Updated on
March 17, 2026
|
March 17, 2026
Reduce teacher workload with evidence-based strategies from the DfE Workload Reduction Toolkit, Workload Advisory Group, and Teacher Tapp survey data.
Teacher workload management refers to the deliberate, evidence-informed process by which teachers and school leaders identify, reduce, and restructure time-consuming tasks so that professional effort is directed towards activities with the highest impact on pupil learning. In the UK context, this means applying guidance from the Department for Education (DfE), the Workload Advisory Group (WAG), and independent review groups to the daily realities of classroom teaching, planning, marking, and data collection.
You are likely spending more hours on administration than you are on teaching. That is not a personal failing. It is a structural problem identified and documented by the government's own research. The starting point for change is understanding which tasks are consuming your time, which of those have genuine impact on learning, and which can be reduced or removed entirely.
The data on teacher workload in England is consistent, longitudinal, and troubling. Teachers here work longer hours than their counterparts in most OECD countries, with less of that time spent on direct classroom instruction.
According to the DfE's own Teacher Workload Survey (2019), teachers in England work an average of 49.5 hours per week during term time. Primary teachers average 52.1 hours. Secondary teachers average 48.8 hours. Of that total, only 39% is spent teaching. The rest goes to planning, marking, data entry, meetings, and administrative tasks.
Teacher Tapp (2023) surveys reinforce this picture in real time. Their annual workload data consistently show that teachers spend between two and three hours per weekday on tasks outside lesson delivery, even when they are not working evenings or weekends. Weekend working is reported by more than 60% of respondents at least twice per month.
The recruitment and retention consequences are significant. NFER's Teacher Labour Market Survey (2023) found that 44% of teachers in England cited workload as the main reason they were considering leaving the profession. That figure has remained above 40% for the past five years. Meanwhile, the OECD's Education at a Glance (2023) confirms that teaching hours in England are below the international average, but total working hours are above it. The gap between time in front of pupils and total professional hours is larger in England than in most comparable countries.
What this means practically: the problem is not the amount of teaching. It is the tasks that surround teaching.
In 2016, the DfE commissioned three Independent Teacher Workload Review Groups to examine the major sources of excessive workload. Each group focused on one of the three areas most consistently identified by teachers as time-consuming: marking, lesson planning and resource creation, and data management.
Their findings became the foundation for all subsequent government workload policy, including the 2018 DfE Workload Reduction Toolkit and the Workload Advisory Group report.
The marking review group (DfE, 2016) found that detailed written marking of every piece of work, commonly known as triple-impact or DIRT marking, had no consistent evidence base supporting its impact on pupil progress. Yet it was being required by many schools as a matter of policy, consuming hours each week per teacher.
The review recommended that marking should be meaningful, manageable, and motivating. It should be proportionate to the learning task. It should not require written comments on every piece of work. And it should not be driven by the need to provide evidence for inspection rather than feedback for pupils.
The EEF's Marked Improvement review (Elliott et al., 2016) reached similar conclusions. While there is evidence that feedback improves learning, the medium through which that feedback is delivered matters far less than its quality and timeliness. Written comments on exercise books are not inherently better than verbal feedback, whole-class feedback, or peer assessment.
Practical change starts with your marking policy. If your school requires written feedback on every piece of work in every lesson, that policy is not supported by evidence and it is contributing to unsustainable workload.
The planning review group (DfE, 2016) found that individual teachers creating bespoke resources from scratch for every lesson was a significant driver of workload, particularly in secondary schools where teachers cover multiple year groups and classes.
The group's key recommendation was for collaborative planning within departments and year groups, shared resource libraries, and the adoption of high-quality published resources where these meet curriculum needs. The report was explicit that planning from scratch for every lesson is not a mark of professional quality. It is an inefficient use of professional time.
Since 2020, Oak National Academy has provided a free, teacher-designed curriculum with lesson plans, worksheets, and assessments for most subjects and year groups. Using these resources, adapting them, or building on them is not cheating. It is sensible professional practice that frees time for the high-value tasks no resource bank can replace: knowing your pupils, responding to their needs, and adjusting your approach in real time.
Your approach to lesson planning strategies has a direct bearing on your workload. Teachers who plan collaboratively within departments typically spend 30–40% less time planning than those who work in isolation.
The data management review group (DfE, 2016) found that many schools were collecting pupil progress data far more frequently than could be acted upon, in formats that took substantial time to enter and maintain, primarily to satisfy external accountability requirements rather than to inform teaching.
The group's core recommendation was that data should be collected only when it is going to be used to inform teaching decisions. Every data drop, every tracking spreadsheet, every progress report that requires teacher time should pass the test: will this data change what I do in the classroom? If the honest answer is no, the data collection is performative and should be removed.
The DfE Workload Reduction Toolkit, first published in 2018 and updated in 2023, is a practical resource designed for headteachers and governors rather than classroom teachers. Most teachers have heard of it but very few have read it. Understanding what it contains makes it a useful tool for professional conversations about workload.
