Journey Factory – UI Specification 1. Goal Build a unified, modular, AI-guided interface that enables end-to-end creation of customer journeys in telecom. The platform integrates sub-components like BPMN flow creation, microservice/connector generation, UI construction, asset reuse, and monitoring, guiding the user step by step. 2. Primary Personas Journey Designer: defines journey flow, selects templates, validates user experience. Backend Engineer / Connector Developer: builds required microservices, adapters, and convenience APIs. Frontend Engineer: implements or tweaks UIs suggested by the AI. Product Manager: tracks progress, approves versions, understands impact on TCO. DevOps / SRE: monitors health and reliability of components and automations. Reuser / Contributor: publishes, tags and curates reusable assets (UIs, flows, services). 3. Information Architecture (high-level) Home / Dashboard Journey Repository / Library Flow Builder (BPMN) Component Discovery & Reuse Microservice / Connector Generator UI Builder Integration & Dependency Graph Task / Subproject Orchestrator Monitoring & Health AI Assistant / Guidance Pane Templates & Versioning Settings / Permissions / Audit Notifications / Activity Feed Help / Documentation 4. Main Screens and What They Should Contain 4.1 Dashboard / Home Purpose: quick overview of active journeys, progress, alerts, reuse opportunities, and AI suggestions. Elements: Cards for active journeys (% complete, estimated time, owners) Recent activity feed (new flows, service creations, errors) Health summary: microservices, flows, UIs (healthy / warning / error) Reuse suggestions / “reuse score” (assets that can be repurposed) AI quick-start: “What do you want to build?” with shortcuts Impact metrics (estimated TCO reduction, reuse count) 4.2 Journey List / Repository Purpose: manage existing journeys, create new ones, clone, version. Elements: Filterable list (owner, status, tags, date, involved modules) Modular composition indicators (which submodules compose each journey: BPMN, UI, connectors) Quick actions: edit, open builder, view dependencies, fork/version Semantic search (“find journeys that onboard enterprise customers”) 4.3 Flow Builder (BPMN-centric) Purpose: define the core journey through steps, decisions, and logic. Elements: Visual BPMN editor with drag-and-drop nodes adapted to internal frameworks Sidebar palette: tasks, decisions, integrations, event triggers, microservice calls AI suggestion overlay: “Suggested next step”, reusable subflow templates Validator: inconsistency warnings, missing dependencies, dead paths “Generate sub-projects” to spawn tasks for uncovered flow pieces Version history and diff view 4.4 Component Discovery & Reuse Purpose: find and attach existing reusable pieces. Elements: Semantic intent search (“Payment validation service for prepaid onboarding”) Asset list: UIs, microservices, adapters, BPMN templates Preview pane (description, tags, dependencies, contributors, versions) Drag-and-drop or attach actions into current journey/flow Auto-recommendations based on the active flow 4.5 Microservice / Connector Generator Purpose: create and configure required backend services. Elements: Wizard for new service creation (types: backend service, adapter, convenience API, connector) AI-assisted suggestions (“Need order data? Generate Order Connector”) Endpoint/contract setup (OpenAPI), auth, retry policies Dependency simulation (consumers/providers) Build/deploy status (CI/CD integration) Reuse suggestions or derived variants of existing services 4.6 UI Builder Purpose: construct front-end pieces of the journey with AI help. Elements: Design canvas with reusable UI components (forms, cards, confirmations) Natural-intent input (“Create onboarding form with address validation”) Auto-generated code snippets (e.g., React or company stack) Live responsive preview (desktop/mobile) Data binding to backend services Theme/style conformity Collaborative editing & history 4.7 Integration & Dependency Graph Purpose: visualize relationships between flows, UIs, services, and data. Elements: Interactive graph with nodes (journey, flow, UI, service, data source) Status coloring (healthy, missing, deprecated) Node actions: go to definition, refresh, swap alternative Impact tracing (“If Service X fails, what path breaks?”) 