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Question WRK 06

Luke Nathan Hayes edited this page Oct 20, 2026 · 3 revisions

WRK-06 How will each page welcome a person who is new to the project and learns by doing?

Start here · Questions · Progress · People decide

Why this matters

Practical experience from many walks of life strengthens the design.

What to bring back

A plain-language reading check with workshop examples, clear next actions, explained technical terms and feedback from people with different experience.

What we know so far

  • User directions for a linked GitHub wiki and human decisions, 20 October 2026 — reviewed source; public copy can be added through the evidence process (Planning conversation)

AI-generated potential answers

For discussion and review · research checked 2026-10-20. These are AI-generated options and transfer assessments. The user's request and research method identify the source of this work. The source catalogue states what the references establish. The decision and approval record retains its own status.

Explain each page through a useful everyday task, plain words and a clear next action. Invite people with varied experience to try it, then improve wording and navigation from their questions and observed results.

Existing-practice adaptation

AI-generated adaptation of an existing pattern. Give a new reader a practical job, such as comparing two kiosk power options or finding who reviews a site decision. Ask them to explain the choice in their own words and record where the page needs a clearer example.

Research basis: Digital Performance Standard: measure service success · Australia's AI Ethics Principles.

Future concept to explore

AI-generated future concept. A personal Aura could offer voice, translation, visual explanation or XR practice at the reader's chosen depth. Future adaptive teaching could use local task outcomes to suggest learning while public text remains complete and personally unprofiled access remains available.

Examples and local differences

  • Digital Performance Standard: measure service success: AI transfer assessment: Judge clarity by whether people accomplish the task they came to do. Local difference to check: A government digital standard is a useful benchmark; this wiki also needs local language, cultural guidance and hands-on reader feedback.

Evidence to bring back next

  • Try pages with a tradesperson, driver, artist, nurse, retiree and student where participation is agreed.
  • Check that technical terms, AI-generated suggestions and human decisions are easy to distinguish.

People and connected choices

Who reviews: Luke, as project initiator, reviews the project working method within the authorised planning and wiki scope; contributors help test its clarity and usefulness. Each reviewer retains responsibility for decisions within their actual role.

Connected questions: WRK-01

Work state: open. Assigned person or AI assistant: Ready to be assigned.

Research and alternatives can move ahead while connected decisions develop. Before acting on a choice, check the people, evidence and approved scope in People decide.

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