Alpha stage: testing hypotheses
Alpha is an experimental stage. It’s an opportunity to use prototypes to work out the right thing to build.
In Alpha stage you test the hypotheses that you reached at the end of Discovery stage. As you progress through Alpha, you will produce new hypotheses as you discover new things about the users and service.
You’re not validating what users like or dislike. You are finding out how well prototypes meet the actual needs of users.
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Meeting the Digital Service Standard
The Digital Service Standard guides teams to build services that are simpler, clearer and faster.Back to top
The team you need in Alpha stage
The same team that worked in the Discovery stage should continue to work in Alpha stage. This keeps the existing empathy, context and momentum.
You may need to add some other roles and capability in Alpha stage:
- business analyst
- technical architect
- agile coach
What to do in Alpha stage
At the start of Alpha stage, you should have a good understanding of the user journey and know what the major stages of the user journey are.
The team will keep improving the user journey map as their understanding of the journey grows. You should work in an agile way, iterating regularly so that you can learn quickly.
When the team has some certainty about the journey of users, create a user story map. This will help you define the minimum viable product (MVP).
In Alpha stage, you:
- take your hypotheses from Discovery stage and create some high-level concepts
- continue to develop a vision for the service using your user journey and user story map
- create storyboards to see possible solutions
- create prototypes to test hypotheses with users — you should explore hypotheses with different kinds of prototypes, including paper and HTML
- complete the stage by defining the minimum viable product
Keep the decision register
The decision register that you set up in Discovery becomes even more important in Alpha. It contains the evidence that guides what you will build, including:
- an explanation of the problem
- empathy map
- insight map
- results of affinity mapping
- pain points
- concepts for solutions
- decisions about changes in direction or why work on some solutions was stopped
- user feedback and actions taken
The register allows you to trace why you decided on a particular solution.Back to top
Identify service performance metrics
In Alpha stage you will need to decide which metrics you report on the Performance Dashboard. These will include the mandatory 4 key performance indicators (KPIs) for government services:
- completion rate
- cost per transaction
- digital take-up
- user satisfaction
To do this you should:
- have an analyst as part of your team (or available to your team) so you can start working out how you’re going to measure service performance
- use your hypotheses to help you define your goals and benefits
- develop a measurement plan that starts to define what metrics your service will report on (in addition to the mandatory KPIs)
- clearly define the start and end points for your service
- engage with the Performance Dashboard team to discuss your metrics and to understand how to publish your service dashboard: email@example.com
- engage with stakeholders to raise their awareness of your measurement plan and to decide the process for signing off and publishing the metrics
Activities for each sprint
Each sprint, the team should:
- hold a short planning meeting to prioritise user stories for the sprint
- conduct user research with at least 5 to 6 users who are representative of actual users of the service
- capture learnings and insights from the research findings
- report back on the prototypes and user research to stakeholders in a showcase or shareback
- have a team retrospective to reflect on the sprint and capture improvements
Test with different kinds of prototypes
The main activity in Alpha stage is to test the hypotheses by building prototypes.
Alpha prototypes are like a proof of concept. They help you to test your understanding of the service. They will show if you have included the most important and meaningful steps the users take when going through the service.
Test with users using paper prototypes first. As you learn from your user research, work up to testing with interactive HTML prototypes.
What prototypes need
A good prototype is not the real service but needs to show how the service works. The prototype must:
- look and feel like a real digital service
- have enough features for users to interact with
- show a seamless user experience along the ‘happy path’
- include content and data that looks real
- respond with alerts and feedback in the right places
The team tests which of these prototypes (if any) are best to carry forward, iterate based on feedback and test again.
Don’t spend too much time building the prototypes, as you will keep throwing them away and building new ones based on user feedback.
A prototype should not be functionally complete, have full end-to-end transactions or integrate with any working back-end systems. Just build the user journeys and user hypotheses you need to test.
It’s completely fine (and strongly recommended) to throw away the prototypes you build. You may choose to re-use some design patterns or components when you build in Beta stage, but you should not re-use a whole prototype.
