Digital Interface Design and Accessibility
A brilliant dataset fails if nobody can read the screen — design choices include or exclude people.
← Back to studiesdeveloping
Venture In
Wero
Observe
Kite
Infer
Whakaaro
Create
Auaha
Evaluate
Tohu
Evidence you will build
- HCI audit report
- Interface prototype (v1 and v2)
- User test feedback record
- Revised interface with accessibility annotations
Why this matters
Science platforms only serve communities when interfaces are readable, accessible, and honest about data limits.
What you will investigate and collect
You will audit, prototype, test, and revise a simple interface — arguing for accessibility with evidence. Whether a digital interface meets accessibility and HCI standards for a real science audience. Audit notes, prototype screenshots, user feedback, revision annotations.
- Heuristic
- Issue found
- Severity
- Fix in v2
What you might make or share
- Data story packageData product
Pair charts with explicit limitations sourced from inquiry logs
Lets peers see which rows of evidence carry the headline takeaway.
What you will investigate
You will audit, prototype, test, and revise a simple interface — arguing for accessibility with evidence.
What you will collect
Heuristic, Issue found
What you might make or share
An HCI audit, a v2 prototype
