User-centric data publishing (Alpha)
  • User-centric data publishing
    • Introduction
    • Who is this toolkit for?
    • How to use this toolkit
    • Dictionary of data terms
  • Contents
  • Section 1. Building the foundation for open data
    • A basic introduction to open data
    • Understanding our rights to access data
    • Open data maturity
      • Resources: Open data maturity
    • Ethics and transparency
  • Section 2. Planning for impactful open data initiatives
    • An introduction to the Data Landscape Playbook
    • Play one: Explore the problem and how data can address it
    • Play two: Map the data ecosystem
    • Play three: Assess the policy, regulatory and ethical context
    • Play four: Assess the existing data infrastructure
    • Play five: Plan for impact when designing your data initiative
  • Section 3. A user-centric approach to publishing
    • Understanding the user journey
      • The use case
      • Understanding different user needs
      • Targeting intended audiences
    • Engaging effectively with data users
      • Two-way communication and feedback
      • From data to story
    • Building communities around open data use
      • Characteristics of an open data user community
        • Purpose
        • Community enabler(s)
        • Collaborative method
        • Other observations
      • The current landscape of open data user communities
      • Engagement with data communities
    • Resources: User-centric publishing
  • Section 4: Publishing guidance for new data publishers
    • Open data licensing
    • The FAIR principles of data access
      • FAIR data assessment tools
    • Data quality and metadata
      • Tools and frameworks to help you assess open data quality
    • Publishing data on the web
  • Thank you
Powered by GitBook
On this page
  1. Section 3. A user-centric approach to publishing
  2. Understanding the user journey

The use case

Articulating how a data user will interact with a data product or data system is essential for understanding user requirements — and for communicating user needs to others

PreviousUnderstanding the user journeyNextUnderstanding different user needs

Last updated 2 years ago

A use case is typically a project management tool that provides a description of the ways in which a user interacts with a system or product. For data publishers, the same can apply; developing a strong use case can help to assess and adapt the effectiveness of your data offer.

A use case can help to:

  • Manage the scope of the publication or project

  • Establish the requirements of each actor

  • Outline the ways a user will interact with the system, including which technological functions they may require - which in turn helps to communicate technical requirements to business stakeholders

  • Visualise system architecture, which helps to identify how data should be presented and how data users view it, interact with it and download it

A use case should establish and define a few key components:

Is your use case clear, agreed and in alignment with project/organisational aims? Might you need to establish or refresh a use case for different data offers?

Resources for developing the use case:

Improving the user experience by Usability.Gov
Creating a use case in 6 steps by Indeed
Create a use case scenario: how to think like users to improve products by NuLab