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slp-modular-cms/aidlc-docs/features/cms-frontend/inception/plans/user-stories-assessment.md
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User Stories Assessment

Request Analysis

  • Original Request: Build a React-based CMS admin frontend with Login, Dashboard, User Management, Profile, System Settings, and CMS placeholder pages
  • User Impact: Direct — this is an entirely user-facing application; every requirement is about what users see and do
  • Complexity Level: Moderate — multiple pages, multiple user roles (Owner, Admin, User), distinct user workflows
  • Stakeholders: CMS administrators (Owners, Admins), regular CMS users

Assessment Criteria Met

  • High Priority: New user-facing features — entire frontend is new user interaction surface
  • High Priority: Multi-persona system — three distinct roles (Owner, Admin, User) with different access levels
  • High Priority: Complex business requirements — auth flows, invitation flows, role-based navigation, setup initialization
  • High Priority: New product capabilities — no existing frontend; this is the first admin interface
  • Benefits: Stories clarify per-role behavior; acceptance criteria define testable boundaries for each feature

Decision

Execute User Stories: Yes

Reasoning: The CMS frontend is a multi-persona, multi-page user-facing application with distinct workflows per role. User stories will:

  1. Make explicit what each role can and cannot do on each page
  2. Provide testable acceptance criteria for each interaction
  3. Clarify the invitation and setup flows which have multiple states (valid/expired/used tokens)
  4. Define the role-based navigation and access control expectations clearly
  5. Serve as a specification for future development phases (CMS content modules, profile editing)

Expected Outcomes

  • Clear per-persona stories covering login, dashboard, user management, invitation flow, profile, and settings
  • Explicit acceptance criteria for edge cases (expired invitations, unauthorized access, system not initialized)
  • Role-based stories that define Owner vs Admin vs User capabilities without ambiguity
  • Reusable baseline for future feature extension