The Toolkit is structured around eight areas where school leaders can reduce unnecessary workload: marking, planning, data and reporting, meetings, communication, the school environment, performance management, and wider workload culture.
For each area, the Toolkit provides a self-review tool allowing schools to audit their current practices, a set of questions senior leaders should ask before introducing new requirements, and examples of what schools with sustainable workload cultures do differently.
The most useful section for teachers is the "stop doing" audit. This prompts school leaders to review existing requirements and ask whether each one is genuinely necessary or whether it persists through habit and assumption. Many schools that have used the Toolkit have removed requirements for written comments in every book, reduced data collection from six times a year to three, and replaced some whole-staff meetings with written briefings.
If your school has not used the Workload Reduction Toolkit, you can raise it as a CPD topic or bring it to a staff meeting as a starting point for a professional conversation.
The Workload Advisory Group (WAG) was convened by the DfE in 2018 to produce recommendations specifically around data management. Its report, "Making Data Work" (Workload Advisory Group, 2018), is the most detailed government document on reducing data-driven workload in schools.
The WAG's central recommendation was that schools should hold a maximum of two or three data collection points per year for each class. This was a direct challenge to schools running termly or half-termly data drops, which the group found were creating substantial marking and entry workload without a corresponding improvement in teaching quality or pupil outcomes.
The group recommended that schools review every data collection activity and ask three questions. Does this data change what teachers do? Does it improve pupil outcomes? Does the time cost justify the benefit?
Two further recommendations stand out for classroom teachers. First, the WAG recommended that schools stop requiring teachers to make predictions about future pupil performance. Predicting grades is highly inaccurate, uses teachers' time, and has no evidence base for improving outcomes. Second, the WAG recommended that schools eliminate the requirement for teachers to maintain detailed written records of every intervention they provide. Brief, professional records are sufficient.
The WAG report is worth reading in full. It provides language and evidence you can use in professional conversations with your senior leadership team about reducing data workload.
The most significant time saving available to most teachers is in marking. This is also the area with the strongest evidence base for alternatives that maintain or improve feedback quality.
Whole-class feedback, sometimes called class correction, involves teachers scanning a set of books or tasks quickly, identifying the three or four most common errors or misconceptions, and addressing these at the start of the next lesson with the whole class. Fletcher-Wood (2018) describes this as one of the most efficient feedback mechanisms available to teachers, allowing them to respond to real pupil misconceptions in minutes rather than hours. The marking strategies that work best are those that reach pupils when they can still act on the feedback.
The process looks like this. You take in a set of books. Instead of writing individual comments in each one, you note which misconceptions appear most frequently. At the start of the next lesson, you put four or five questions on the board that address those misconceptions directly. Pupils work through them. You circulate and address remaining gaps in conversation. The whole process takes 10–15 minutes of lesson time and 15–20 minutes of teacher preparation time, compared to several hours of written marking.
Verbal feedback is another approach with strong evidence. Wiliam (2011) argues that the most effective feedback is specific, immediate, and corrective. Verbal feedback during a lesson, targeted at the moment a pupil makes an error, meets all three criteria. It also takes no additional preparation time outside the lesson.
Self-assessment and peer assessment, when properly taught and structured, are approaches where pupils assess their own work or each other's against clear success criteria. The EEF's feedback guidance notes that peer assessment can be effective when pupils are taught how to give feedback well. Done poorly, it adds teacher preparation time with no benefit. Done well, it reduces teacher feedback burden while also developing metacognitive skills.
The key shift in marking philosophy is from marking as monitoring to marking as teaching. Your formative assessment approaches should drive what you do next in lessons, not generate a paper trail.
Consider the AI marking and feedback tools now available to teachers. Some platforms can identify common errors in written responses, flag misconceptions, and generate summary feedback prompts in seconds. The evidence base for AI-assisted marking is still developing, but early adoption studies suggest significant time savings for certain types of written task.
Planning is the second major workload driver, and it is where most teachers have the greatest opportunity to work more efficiently without any reduction in lesson quality.
The first shift is from individual planning to collaborative planning. When teachers in the same subject or year group plan together, the time cost is shared, the quality is often higher because multiple perspectives improve the plan, and the result is a shared resource that benefits all members of the team. Pedagogy for teaching is most effective when it is discussed and refined in dialogue with colleagues rather than developed in isolation.
The second shift is from creating to curating and adapting. Oak National Academy now offers teacher-designed lesson plans, slide decks, and assessments across most subjects and year groups in England. Using these as a starting point, adapting them to your specific class and context, takes a fraction of the time required to create equivalent resources from scratch. The quality of Oak materials is high because they were created by curriculum specialists with time to develop them carefully.
The five-minute lesson plan approach is useful for experienced teachers who do not need to script every lesson in detail. It involves noting the intended learning outcome, the retrieval starter, the main learning task, and the exit check. For routine lessons with a familiar class, this level of planning is sufficient and professional.
Rosenshine's Principles provide a useful planning scaffold that reduces cognitive effort. When you internalise the structure of an effective lesson, the planning question shifts from "what shall I do?" to "how do I apply this structure to this content?" That shift is significant for reducing planning time.