4.8 Task / Subproject Orchestrator Purpose: track derived tasks and coordinate execution. Elements: List of subtasks (e.g., build service, create UI, validate flow) Dependencies between tasks Assignment, effort estimates, progress bars Integration with tracking systems (Jira, etc.) Auto-resolve when AI detects external completion 4.9 Monitoring & Health Purpose: real-time visibility into journey execution and stability. Elements: Journey-level metrics: execution time, failure rates, step latencies Health dashboards: microservice latency, UI errors, flow success rate Configurable alerts (e.g., degraded service blocking the journey) AI analysis: anomalies detected, suggested fixes Aggregated logs with drill-down links 4.10 AI Assistant / Guidance Pane (persistent) Purpose: central conversational/intention interface. Elements: Natural language prompt (“Help me build a new enterprise onboarding journey”) Proactive suggestions (“This journey lacks billing validation; add it?”) Explanations of actions taken (“Generated customer info UI and wired it to Order Connector”) Quick actions: create service, attach form, validate flow 4.11 Templates & Versioning Purpose: manage reusable templates and evolution. Elements: Template libraries (journeys, flows, UIs, services) Fork/clone/customize workflows Version comparison with visual diffs Semantic tagging (e.g., “enterprise-onboarding-v2”, “prepaid-flow-stable”) 4.12 Settings, Permissions & Audit Purpose: control access and trace changes. Elements: Role management (who can edit, approve, publish) Audit trail per object Feature flags for experimental modules Corporate identity (SSO integration) 4.13 Notifications / Activity Feed Purpose: keep stakeholders aligned. Elements: Global and journey-specific feed (task creation, failures, approvals) @mentions (“@Ana, flow X is ready for review”) Persistent alerts (reuse suggestions, broken dependency) 4.14 Help / Docs / Onboarding Purpose: embedded support. Elements: Contextual tours per persona and journey type Help cards (“Why this was suggested”, “How to fix validation error”) Example journeys with use-case explanations 5. Typical Usage Flow (example) Product Manager creates “Enterprise Onboarding” journey. Journey Designer opens Flow Builder, selects/adapts a BPMN template. AI suggests required microservices; Component Discovery finds existing Order Connector. Missing pieces trigger the Generator to create a “Customer Validation Service.” UI Builder scaffolds the onboarding form, wires it to backend services. Integration Graph shows dependencies; designer runs validation. Subprojects spawn (deploy service, review UI). Monitoring reports health; AI recommends latency improvements. Journey version is finalized and promoted to production. 6. Reusable UI Components Status cards Chips/tags (module, status, version) Semantic search bar Context breadcrumbs (Journey > Flow > Service > UI) Quick-create modals Badges: “Reused”, “AI-generated”, “Deprecated” Timeline of changes Zoomable/pannable graph view 7. States & Failure Handling Loading placeholder (“Analyzing your flow…”) No reusable asset (“No connector found; create new?”) Version conflict resolution with highlighted diffs Automatic retry/fallback for degraded integrations 8. Responsiveness / Devices Desktop: full layout with persistent sidebar and rich central canvas Tablet: collapsed sidebar, focus on current flow Mobile: lightweight view (status overview, notifications, quick actions); editing limited or guided 9. Accessibility High contrast (dark and optional light theme) Keyboard navigation Explicit labels Screen reader semantics Visual/auditory feedback for critical events 10. Suggested Mockup AI Prompts (per screen) Flow Builder: “Design a dark-themed, modern web app screen for a ‘Flow Builder’ in a telecom Journey Factory platform. Show a visual BPMN editor with drag-and-drop nodes (activities, decisions, integrations), a sidebar of components, an AI suggestion panel labeled ‘Suggested next step,’ version history, and validation warnings. Include breadcrumb navigation like ‘Journey > Enterprise Onboarding > Flow.’ Clean typography, subtle card shadows, and status badges (healthy/warning/error). Primary action buttons visible.” Dashboard: “Create an overview screen showing active journeys, reuse suggestions, health widgets, AI quick actions, and impact metrics like estimated TCO reduction. Include recent activity feed, alert cards, and a modular layout that scales on desktop.” Component Discovery: “Show a search interface with semantic filters, list of reusable services with previews, tags, contributor info, and ‘Attach to journey’ actions. Include recommendations based on current flow.” Microservice Generator: “Design a wizard-like UI to generate connectors and microservices: endpoint definitions, contract preview (OpenAPI), AI hints, dependency simulation, and build/deploy status indicators.” UI Builder: “Mock up a UI builder canvas with form components, live preview, generated code snippet panel, responsive toggles, and binding to backend services. Include an intent input box at top (‘Create customer onboarding form’).” Monitoring: “Create a health dashboard that shows task progress, microservice latency, flow success rates, dependency graph snippet, and AI anomaly flags. Include alert status and logs drill-down links.” 11. Extensions / Evolutionary Ideas “Playground” to simulate journeys pre-deploy “What-if” analysis for failure scenarios Continuous optimization suggestions (“Merge service X and Y to reduce latency”)