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The scale could be small to grand challenges or cheap to expensive depending on the policy area.ĭata tool cards are questions that help policy makers work with data scientists to think and discuss possible data that they might need to include in their policy project.ĭata tool cards have questions on them like ‘What would be proxy data for your project?’ and ‘What would someone’s phone tell you about your policy?’. Placing everyone’s challenge on a scale often helps to show the variety of challenges you will discover.
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You should then discuss everyone’s challenge setting as a group. If you have completed the hopes and fears exercise you can ask them to base their ‘how can we’ on some of the hopes and fears you have previously discussed. To do challenge setting, give members of the discussion the cards and ask them to write down their aims or needs from a policy, event or experience. Challenges should be as short as possible and no longer than 4 lines long. There should be space for people to write a challenge. To start using challenge setting you will need thick marker pens and challenge setting cards.Ĭhallenge setting cards are A5 sized with ‘How can we…’ written on them. It also helps you to find people to work with to design policy.Ĭhallenge setting works with users and experts as well as any other interested party. Using challenge setting at an early stage of a project helps you look at your problem from a users’ perspective and understand their needs and desires. The tool works well alongside other tools like journey mapping and idea days or policy jams. Use challenge setting at the beginning of a project to help you understand what people need and want from a policy area. You should usually do this before challenge setting. The hope and fear card exercise helps frame the problem for users. It is impossible to know everything about users and their needs without user research and the key aim of the diagnosis is to understand what to do in discovery: what questions about users, their needs and the possible policy solution do you want to answer?. Having brought together existing evidence and insight in the diagnosis stage, you should also have created a set of research questions about the things you don’t know, or want to clarify in discovery. This challenge will likely change and adapt as a more rich understanding of users and their needs occurs in discovery. Perhaps most importantly, you should have a project challenge that everyone in the team understands and agrees with.
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Long decision chains will hamper innovation and slow down the project.Ī good understanding of extended stakeholders and interested parties should also achieved before moving onto discovery. It is also important that the team has final say on the project and is able to hold themselves to account. Each person should have an understanding of either the problem or bring an approach / specialist knowledge to the project. designers, user researchers, ethnographers, data scientists, civil servants and policy / area experts. A team should be as multidisciplinary as possible and include people from a variety of backgrounds i.e. You should use the diagnosis stage to bring together a core team of 3-9 people that will own the policy project and push it forward. What do you think they want to achieve? What are users trying to do and why? All of the above can (and may) be disproven by user research in the discovery section but it is important to have a basic understanding of user needs, even if they change or adapt in the future. Knowing who your users are and what their experience of a policy is will be the basis for understanding their needs. This will not only help you to explore the context of your policy area, but also the pain points that you will need to learn more about and focus on in the discovery section. You should have an understanding of why and how people start using a policy, interact with it and then leave it or stop using it. Understanding how people use or interact with a policy or service is also very important. You can segment users to help you understand their needs or plan research. You are not expected to understand every single user, but a good understanding of the demographics and groups of users interacting with a service or policy is fundamental to organising user research.