Consider the role of curriculum coherence in reducing planning burden. Schools with well-sequenced, well-resourced curricula require teachers to do less planning because the large-scale curriculum decisions have already been made. If you are in a department with a strong shared curriculum, advocate for maintaining and developing it. If you are not, raising this issue with your head of department is worthwhile.
Your approach to direct instruction also bears on planning time. Scripted or semi-scripted direct instruction sequences, used appropriately, can reduce planning time significantly for new content that all pupils need to encounter in the same way.
Reducing data workload requires changes at school policy level, but there are steps you can take in your own practice as well.
Start by auditing every data-related task you complete in a week. For each one, ask: who will see this data, when, and what decision will they make based on it? If you cannot answer that question clearly, the data is probably performative rather than purposeful.
The WAG's guidance is clear on this point. Formative data, used by you in the classroom to adjust your teaching, has high value and low burden if it is kept simple. A mental note, a brief annotation on a seating plan, or a tick list of who has and has not understood a concept are all legitimate and low-cost forms of formative assessment. These take seconds rather than hours.
Summative data, collected at the end of a unit or term to report to parents or leadership, has moderate value when used appropriately. The key question is frequency. If your school collects summative data four, five, or six times per year, ask whether the additional data points beyond three are changing any decisions.
Performative data, collected to demonstrate accountability to external audiences, has low learning value and high teacher cost. This includes detailed written records of every intervention, predicted grade entries beyond two or three per year, and tracking spreadsheets that duplicate information held in the school's MIS.
If you are a middle leader or head of department, you have direct control over what data your team collects and how often. Applying the WAG's three questions to your own data requirements is a straightforward starting point. If you are a classroom teacher, the WAG report gives you evidence-based language to use when raising concerns about data workload with your line manager.
The period from 2023 to 2025 has seen the fastest development of practical AI tools for teachers since the introduction of word processing. Teacher Tapp's 2024 workload survey found that 34% of teachers in England were using AI tools for at least one professional task each week, with lesson planning and report writing as the most common use cases.
The evidence base for AI-assisted workload reduction is still being established, but the early findings are encouraging. Teachers using AI for report writing report saving between one and three hours per pupil reporting cycle. Teachers using AI for differentiation support report spending less time creating separate resource versions for different ability groups. AI tools for teachers have moved beyond novelty into genuine professional utility for those who have taken time to learn how to use them well.
The most practical use cases at present are as follows. For report writing, AI tools can take brief bullet-point notes about a pupil and generate a full draft report comment, which the teacher then edits for accuracy and tone. This is substantially faster than writing from scratch. For lesson planning, AI can generate a lesson structure, a set of practice questions, or a differentiated task from a brief prompt. The teacher then reviews and refines. For parent communication, standard letters, permission slips, and information updates can be drafted in seconds.
AI in lesson planning is becoming a mainstream professional tool rather than an experimental one. Schools that have introduced structured CPD on AI use for planning are reporting consistent time savings across departments.
What AI does not do well is make professional judgements about individual pupils. It cannot observe, respond to body language, build relationships, or draw on the contextual knowledge you have about a class. The highest-value parts of your professional role remain beyond AI. The time saving comes from delegating the lower-value production tasks.
Sustainable workload reduction requires leadership action. Teachers cannot individually reduce workload that is created by school-level policies on marking frequency, data collection requirements, meeting schedules, and reporting cycles.
If you are a headteacher, deputy, or head of department, the most high-impact actions you can take are direct and specific. Review your marking policy. If it requires written comments on every piece of work, remove that requirement. Replace it with a policy based on the DfE's three principles: meaningful, manageable, and motivating. The evidence does not support detailed written marking in every book, and removing the requirement will be welcomed by your staff.
Review your data collection calendar. If you have more than three data drops per year per class, you are almost certainly collecting data that does not inform teaching. Reduce to two or three and communicate clearly why. The WAG report (2018) provides the rationale.
Audit your meeting schedule. The DfE Workload Reduction Toolkit identifies meetings as a significant workload driver when they are poorly structured, over-frequent, or where information could be shared in writing. Replace one whole-staff meeting per half term with a written briefing. This is not a reduction in professional communication. It is a more efficient use of professional time.
Consider your email and communication expectations. Schools where senior leaders send emails outside working hours create an implicit expectation that teachers should be responsive at all times. This is corrosive to workload and wellbeing. A clear communication policy that specifies when responses are expected is a practical step.
Quality first teaching is more achievable when teachers are not exhausted by administrative demands. Protecting time for high-quality teaching by removing low-value tasks is not a concession. It is the job of school leadership.
The School Teachers' Pay and Conditions Document (STPCD) is the statutory framework governing teachers' pay and conditions in maintained schools in England. It specifies that teachers' directed time must not exceed 1,265 hours per year across 195 days.
This is the legal maximum. It is not a target. Many schools do not communicate clearly how directed time is allocated, which leaves teachers unaware of whether requests for additional tasks, meetings, or activities fall within or outside their contractual entitlement.
