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Cross-cutting interests Statistics representing society: How well or poorly do statistics represent society, and what are the impacts of this on how they are used and valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Communicating statistics: How does the communication of statistics influence their use and how they are valued? What factors ought to be considered in the communication of statistics, for example the audience, uncertainty around the estimates? Office for Statistics Regulation, 2023
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Cross-cutting interests Wider evidence landscape: How are statistics valued and used in the wider evidence landscape, such as in comparison to privately produced statistics, anecdotal evidence or management information, and what influences this? What sets official statistics apart within the wider evidence landscape, how well is this understood, and how does this influence confidence in them, their use and how they are valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Changing world: How have evolutions in our statistical system (such as the greater focus on administrative sources for statistics) influenced how statistics are produced, used, and valued? How may advances in wider society (such as the increasing sophistication of large language models) influence how statistics are produced, used, and valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Interactions: How does the way that statistics are produced influence the value that users get from them, and how can this be addressed to maximise value? To what degree to statistics need to be directly used for them to provide value (or do people value outcomes from others using them instead)? Office for Statistics Regulation, 2023
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Valued: Develop a better understanding of the public good of statistics Statistics that serve the public good: What does it mean for statistics to serve the public good, and how might this be measured and communicated? What is unique about the way in which official statistics serve the public good compared to other sources of information? How can views from ‘the public’ be brought into this conversation, respecting that there is no single homogenous group and there will be many varied perspectives? Office for Statistics Regulation, 2023
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Used: Protect the role of statistics in public debate Misuse of statistics: What makes a statistic or data vulnerable to misuse, in what contexts is this more likely (including who is most susceptible to this and why), and how is this best addressed? What are the impacts when statistics or data are misused, how does misinformation propagate? How can public confidence in statistics or data be maintained in the face of misuse? Office for Statistics Regulation, 2023
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Used: Protect the role of statistics in public debate Use of statistics: Who is using official statistics, where do they find them, how are they being used, and what influences this? What do people look for in statistics or data being used as evidence to have confidence in using them, and how can we build this confidence? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Value: Building on the work of others, how should we understand and measure the value of statistics and data used as evidence, and what influences this? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Quality: How does the quality of statistics and communication of this quality influence public confidence in the statistics? How should the quality of statistics be conceived, measured, and communicated to support users in selecting statistics that are most appropriate for their needs? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Trustworthiness: What influences perceived trustworthiness of statistics or data being used as evidence, and how can those across the statistical system increase it? To what degree do people trust official statistics or other data used as evidence, and how much do perceptions of trustworthiness influence this? Office for Statistics Regulation, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. What will be the future level and mix of demand for different DWP services through different channels, (digital/online and video, phone, face-to-face)? Does effectiveness vary for different groups? How effective are digital/virtual services (for example labour market support, drug and alcohol interventions, parenting interventions) compared to face-to-face provision, in helping people move into work? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. What are the key factors that could drive improved productivity and efficiency in the delivery of DWP services? How can DWP services be designed to effectively identify vulnerable groups and those with complex multiple needs, in order to facilitate early intervention in partnership with other organisations? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. How can DWP best learn from serious cases to develop responsive and robust services for those most at risk? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. What are the root causes of complaints and disputes? What issues cause customers to be most dissatisfied with DWP? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. What is claimants’ experience of the welfare disputes process (Mandatory Reconsiderations and Appeals) and how does it affect them? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. Fraud and error is incorrect payment caused by us holding incorrect information about a claimant’s circumstances. To what extent is this caused by non-compliant behaviour on the part of the claimant, whether intentional or not? What drives non-compliant behaviour and what levers might be successful in discouraging and reducing it? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. How can DWP improve the effectiveness of claimant access to DWP information in order to prevent fraud and error in the benefit system? How can DWP ensure its communication campaigns enable good claimant understanding of respective roles and responsibilities? How can DWP design its systems and communications to encourage claimants to report their changes of circumstances in a timely and accurate way? Department for Work and Pensions, 2023
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer. What are the best ways to design systems and policy to minimise fraud and error, while maintaining excellent and accessible services? How can DWP maintain the right level of customer service and support, whilst keeping pace with the propensity to commit fraud and tackling new forms of fraud? What future functionality will DWP need to do this? How can the use of technological solutions including machine learning, network analysis and AI be maximised? Department for Work and Pensions, 2023
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Support financial resilience in later life What are the future trends for demographics and working/saving behaviour? How do these vary across demographic groups, including ethnicity and other characteristics? What further reforms to state and private pension provision might DWP require to ensure long-term sustainable financial security for older people and pensioners? Department for Work and Pensions, 2023
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