Spatial Computing Deployment Checklist (2026 Edition)

Use this checklist to run a 30-day pilot for Apple Vision Pro-class headsets (including a potential Vision Pro 2 rollout in 2026). The goal is to avoid “cool demo” outcomes and instead produce a measurable business case.

1) Choose the right use case (Week 0)
- Identify 1 workflow with a clear owner and budget (Design, Training, Field Service, Ops).
- Define one primary metric: cycle time, incident rate, first-time fix rate, or meeting hours.
- Set a target improvement threshold: minimum 10–15% improvement to justify scale.
- Confirm the workflow has spatial advantage (3D objects, multi-surface info, hands-free operation, or shared context).

2) Define the pilot scope (Week 0)
- Pick 5–20 users maximum (small enough to support, large enough for signal).
- Decide session expectation: 3 sessions/week, 20–45 minutes each.
- Establish a baseline: measure current process time and error rates for 1–2 weeks pre-pilot if possible.

3) Enterprise readiness (Week 0–1)
- Identity: confirm SSO approach (Okta or Microsoft Entra ID) for pilot apps.
- Device management: confirm MDM policy requirements (passcode, encryption, app install rules).
- Data handling: classify what data can be viewed in-headset (PII, customer data, IP).
- Support model: name a “pilot operator” who handles onboarding and troubleshooting.

4) App strategy (Week 1)
- Prefer “hybrid” solutions: a 2D companion (web/Mac/iPad) plus spatial features.
- If building custom: isolate spatial interaction logic behind an adapter to reduce OS/API churn.
- Ensure logging exists: session length, task completion time, feature usage, and crash rate.

5) Onboarding and training (Week 1)
- Run a 60-minute onboarding session per cohort.
- Create a 1-page “daily setup” guide (fit, battery, cleaning, comfort tips).
- Provide 2–3 scripted tasks that mirror real work (not exploratory sandboxing).

6) Measurement plan (Weeks 2–4)
- Track weekly active users (WAU) and 7-day retention.
- Track time-to-complete for the target workflow vs baseline.
- Collect qualitative notes after each session: comfort, nausea, input friction, and collaboration quality.
- Watch for drop-off after novelty wears off (typically after sessions 3–5).

7) ROI and decision (End of Week 4)
- Quantify improvement: % cycle time reduction, fewer review rounds, fewer errors, or reduced meeting hours.
- Quantify costs: device cost, software cost, support time, and content creation.
- Decide: stop, iterate for 30 more days, or scale to the next team.

Recommended “pass” criteria for scaling:
- At least 60% of pilot users remain active in Week 4.
- The primary metric improves by 10–15%+.
- Users report comfort is acceptable for 30+ minute sessions.
- IT/security sign off on identity, device policy, and data classification.