The directed time budget is a professional tool. It is not a weapon or a reason for conflict. Used constructively, it gives teachers and school leaders a shared framework for making decisions about how professional time is allocated. A school that allocates 35 hours per year to whole-staff meetings, 25 hours to parents' evenings, 20 hours to induction activities, and 50 hours to CPD is making transparent decisions about time that teachers can understand and plan around.
If you have concerns about directed time, your first step is to request a copy of your school's directed time statement. Every maintained school is required to have one. If your school does not have a clear directed time statement, your union representative can advise on the appropriate steps.
NASUWT and NEU both publish guidance on directed time and provide template directed time calculators that teachers can use to assess whether their current commitments are within the statutory limit.
Workload is the primary driver of teacher stress and dissatisfaction, but it is not the only one. The Education Support Teacher Wellbeing Index (2023) found that 78% of teachers describe their work as stressful, and 40% have considered leaving the profession in the past year.
The relationship between workload and wellbeing is well established. High workload increases stress, reduces sleep quality, reduces time for recovery and personal life, and over time contributes to burnout. The cognitive load that teachers carry both within and outside the classroom is significant, and schools that fail to manage it well see higher rates of sickness absence and staff turnover.
Practical wellbeing support that goes beyond workload reduction includes access to an Employee Assistance Programme (EAP), which most maintained schools and academy trusts now offer. Mental health first aiders in schools are now common, and their presence provides an accessible point of contact for staff experiencing stress or difficulty.
Flexible working, including part-time contracts, job share arrangements, and compressed hours, is an area where many schools have significant room to improve. The DfE's flexible working guidance (2023) asks all schools to consider flexible working requests positively and to publish their approach. Teachers who work part-time consistently report better wellbeing scores than full-time colleagues, even when they carry proportionate workload.
The connection between workload and recruitment is a leadership issue as well as a wellbeing issue. Schools with reputations for sustainable workload attract more applicants and retain staff longer. The cost of teacher turnover, including recruitment, induction, and the learning curve for new staff, is far higher than the cost of protecting existing staff from excessive workload.
Before you can address workload systematically, you need clarity about where your time actually goes. The following self-audit takes approximately 20 minutes and can be used as a CPD activity, a professional review tool, or a starting point for a conversation with your line manager.
For one week, keep a brief log of how you spend time outside your timetabled lessons. Group your activities into five categories: marking and feedback, planning and resource creation, data entry and reporting, meetings and CPD, and other administration. At the end of the week, total the hours in each category.
Then ask three questions about each category. What proportion of this time directly improves pupil learning? What could be reduced, combined, or removed without affecting pupil outcomes? What would require a policy change at school level to address?
Most teachers who complete this audit find that marking accounts for 30–40% of their out-of-class time, planning accounts for 25–35%, and data entry accounts for 10–20%. If your figures are significantly higher than these, you have identified a specific target for workload reduction. If your planning time is unusually high, collaborative planning or shared resources are the most likely lever. If your marking time is unusually high, whole-class feedback and reduced frequency of written feedback are the most likely lever.
The DfE Workload Reduction Toolkit includes a version of this audit designed for whole-school use. If you can introduce it at staff level, the collective picture is more powerful than individual data and creates a stronger basis for policy change.
These peer-reviewed studies provide the evidence base for the strategies discussed above.
Classification of Drivers' Workload Using Physiological Signals in Conditional Automation View study ↗
69 citations
Meteier et al. (2021)
This study examines physiological indicators of workload stress in automated systems. For teachers, it highlights the importance of recognising physical signs of stress overload and suggests that monitoring workload intensity through observable indicators could help educators manage their capacity more effectively.
Assessing Stress Levels Amongst Teachers: Factors, Impacts, Coping Strategies and Teacher Well Being View study ↗
Merwe et al. (2025)
This research identifies key stress factors affecting teachers and examines their coping strategies and wellbeing outcomes. It provides valuable insights into the sources of teacher stress and offers evidence-based approaches for managing workload pressures and maintaining professional effectiveness in challenging educational environments.
Navigating Stress in Private Higher Education Colleges: Faculty Workload, Coping Strategies and Work Life Balance View study ↗
Malhotra (2025)
This study explores how private college faculty manage heavy workloads and achieve work-life balance. It offers practical coping strategies that teachers can apply to handle administrative pressures and multiple responsibilities whilst maintaining their mental and physical health.
Navigating triple demands: work-life balance challenges and coping strategies among Chinese university teachers pursuing further education View study ↗
Wu et al. (2026)
This research examines how Chinese university teachers balance professional duties, personal life, and continuing education. It provides insights into managing competing demands that many teachers face when pursuing professional development whilst maintaining teaching responsibilities and personal wellbeing.
Understanding Teacher Workload in Blended Learning: Insights Through the Job Demands-Resources Model View study ↗
Cheng et al. (2026)
This study analyses teacher workload in blended learning environments using the Job Demands-Resources Model. It offers practical insights for teachers implementing digital and hybrid teaching methods, helping them understand and manage the additional workload pressures created by technology integration.
