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User Feedback Log

LMU/COICP Example

User Feedback Log Example

Record LMU reviewer feedback from Campus Operations, Facilities, Residence Life, Campus Safety, IT, Compliance, AI Review, and the Architecture Review Board during the internal engineering review window.

ES-113 Feedback LMU Learning Signals

Example purpose

This artifact records feedback from LMU internal engineering reviewers during ES-113.

Feedback is operational evidence. It helps determine what the LMU team should fix, clarify, defer, or prioritize in Stewardship.

Project

LMU Campus Operations and Incident Coordination Platform

Document control

Field Value
Artifact owner LMU COICP Product Owner
Primary reviewers Campus Operations lead, Facilities liaison, Residence Life reviewer, Campus Safety liaison, IT security reviewer, Compliance reviewer, AI reviewer, Architecture Review Board chair
Status Accepted with feedback carried forward
Last updated 2026-07-06
Related Engineering Stage ES-113 — Monitoring and Operations
Project workspace target docs/project-workspace/monitoring/user_feedback_log.md

Feedback register

Date Source Feedback Category Severity Action Owner Status
Mar 19 Campus Operations lead Intake workflow is understandable after scope briefing. Usability Low Preserve onboarding message. Product owner Open
Mar 19 Campus Operations reviewer Closure rationale field needs examples. Workflow clarity Medium Add field guidance. Product engineer Open
Mar 20 Facilities liaison Handoff owner should show “next responsible office” more clearly. Handoff UX Medium Add UI/design improvement. Product engineer Open
Mar 20 Residence Life reviewer Residence hall scenario worked, but handoff evidence was hard to see. Evidence visibility Medium Improve evidence timeline view. Architecture lead Open
Mar 21 Campus Safety liaison Emergency-boundary warning works but needs stronger language. Scope/safety Medium Revise warning text. Product owner / Campus Safety Open
Mar 21 IT security reviewer Approved reviewer access held, but role matrix still needs full verification. Access control Medium Complete access matrix. IT security reviewer Open
Mar 22 Compliance reviewer Synthetic data controls held. Do not move to real data until retention rules are resolved. Compliance High Keep production data prohibited. Compliance reviewer Open
Mar 22 AI reviewer AI disabled status is clear; future AI enablement requires its own readiness cycle. AI governance Medium Keep AI disabled. AI reviewer Open
Mar 22 Architecture Review Board Evidence gaps in handoff flow should be treated as stewardship improvement priority. Evidence High Add improvement action. Architecture Review Board Open

Feedback themes

Theme LMU Interpretation
Intake workflow understandable Campus Operations can follow the basic intake model with scope briefing.
Handoff needs improvement Facilities and Residence Life workflows require clearer ownership and stronger evidence visibility.
Evidence timeline matters Reviewers want visible evidence, not just stored events.
Emergency-boundary wording needs refinement Campus Safety wants stronger “not dispatch” language.
Access-control verification remains incomplete IT will not support pilot until matrix testing is completed.
Retention remains a blocker for real data Compliance will not approve production or sensitive data use.
AI must remain disabled AI reviewer requires separate readiness cycle before enablement.

Feedback carried forward

  • Add closure rationale examples.
  • Improve handoff owner display.
  • Improve evidence timeline visibility.
  • Refine emergency-boundary warning text.
  • Complete access-control matrix testing.
  • Resolve retention before real-data use.
  • Keep AI disabled until future readiness cycle.
  • Prioritize handoff evidence gap remediation.

Feedback interpretation

Feedback supports continued internal engineering review and post-release learning.

Feedback does not support operational pilot because major evidence, access, and governance concerns remain unresolved.

Continue to Risk and Issue Updates

Update LMU risks and issues based on observed review evidence.

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