ChainAlign Admin Backend
1. Feature Name
ChainAlign Admin Backend - Mission Control System
2. Objective & Target Users
- Objective: The Admin Backend serves as the central nervous system for the ChainAlign platform, enabling scalable customer management, proactive system health monitoring, and intelligent platform optimization. It transforms ChainAlign from a single-tenant application into a multi-tenant intelligence platform that learns and improves with every customer interaction.
- Target Users: Internal ChainAlign team members (e.g., Customer Success Managers, Data Engineers, Product Managers, Sales Operations).
3. Core Design Principles
- Efficiency: Streamline common administrative tasks (onboarding, integration management, user support).
- Transparency: Provide clear, real-time visibility into platform health, customer usage, and data quality.
- Scalability: Designed to support hundreds of customers with minimal manual overhead.
- Intelligence: Leverage AI to proactively identify issues, suggest optimizations, and provide cross-customer insights.
4. Information Architecture & Layout
The Admin Backend will be a separate web application, accessible only to authorized ChainAlign personnel. It will feature a clear, left-hand navigation menu for quick access to different modules.
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| [HEADER] ChainAlign Admin Backend - Mission Control |
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| [NAV] | [MAIN CONTENT AREA] |
| - Dashboard | |
| - Customers | |
| - Integrations | |
| - Industry Intelligence | |
| - System Performance | |
| - Knowledge Base | |
| - Security & Compliance | |
| - Settings | |
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5. Module-by-Module Functional Specification
Module 1: Dashboard (Overview)
- Objective: Provide a high-level overview of platform health and key customer metrics.
- Widgets:
- Platform Status: Overall system health (green/yellow/red), uptime, active users.
- Customer Overview: Total customers, new trials this month, churn rate, at-risk customers.
- Integration Health Summary: Number of active integrations, integrations with warnings/errors.
- Top-Line Business KPIs: MRR, ARR, Churn, LTV (read-only, integrated from internal BI tools).
Module 2: Customer Management
- Objective: Manage the lifecycle of customer accounts from onboarding to offboarding.
- Key Features:
- Customer List: Searchable, filterable table of all customers with key details (name, industry, status, health score).
- Customer Detail View:
- Overview: Basic info, ChainAlign team assigned (CSM, Sales).
- Health Score History: Trend of their Data Health Score over time.
- Usage Analytics: API calls, feature adoption, meeting frequency.
- Integration Status: List of their active data integrations with health status.
- User Management: Add/remove users, assign roles within their tenant.
- Billing & Subscription: View current plan, usage, and billing history.
- Notes & Activity Log: Internal notes, communication history.
- Onboarding Wizard: Guided workflow for setting up new customers (industry selection, initial data connection).
- Offboarding Workflow: Process for archiving data, revoking access.
Module 3: Integration Management
- Objective: Configure, monitor, and troubleshoot data integrations for all customer tenants.
- Key Features:
- Integration List: Table of all active integrations (e.g., SAP S/4HANA, Salesforce, Google Sheets) with their status.
- Integration Detail View:
- Configuration: API keys, endpoints, authentication details (securely stored).
- Data Mapping: Interface for defining how source fields map to ChainAlign's canonical data model.
- Sync Logs: Real-time logs of data ingestion jobs, errors, and warnings.
- Health Metrics: Latency, throughput, error rates for the specific integration.
- New Integration Wizard: Guided process for adding new data sources.
- Field Mapping Interface: Visual tool for drag-and-drop mapping of source fields to ChainAlign fields, with AI-powered suggestions.
Module 4: Industry Intelligence Management
- Objective: Manage the AI's "brain" – the industry-specific knowledge bases and external data sources.
- Key Features:
- Industry Profile Management: Create/edit industry profiles (e.g., CPG, Pharma, Automotive) with their unique seasonality models, common constraint patterns, and relevant external data sources.
- External Data Source Management: Configure and monitor third-party data feeds (e.g., Nielsen, weather data, economic indicators) and their association with industry profiles.
- Knowledge Base Curation: Interface for reviewing and approving AI-generated insights, and for manually adding/editing curated knowledge (e.g., best practices, case studies).