A collection of practical resources to help educators effectively manage their workload, prioritise tasks, and promote well-being.
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Teacher workload management refers to the deliberate, evidence-informed process by which teachers and school leaders identify, reduce, and restructure time-consuming tasks so that professional effort is directed towards activities with the highest impact on pupil learning. In the UK context, this means applying guidance from the Department for Education (DfE), the Workload Advisory Group (WAG), and independent review groups to the daily realities of classroom teaching, planning, marking, and data collection.
You are likely spending more hours on administration than you are on teaching. That is not a personal failing. It is a structural problem identified and documented by the government's own research. The starting point for change is understanding which tasks are consuming your time, which of those have genuine impact on learning, and which can be reduced or removed entirely.
The data on teacher workload in England is consistent, longitudinal, and troubling. Teachers here work longer hours than their counterparts in most OECD countries, with less of that time spent on direct classroom instruction.
According to the DfE's own Teacher Workload Survey (2019), teachers in England work an average of 49.5 hours per week during term time. Primary teachers average 52.1 hours. Secondary teachers average 48.8 hours. Of that total, only 39% is spent teaching. The rest goes to planning, marking, data entry, meetings, and administrative tasks.
Teacher Tapp (2023) surveys reinforce this picture in real time. Their annual workload data consistently show that teachers spend between two and three hours per weekday on tasks outside lesson delivery, even when they are not working evenings or weekends. Weekend working is reported by more than 60% of respondents at least twice per month.
The recruitment and retention consequences are significant. NFER's Teacher Labour Market Survey (2023) found that 44% of teachers in England cited workload as the main reason they were considering leaving the profession. That figure has remained above 40% for the past five years. Meanwhile, the OECD's Education at a Glance (2023) confirms that teaching hours in England are below the international average, but total working hours are above it. The gap between time in front of pupils and total professional hours is larger in England than in most comparable countries.
What this means practically: the problem is not the amount of teaching. It is the tasks that surround teaching.
In 2016, the DfE commissioned three Independent Teacher Workload Review Groups to examine the major sources of excessive workload. Each group focused on one of the three areas most consistently identified by teachers as time-consuming: marking, lesson planning and resource creation, and data management.
Their findings became the foundation for all subsequent government workload policy, including the 2018 DfE Workload Reduction Toolkit and the Workload Advisory Group report.
The marking review group (DfE, 2016) found that detailed written marking of every piece of work, commonly known as triple-impact or DIRT marking, had no consistent evidence base supporting its impact on pupil progress. Yet it was being required by many schools as a matter of policy, consuming hours each week per teacher.
The review recommended that marking should be meaningful, manageable, and motivating. It should be proportionate to the learning task. It should not require written comments on every piece of work. And it should not be driven by the need to provide evidence for inspection rather than feedback for pupils.
The EEF's Marked Improvement review (Elliott et al., 2016) reached similar conclusions. While there is evidence that feedback improves learning, the medium through which that feedback is delivered matters far less than its quality and timeliness. Written comments on exercise books are not inherently better than verbal feedback, whole-class feedback, or peer assessment.
Practical change starts with your marking policy. If your school requires written feedback on every piece of work in every lesson, that policy is not supported by evidence and it is contributing to unsustainable workload.
The planning review group (DfE, 2016) found that individual teachers creating bespoke resources from scratch for every lesson was a significant driver of workload, particularly in secondary schools where teachers cover multiple year groups and classes.
The group's key recommendation was for collaborative planning within departments and year groups, shared resource libraries, and the adoption of high-quality published resources where these meet curriculum needs. The report was explicit that planning from scratch for every lesson is not a mark of professional quality. It is an inefficient use of professional time.
Since 2020, Oak National Academy has provided a free, teacher-designed curriculum with lesson plans, worksheets, and assessments for most subjects and year groups. Using these resources, adapting them, or building on them is not cheating. It is sensible professional practice that frees time for the high-value tasks no resource bank can replace: knowing your pupils, responding to their needs, and adjusting your approach in real time.
Your approach to lesson planning strategies has a direct bearing on your workload. Teachers who plan collaboratively within departments typically spend 30–40% less time planning than those who work in isolation.
The data management review group (DfE, 2016) found that many schools were collecting pupil progress data far more frequently than could be acted upon, in formats that took substantial time to enter and maintain, primarily to satisfy external accountability requirements rather than to inform teaching.
The group's core recommendation was that data should be collected only when it is going to be used to inform teaching decisions. Every data drop, every tracking spreadsheet, every progress report that requires teacher time should pass the test: will this data change what I do in the classroom? If the honest answer is no, the data collection is performative and should be removed.
The DfE Workload Reduction Toolkit, first published in 2018 and updated in 2023, is a practical resource designed for headteachers and governors rather than classroom teachers. Most teachers have heard of it but very few have read it. Understanding what it contains makes it a useful tool for professional conversations about workload.
The Toolkit is structured around eight areas where school leaders can reduce unnecessary workload: marking, planning, data and reporting, meetings, communication, the school environment, performance management, and wider workload culture.