Tools and technology for your prototypes
Technology should not be a blocker in prototyping. Choose tools for quick experimentation and rapid validation of the hypothesis.
Use a static-site generator
Use a static-site generator (for example, Jekyll).
It is also easy for designers to make changes directly to the prototype, without having to wait on a developer to make changes.
Use a version control system, like GitHub, to store the code for your prototype so that everyone in the team can work across the same copy and collaborate on changes.
Deploy the prototype to a cloud service so that you can easily share it around the team and with your stakeholders (for example, Amazon Web Services).
If you configure the service to automatically deploy whenever changes are made (sometimes called ‘creating a build pipeline’), then everyone will always be able to access the most up-to-date version.
Use simple technology to make an interactive feature
Include some interactivity to simulate a working service in most prototypes (for example, capturing user details on a form). Don’t use server-side technology for this functionality (for example, Java, .NET or Ruby). You want to keep the technology simple so it’s quick and easy to update your prototypes.
Don’t support every browser in the prototypes
Users are likely to be using the prototype in a controlled environment, such as a user research lab or on a team member’s computer. This means that you need to support fewer browsers than a public website.
Support the latest version of each major browser (Chrome, Firefox, IE and Safari). Support a specific browser or version if a specific group of users or stakeholders depend on it.
Use semantic and accessible markup across prototypes.
As part of the user research test your prototypes with users who have accessibility needs. Test with screen reader software and other assistive technology.
More users are accessing government services using mobile devices than ever before. If you design and build for mobile first, you can test prototypes in a more realistic context.
To design for mobile you should make simple screen, with only 1 or 2 things on each page. This means that users with larger screens will also have an easier experience.
Define the minimum viable product
By the end of Alpha, you will have a developed the user story map in depth.
The team should agree on a line across the user story map. What is above the line should reflect what is most important for the user and what the team can achieve. This will be your minimum viable product (MVP). This is the simplest thing you can build that meets the user need.
The MVP will set out the scope of what is built in Beta stage. The research you have been doing since Discovery stage will help you make choices about the technology you will use to build it.Back to top
How you know Alpha stage is finished
At the end of the Alpha stage, you should have:
- user stories — they should relate to the overall user journey rather than being tied to individual features
- a plan for your Beta stage and a less detailed plan for your Live stage
- a decision on the metrics you will use and a measurement plan for how to capture them
- a basic working system with limited functionality that you can demonstrate to users
- an understanding of legacy systems you need to replace or integrate with
- a decision on whether to progress to Beta stage
- analysis on the user needs research you have done
- a decision on your minimum viable product
Moving on to Beta stage
Your team should feel confident that you are proposing a service that will work in Beta stage. Make sure your timelines, scope and vision match the budget, team and resources you have for the next stage.
If you need a business proposal for Beta stage start on this as early as possible. You can start it as soon as the team is confident it can and should move to Beta. This gives you time to get approvals and avoids the team losing momentum.
If you think you may need a new domain name make sure you understand the gov.au domain name policies and processes.
Hold a final demonstration of your Alpha stage prototype with the leaders for your service. Use the demo to show what you have achieved in Alpha stage and explain your vision for the Beta stage.
Hold a final retrospective and make a backlog of epic user stories for the Beta stage.Back to top
Deciding not to move on to Beta stage
You may decide to end your service work in Alpha stage rather than continue into Beta stage.
For example, you may find that:
- user needs for the service are already being met by another government service or the private sector
- it costs too much to build the service based on the number of people who will use it
- there’s a better non-digital solution
- adapting or developing another service is a better solution
It’s still a successful Alpha stage if you decide not to move on to Beta because it means you have learned more about the problem and you won’t waste time and money.Back to top
Deciding to start a new Alpha stage
At the end of Alpha you may decide to start a new Alpha stage or even Discovery stage because you work out you need to focus on different things. For example, you might find a completely different user need that you want to explore through further research.Back to top