Feature Request: Message History and Usage Analytics Dashboard

[pesnik]

Feature Request: Message History and Usage Analytics Dashboard

Is your feature request related to a problem? Please describe.

Currently, there's no way for users to view historical messages sent through our platform. This lack of message history makes it difficult to track past communications, verify message delivery, reference previous content, or analyze messaging patterns over time. Additionally, users have no visibility into usage metrics or trends, making it challenging to optimize their messaging strategy.

Describe the solution you'd like

Implement a comprehensive message history and analytics system that:

• Stores all messages sent through the platform with metadata (timestamp, recipient, status, etc.)
• Provides a searchable and filterable message history interface
• Displays detailed information for each message (content, delivery status, read receipts)
• Allows users to resend or use past messages as templates
• Creates a dashboard with usage analytics including:
  • Messages sent today, yesterday, this week, this month, custom date range
  • Delivery success/failure rates
  • Peak sending times
  • Recipient engagement metrics
  • Message volume trends over time
  • Channel distribution (SMS vs other channels)
• Enables CSV/Excel export of message history and analytics data
• Implements data retention policies configurable by admins

Describe alternatives you've considered

• Minimal logging without UI access (insufficient for user needs)
• Third-party analytics tools (requires data export, less integrated)
• Separate standalone reporting system (duplicates data, adds complexity)
• Email summaries of activity (not interactive, limited analysis capability)
• Storing only aggregated data without individual message history (loses valuable context)

Additional context

This feature would significantly enhance the platform's value by providing both operational visibility and strategic insights. The history component improves accountability and enables users to reference past communications, while the analytics dashboard helps optimize messaging strategies and resource allocation. The system should be designed with performance in mind to handle large message volumes without impacting the core messaging functionality.

Priority

• Low: Nice to have
• Medium: Important but not urgent
• High: Needed for upcoming release
• Critical: Blocking other work

Effort Estimate

• Small (1-3 days)
• Medium (1-2 weeks)
• Large (2+ weeks)

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CC: @frontend-team @backend-team @data-team