For each area, the Toolkit provides a self-review tool allowing schools to audit their current practices, a set of questions senior leaders should ask before introducing new requirements, and examples of what schools with sustainable workload cultures do differently.
The most useful section for teachers is the "stop doing" audit. This prompts school leaders to review existing requirements and ask whether each one is genuinely necessary or whether it persists through habit and assumption. Many schools that have used the Toolkit have removed requirements for written comments in every book, reduced data collection from six times a year to three, and replaced some whole-staff meetings with written briefings.
If your school has not used the Workload Reduction Toolkit, you can raise it as a CPD topic or bring it to a staff meeting as a starting point for a professional conversation.
The Workload Advisory Group (WAG) was convened by the DfE in 2018 to produce recommendations specifically around data management. Its report, "Making Data Work" (Workload Advisory Group, 2018), is the most detailed government document on reducing data-driven workload in schools.
The WAG's central recommendation was that schools should hold a maximum of two or three data collection points per year for each class. This was a direct challenge to schools running termly or half-termly data drops, which the group found were creating substantial marking and entry workload without a corresponding improvement in teaching quality or pupil outcomes.
The group recommended that schools review every data collection activity and ask three questions. Does this data change what teachers do? Does it improve pupil outcomes? Does the time cost justify the benefit?
Two further recommendations stand out for classroom teachers. First, the WAG recommended that schools stop requiring teachers to make predictions about future pupil performance. Predicting grades is highly inaccurate, uses teachers' time, and has no evidence base for improving outcomes. Second, the WAG recommended that schools eliminate the requirement for teachers to maintain detailed written records of every intervention they provide. Brief, professional records are sufficient.
The WAG report is worth reading in full. It provides language and evidence you can use in professional conversations with your senior leadership team about reducing data workload.
The most significant time saving available to most teachers is in marking. This is also the area with the strongest evidence base for alternatives that maintain or improve feedback quality.
Whole-class feedback, sometimes called class correction, involves teachers scanning a set of books or tasks quickly, identifying the three or four most common errors or misconceptions, and addressing these at the start of the next lesson with the whole class. Fletcher-Wood (2018) describes this as one of the most efficient feedback mechanisms available to teachers, allowing them to respond to real pupil misconceptions in minutes rather than hours. The marking strategies that work best are those that reach pupils when they can still act on the feedback.
The process looks like this. You take in a set of books. Instead of writing individual comments in each one, you note which misconceptions appear most frequently. At the start of the next lesson, you put four or five questions on the board that address those misconceptions directly. Pupils work through them. You circulate and address remaining gaps in conversation. The whole process takes 10–15 minutes of lesson time and 15–20 minutes of teacher preparation time, compared to several hours of written marking.
Verbal feedback is another approach with strong evidence. Wiliam (2011) argues that the most effective feedback is specific, immediate, and corrective. Verbal feedback during a lesson, targeted at the moment a pupil makes an error, meets all three criteria. It also takes no additional preparation time outside the lesson.
Self-assessment and peer assessment, when properly taught and structured, are approaches where pupils assess their own work or each other's against clear success criteria. The EEF's feedback guidance notes that peer assessment can be effective when pupils are taught how to give feedback well. Done poorly, it adds teacher preparation time with no benefit. Done well, it reduces teacher feedback burden while also developing metacognitive skills.
The key shift in marking philosophy is from marking as monitoring to marking as teaching. Your formative assessment approaches should drive what you do next in lessons, not generate a paper trail.
Consider the AI marking and feedback tools now available to teachers. Some platforms can identify common errors in written responses, flag misconceptions, and generate summary feedback prompts in seconds. The evidence base for AI-assisted marking is still developing, but early adoption studies suggest significant time savings for certain types of written task.
Planning is the second major workload driver, and it is where most teachers have the greatest opportunity to work more efficiently without any reduction in lesson quality.
The first shift is from individual planning to collaborative planning. When teachers in the same subject or year group plan together, the time cost is shared, the quality is often higher because multiple perspectives improve the plan, and the result is a shared resource that benefits all members of the team. Pedagogy for teaching is most effective when it is discussed and refined in dialogue with colleagues rather than developed in isolation.
The second shift is from creating to curating and adapting. Oak National Academy now offers teacher-designed lesson plans, slide decks, and assessments across most subjects and year groups in England. Using these as a starting point, adapting them to your specific class and context, takes a fraction of the time required to create equivalent resources from scratch. The quality of Oak materials is high because they were created by curriculum specialists with time to develop them carefully.
The five-minute lesson plan approach is useful for experienced teachers who do not need to script every lesson in detail. It involves noting the intended learning outcome, the retrieval starter, the main learning task, and the exit check. For routine lessons with a familiar class, this level of planning is sufficient and professional.
Rosenshine's Principles provide a useful planning scaffold that reduces cognitive effort. When you internalise the structure of an effective lesson, the planning question shifts from "what shall I do?" to "how do I apply this structure to this content?" That shift is significant for reducing planning time.
