Two other pieces of guidance have motivated us to produce this template. One is the Analysis Function guidance on Quality Questions and Red Flags. The other is the Office for Statistics Regulation (OSR) guidance on Thinking about quality when producing statistics. Both of these provide sets of questions that analysts can use to interrogate their work and assure its quality.\nBuilding on these cross-government resources, this guidance sets out quality questions that are relevant for each stage of analytical cycle. The quality questions are at their most effective if they are asked at the right stage. Once that stage is passed, experience suggests that it is normally difficult to go back and address the points the questions ask through retrofitting at a later stage of the analysis.\nEach question is linked with the Code of Practice for Statistics pillars of Trustworthiness, Quality and Value. We explain the importance and relevance of each question in light of the three pillars so teams can better understand and apply these principles through out the project life cycle.\nQuality questions are also categorised by which responsible role from the AQuA book would usually answer them. The idea is to highlight the clear line of accountability set out in the Aqua book in an easy-to-understand manner. We want to make it easier for teams to decide how the three key Aqua roles of commissioner, senior responsible owner (and their analysis team) and analytical assurer are covered in their own workflows."
+    "text": "This guidance provides a set of questions to help analytical and statistical teams evaluate the quality of their analysis throughout the production cycle. The guidance is here to support teams in meeting the Office for National Statistics’s (ONS) strategic objectives for improving statistical quality. You can find more information about our strategic objectives on statistical quality in the ONS Statistical Quality Improvement Strategy. ONS manages quality through a strategic risk approach.\nThe aim of this guidance is:\n\nTo help teams understand the level of risk they are carrying in their analytical workflows. Reflecting on the questions asked in this template, documenting what mitigation is planned or in place or noting that your project is accepting the risk and why enables you to identify potential quality issues and decide how to prioritise them. Having this information in once place also provides a sound basis for regular reviews of the risks associated with the workflow, in line with recommended good practice.\nTo ensure there is a consistent end-to-end QA approach across divisions and teams in ONS.\n\nTo make it easier to comply with good practice guidance and standards including the ONS Quality Practices, ONS Quality Standard for Analysis, the government AQUA Book and the Code of Practice for Statistics, the Analysis Function Functional Standard for Analysis and the Government Service Manual which explains how to research, document and validate user needs.\n\nTo ensure there is a consistent understanding of roles and responsibilities when producing high quality analysis and statistics.\n\nTo make it easier to create critical project documentation including an assumptions and decisions log, issue and decisions log, risk register and divisional Quality Improvement Plan.\n\nThe AQuA book sets out a standard framework for managing analytical quality in government. The AQuA framework is there to make sure that our work can be trusted to inform good decision making, while the Code of Practice for Statistics sets out the principles and practices that producers of official statistics should commit to. Two other pieces of guidance have motivated us to produce this template. One is the Analysis Function guidance on Quality Questions and Red Flags. The other is the Office for Statistics Regulation (OSR) guidance on Thinking about quality when producing statistics. Both of these provide sets of questions that analysts can use to interrogate their work and assure its quality.\nBuilding on these cross-government resources, this guidance sets out quality questions that are relevant for each stage of analytical cycle. The quality questions are at their most effective if they are asked at the right stage. Once that stage is passed, experience suggests that it is normally difficult to go back and address the points the questions ask through retrofitting at a later stage of the analysis.\nEach question is linked with the Code of Practice for Statistics pillars of Trustworthiness, Quality and Value. We explain the importance and relevance of each question in light of the three pillars so teams can better understand and apply these principles through out the project life cycle.\nQuality questions are also categorised by which responsible role from the AQuA book would usually answer them. The idea is to highlight the clear line of accountability set out in the Aqua book in an easy-to-understand manner. We want to make it easier for teams to decide how the three key Aqua roles of commissioner, senior responsible owner (and their analysis team) and analytical assurer are covered in their own workflows."
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