Module 5: System Performance & Analytics
- Objective: Monitor the performance and usage of the ChainAlign platform.
- Key Features:
- Real-Time System Health: Dashboards for API response times, database performance, AI engine performance, and infrastructure health.
- Usage Analytics: Aggregated, anonymized data on feature adoption, user engagement, and common workflows across all customers.
- Cost Analytics: Breakdown of infrastructure costs by customer, feature, and module.
- Error & Anomaly Detection: Automated alerts for system errors, performance degradation, and unusual usage patterns.
Module 6: Knowledge Base & Training Management
- Objective: Manage the content for in-app guidance, training, and customer success automation.
- Key Features:
- Content Editor: Create and manage articles, FAQs, and guided tours.
- Training Module Builder: Assemble training paths for different user roles and industries.
- Recommendation Engine Configuration: Define rules for proactive training recommendations based on user behavior and health scores.
- Customer Success Playbook: Document and automate best practices for CSMs.
Module 7: Security & Compliance Control
- Objective: Manage platform-wide security settings, access controls, and compliance reporting.
- Key Features:
- Access Control Management: Define global roles and permissions (e.g., ChainAlign Admin, Support, Sales).
- Audit Log: Immutable, searchable log of all administrative actions and sensitive data access.
- Compliance Reporting: Generate reports for SOX, SOC2, and GDPR compliance.
- Data Retention Policies: Configure and enforce data retention and deletion schedules.
- Security Alerts: Monitor and respond to security incidents.
6. User Journeys (Examples)
User Journey 1: Onboarding a New Customer
- Sales Handoff: Sales team marks a new customer as "Won" in CRM. This triggers an automated task in the Admin Backend for the CSM.
- CSM Initiates Onboarding: The CSM navigates to the "Customer Management" module and clicks "New Customer." They select the customer's industry (e.g., CPG) and initiate the Onboarding Wizard.
- Data Connection: The wizard guides the CSM through connecting the customer's SAP S/4HANA system. The Field Mapping Interface uses AI to suggest mappings for common S&OP data elements.
- User Setup: The CSM adds the customer's S&OP team members and assigns them roles (e.g., Demand Planner, Supply Planner).
- Initial Health Check: The system automatically runs an initial Data Health Score assessment. The CSM reviews it with the customer, identifying any immediate data quality issues.
- Go-Live: Once the data is connected and users are set up, the CSM marks the customer as "Active." The customer can now log in and begin using ChainAlign.
User Journey 2: Proactive Issue Resolution
- Alert Trigger: The Integration Health & Monitoring module detects a sudden spike in API errors for "Acme Corp's" Salesforce CRM integration. An automated alert is sent to the Data Engineer.
- Engineer Diagnoses: The Data Engineer navigates to the "Integration Management" module, drills down into Acme Corp's Salesforce integration, and reviews the Sync Logs and Health Metrics. They identify that the Salesforce API key has expired.
- Engineer Resolves: The Engineer updates the API key in the configuration. The system automatically re-tests the connection, and the integration status returns to "Healthy."
- CSM Notified: The CSM for Acme Corp receives an automated notification that the integration issue has been resolved. They can then proactively reach out to the customer to confirm everything is working.
User Journey 3: Platform Optimization
- Product Manager Review: A Product Manager reviews the System Performance & Analytics dashboard. They notice that the "AI Insight Engine" has a consistently high latency for customers in the "Automotive" industry.
- Deep Dive: They drill down into the "Industry Intelligence Management" module and review the Industry Profile for Automotive. They discover that the current AI model is not optimized for the complex product hierarchies common in that industry.
- Model Optimization: The Product Manager works with the Data Science team to retrain the AI model with a new dataset that includes more automotive-specific data. They deploy the new model via the Industry Profile Management interface.
- Performance Improvement: Over the next few weeks, the Product Manager monitors the System Performance & Analytics dashboard and observes a significant reduction in AI Insight Engine latency for Automotive customers.
**This Admin Backend FSD transforms ChainAlign into a scalable, intelligent platform that becomes more valuable as it grows, creating sustainable competitive advantages through network effects and operational excellence.