Consider the role of curriculum coherence in reducing planning burden. Schools with well-sequenced, well-resourced curricula require teachers to do less planning because the large-scale curriculum decisions have already been made. If you are in a department with a strong shared curriculum, advocate for maintaining and developing it. If you are not, raising this issue with your head of department is worthwhile.
Your approach to direct instruction also bears on planning time. Scripted or semi-scripted direct instruction sequences, used appropriately, can reduce planning time significantly for new content that all pupils need to encounter in the same way.
Reducing data workload requires changes at school policy level, but there are steps you can take in your own practice as well.
Start by auditing every data-related task you complete in a week. For each one, ask: who will see this data, when, and what decision will they make based on it? If you cannot answer that question clearly, the data is probably performative rather than purposeful.
The WAG's guidance is clear on this point. Formative data, used by you in the classroom to adjust your teaching, has high value and low burden if it is kept simple. A mental note, a brief annotation on a seating plan, or a tick list of who has and has not understood a concept are all legitimate and low-cost forms of formative assessment. These take seconds rather than hours.
Summative data, collected at the end of a unit or term to report to parents or leadership, has moderate value when used appropriately. The key question is frequency. If your school collects summative data four, five, or six times per year, ask whether the additional data points beyond three are changing any decisions.
Performative data, collected to demonstrate accountability to external audiences, has low learning value and high teacher cost. This includes detailed written records of every intervention, predicted grade entries beyond two or three per year, and tracking spreadsheets that duplicate information held in the school's MIS.
If you are a middle leader or head of department, you have direct control over what data your team collects and how often. Applying the WAG's three questions to your own data requirements is a straightforward starting point. If you are a classroom teacher, the WAG report gives you evidence-based language to use when raising concerns about data workload with your line manager.
The period from 2023 to 2025 has seen the fastest development of practical AI tools for teachers since the introduction of word processing. Teacher Tapp's 2024 workload survey found that 34% of teachers in England were using AI tools for at least one professional task each week, with lesson planning and report writing as the most common use cases.
The evidence base for AI-assisted workload reduction is still being established, but the early findings are encouraging. Teachers using AI for report writing report saving between one and three hours per pupil reporting cycle. Teachers using AI for differentiation support report spending less time creating separate resource versions for different ability groups. AI tools for teachers have moved beyond novelty into genuine professional utility for those who have taken time to learn how to use them well.
The most practical use cases at present are as follows. For report writing, AI tools can take brief bullet-point notes about a pupil and generate a full draft report comment, which the teacher then edits for accuracy and tone. This is substantially faster than writing from scratch. For lesson planning, AI can generate a lesson structure, a set of practice questions, or a differentiated task from a brief prompt. The teacher then reviews and refines. For parent communication, standard letters, permission slips, and information updates can be drafted in seconds.
AI in lesson planning is becoming a mainstream professional tool rather than an experimental one. Schools that have introduced structured CPD on AI use for planning are reporting consistent time savings across departments.
What AI does not do well is make professional judgements about individual pupils. It cannot observe, respond to body language, build relationships, or draw on the contextual knowledge you have about a class. The highest-value parts of your professional role remain beyond AI. The time saving comes from delegating the lower-value production tasks.
Sustainable workload reduction requires leadership action. Teachers cannot individually reduce workload that is created by school-level policies on marking frequency, data collection requirements, meeting schedules, and reporting cycles.
If you are a headteacher, deputy, or head of department, the most high-impact actions you can take are direct and specific. Review your marking policy. If it requires written comments on every piece of work, remove that requirement. Replace it with a policy based on the DfE's three principles: meaningful, manageable, and motivating. The evidence does not support detailed written marking in every book, and removing the requirement will be welcomed by your staff.
Review your data collection calendar. If you have more than three data drops per year per class, you are almost certainly collecting data that does not inform teaching. Reduce to two or three and communicate clearly why. The WAG report (2018) provides the rationale.
Audit your meeting schedule. The DfE Workload Reduction Toolkit identifies meetings as a significant workload driver when they are poorly structured, over-frequent, or where information could be shared in writing. Replace one whole-staff meeting per half term with a written briefing. This is not a reduction in professional communication. It is a more efficient use of professional time.
Consider your email and communication expectations. Schools where senior leaders send emails outside working hours create an implicit expectation that teachers should be responsive at all times. This is corrosive to workload and wellbeing. A clear communication policy that specifies when responses are expected is a practical step.
Quality first teaching is more achievable when teachers are not exhausted by administrative demands. Protecting time for high-quality teaching by removing low-value tasks is not a concession. It is the job of school leadership.
The School Teachers' Pay and Conditions Document (STPCD) is the statutory framework governing teachers' pay and conditions in maintained schools in England. It specifies that teachers' directed time must not exceed 1,265 hours per year across 195 days.
This is the legal maximum. It is not a target. Many schools do not communicate clearly how directed time is allocated, which leaves teachers unaware of whether requests for additional tasks, meetings, or activities fall within or outside their contractual entitlement.
