Anand Suraj
eXReality.ai

Spatial UX / AI-accelerated prototyping

QR-led spatial interaction and rapid prototyping

The problemEnterprise XR workflows needed clear navigation and feedback within headset, spatial-input and device-performance constraints.

My contributionI connected QR-led retrieval, compact content hierarchy and clear system states within headset constraints.

Prototype to stakeholder approval

3 days

Connectivity prototype reviewed with stakeholders.

QR-led spatial interaction and rapid prototyping — Spatial UX, AI-accelerated prototyping

Conceptual spatial illustration, not proprietary product UI.

My role
AI & design consultant
Team
XR engineers and client stakeholders
Timeline
Jul⁠–⁠Aug 2025
Tools
Unity, Figma, Cursor, Docker, MCP integrations

Process

The work behind the decisions.

  1. 01

    Evaluate before designing

    Heuristic evaluation of four XR experiences surfaced the spatial navigation, feedback and hierarchy patterns worth reusing.

  2. 02

    Design the spatial journey

    Mapped task flows within headset constraints and designed and implemented QR-led retrieval, compact information hierarchy and clear feedback, targeting sub-second technical response.

  3. 03

    Prototype to approval

    An interactive connectivity-comparison prototype, delivered in three days, earned stakeholder approval through iterative design reviews.

Conceptual spatial illustration — not proprietary product UI.
Conceptual spatial illustration — not proprietary product UI.

Key decisions

Design decisions that shaped the experience.

Decision 01

A lightweight entry into the experience

QR-led retrieval gives users a direct entry to content without a cluttered spatial menu.

Trade-off

Prioritize feasible interactions within current hardware constraints while retaining broader concepts for later exploration.

Decision 02

Clear states within headset limits

Compact information hierarchy and explicit system feedback account for battery, thermal and input constraints.

Trade-off

Keep content and system states lightweight without losing the feedback users need to navigate.

Design value & supporting evidence

QR-led spatial interaction and rapid prototyping

Four evaluations narrowed to two approved design directions in one month, with reusable interaction patterns the engineering team could build on.

Spatial interaction audit
4
AR/XR experiences reviewed for navigation, consistency and feedback.
Design explorations approved
2
Approved within one month.
Retrieval performance target
<1s
Sub-second technical retrieval design target, not a verified measurement.

Reflection

Headset limits made lightweight content and explicit retrieval states more valuable than a larger spatial menu.

Next case study

Clinical AI decision-support experience design

I mapped AI-assisted lung-detection output into clinical decision-support flows, informed by interviews and workflow benchmarking.

View case study
Experience map · conceptual
  1. Clinical context

    Interpret needs

  2. Readable output

    Integrate decision support

  3. Concept review

    Separate validation needs