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How to manage participant data in a way that meets privacy laws.
How different factors can influence your choice of user research location.
How to make a detailed record of what happens during a user research session.
Create a mobile experience that meets user needs without relying on native or hybrid apps.
The data engineering community is for anyone with an interest in data science best practice and using evidence to make decisions.
What data is and how to use it, in its various forms, to inform the design and running of a service.
How to choose the right tools to measure your service: features, cost, security, support.
The data science community is for anyone with an interest in data science best practice and using evidence to make decisions.
How to use performance data to improve your service: getting started, what to measure, using data.
Service teams must publish their service’s metrics for each of the 4 key performance indicators (KPIs).
Work out what success looks like for your service and identify metrics which will tell you what’s working and what can be improved, combined with user research.
How to define your participant criteria, find participants for research and handle incentives.
Using an experience map to create a visual representation of users' experience.
The performance analysis community is for anyone interested in how we can use data to improve government services and content.
Defending your data and information systems.
Legal and consent requirements when doing user research.
Deciding what information to collect from your users and how to collect it.
Evaluate what data the service will be collecting, storing and providing.
How to use data to improve your service: measuring, reporting, analytics tools and techniques.
How to make sure your service's cloud environment is secure.
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