The directed time budget is a professional tool. It is not a weapon or a reason for conflict. Used constructively, it gives teachers and school leaders a shared framework for making decisions about how professional time is allocated. A school that allocates 35 hours per year to whole-staff meetings, 25 hours to parents' evenings, 20 hours to induction activities, and 50 hours to CPD is making transparent decisions about time that teachers can understand and plan around.
If you have concerns about directed time, your first step is to request a copy of your school's directed time statement. Every maintained school is required to have one. If your school does not have a clear directed time statement, your union representative can advise on the appropriate steps.
NASUWT and NEU both publish guidance on directed time and provide template directed time calculators that teachers can use to assess whether their current commitments are within the statutory limit.
Workload is the primary driver of teacher stress and dissatisfaction, but it is not the only one. The Education Support Teacher Wellbeing Index (2023) found that 78% of teachers describe their work as stressful, and 40% have considered leaving the profession in the past year.
The relationship between workload and wellbeing is well established. High workload increases stress, reduces sleep quality, reduces time for recovery and personal life, and over time contributes to burnout. The cognitive load that teachers carry both within and outside the classroom is significant, and schools that fail to manage it well see higher rates of sickness absence and staff turnover.
Practical wellbeing support that goes beyond workload reduction includes access to an Employee Assistance Programme (EAP), which most maintained schools and academy trusts now offer. Mental health first aiders in schools are now common, and their presence provides an accessible point of contact for staff experiencing stress or difficulty.
Flexible working, including part-time contracts, job share arrangements, and compressed hours, is an area where many schools have significant room to improve. The DfE's flexible working guidance (2023) asks all schools to consider flexible working requests positively and to publish their approach. Teachers who work part-time consistently report better wellbeing scores than full-time colleagues, even when they carry proportionate workload.
The connection between workload and recruitment is a leadership issue as well as a wellbeing issue. Schools with reputations for sustainable workload attract more applicants and retain staff longer. The cost of teacher turnover, including recruitment, induction, and the learning curve for new staff, is far higher than the cost of protecting existing staff from excessive workload.
Before you can address workload systematically, you need clarity about where your time actually goes. The following self-audit takes approximately 20 minutes and can be used as a CPD activity, a professional review tool, or a starting point for a conversation with your line manager.
For one week, keep a brief log of how you spend time outside your timetabled lessons. Group your activities into five categories: marking and feedback, planning and resource creation, data entry and reporting, meetings and CPD, and other administration. At the end of the week, total the hours in each category.
Then ask three questions about each category. What proportion of this time directly improves pupil learning? What could be reduced, combined, or removed without affecting pupil outcomes? What would require a policy change at school level to address?
Most teachers who complete this audit find that marking accounts for 30–40% of their out-of-class time, planning accounts for 25–35%, and data entry accounts for 10–20%. If your figures are significantly higher than these, you have identified a specific target for workload reduction. If your planning time is unusually high, collaborative planning or shared resources are the most likely lever. If your marking time is unusually high, whole-class feedback and reduced frequency of written feedback are the most likely lever.
The DfE Workload Reduction Toolkit includes a version of this audit designed for whole-school use. If you can introduce it at staff level, the collective picture is more powerful than individual data and creates a stronger basis for policy change.
These peer-reviewed studies provide the evidence base for the strategies discussed above.
Classification of Drivers' Workload Using Physiological Signals in Conditional Automation View study ↗
69 citations
Meteier et al. (2021)
This study examines physiological indicators of workload stress in automated systems. For teachers, it highlights the importance of recognising physical signs of stress overload and suggests that monitoring workload intensity through observable indicators could help educators manage their capacity more effectively.
Assessing Stress Levels Amongst Teachers: Factors, Impacts, Coping Strategies and Teacher Well Being View study ↗
Merwe et al. (2025)
This research identifies key stress factors affecting teachers and examines their coping strategies and wellbeing outcomes. It provides valuable insights into the sources of teacher stress and offers evidence-based approaches for managing workload pressures and maintaining professional effectiveness in challenging educational environments.
Navigating Stress in Private Higher Education Colleges: Faculty Workload, Coping Strategies and Work Life Balance View study ↗
Malhotra (2025)
This study explores how private college faculty manage heavy workloads and achieve work-life balance. It offers practical coping strategies that teachers can apply to handle administrative pressures and multiple responsibilities whilst maintaining their mental and physical health.
Navigating triple demands: work-life balance challenges and coping strategies among Chinese university teachers pursuing further education View study ↗
Wu et al. (2026)
This research examines how Chinese university teachers balance professional duties, personal life, and continuing education. It provides insights into managing competing demands that many teachers face when pursuing professional development whilst maintaining teaching responsibilities and personal wellbeing.
Understanding Teacher Workload in Blended Learning: Insights Through the Job Demands-Resources Model View study ↗
Cheng et al. (2026)
This study analyses teacher workload in blended learning environments using the Job Demands-Resources Model. It offers practical insights for teachers implementing digital and hybrid teaching methods, helping them understand and manage the additional workload pressures created by technology integration.
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