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SaaS User Notification System
Multi-channel notification system (email, push, in-app) for a SaaS product with both end users and admin personas. Demonstrates comprehensive decomposition with 11 stories including investigation spike, foundation infrastructure, channel implementations, and enhancement layers. Shows parallelization opportunities and phased MVP approach.
Input
What you provide to the skill
Break down a user notification system - email, push, in-app alerts for a SaaS product. Target users: end users and admins.
Output
What the skill generates for you
Feature Decomposition: User Notification System
Total Stories: 11 stories (1 investigation + 10 implementation)
Estimated Timeline: ~21 days (assuming 1 team)
Dependencies: Investigation story (1) must complete first; Stories 2-3 are foundation; Stories 4-8 depend on foundation
Story 1: 🔍 Email Delivery Provider Investigation [Investigation]
Estimated Size: 1 day
Priority: MUST HAVE (blocks architectural decisions)
As a technical lead,
I want to evaluate email delivery providers (SendGrid, AWS SES, Postmark, Mailgun),
So that we select a service that meets deliverability, cost, and compliance requirements.
Acceptance Criteria (starters):
- Document 3-4 provider options with pricing models
- Compare deliverability rates and reputation management
- Evaluate API complexity and integration effort
- Check compliance features (GDPR, CAN-SPAM, unsubscribe)
- Assess monitoring/analytics capabilities
- Recommend provider with rationale in decision document
Technical Notes:
- Consider transactional vs. marketing email needs
- Review existing infrastructure (AWS vs. other cloud)
- Check rate limits and scalability
- Estimate monthly volume to calculate costs
INVEST Check: All criteria met (timeboxed research)
Story 2: Notification Data Models & Database Schema [Foundation]
Estimated Size: 2 days
Priority: MUST HAVE (blocks all implementation stories)
Dependency: Story 1 (need to understand provider requirements)
As a developer,
I want database tables for notifications, preferences, and delivery tracking,
So that we can store notification data and user preferences.
Acceptance Criteria (starters):
-
notificationstable: id, user_id, type, channel, title, body, data (JSON), status, created_at -
notification_preferencestable: user_id, channel, category, enabled, frequency -
notification_deliveriestable: notification_id, channel, provider_id, status, sent_at, delivered_at, error - Support for notification categories (account, billing, product_updates, system)
- Indexes on user_id, status, created_at for query performance
- Migration scripts with rollback support
- [Add more based on analytics requirements]
Technical Notes:
- Consider notification retention policy (archive old notifications)
- Add soft deletes for audit trail
- JSON field for flexible metadata per notification type
- Consider partitioning for high-volume systems
INVEST Check: All criteria met
Story 3: Notification Service Core [Foundation]
Estimated Size: 3 days
Priority: MUST HAVE (blocks delivery implementations)
Dependency: Story 2 (requires data models)
As a developer,
I want a notification service that queues and routes notifications to channels,
So that notifications can be sent reliably across email, push, and in-app.
Acceptance Criteria (starters):
- Service accepts notification requests with user_id, type, channel(s), payload
- Checks user preferences before routing to channels
- Queues notifications for async processing (background job)
- Routes to appropriate channel handler (email/push/in-app)
- Records delivery attempts with status tracking
- Implements retry logic for failed deliveries (3 attempts with backoff)
- Exposes status query API (get notification status by ID)
- [Add more based on observability requirements]
Technical Notes:
- Use job queue (Sidekiq, Bull, Celery depending on stack)
- Consider rate limiting per channel
- Build for extensibility (easy to add new channels)
- Log all notification events for debugging
INVEST Check: All criteria met
Story 4: Email Notification Implementation [Core]
Estimated Size: 3 days
Priority: MUST HAVE
Dependencies: Stories 2 + 3 (requires foundation)
As an end user or admin,
I want to receive email notifications for important events,
So that I stay informed even when not using the application.
Acceptance Criteria (starters):
- Integration with selected email provider (from Story 1)
- HTML email templates with responsive design
- Plain text fallback for all email types
- Unsubscribe link in footer (one-click unsubscribe)
- Handles delivery failures and bounce notifications
- Tracks open rates via pixel (optional, privacy-conscious)
- Supports batch sending for digest notifications
- [Add more based on template variety]
Technical Notes:
- Template engine (Handlebars, Jinja, etc.)
- CSS inlining for email client compatibility
- Preview text optimization
- Test across major email clients (Gmail, Outlook, Apple Mail)
INVEST Check: All criteria met
Story 5: Push Notification Implementation [Core]
Estimated Size: 2 days
Priority: MUST HAVE
Dependencies: Stories 2 + 3
As an end user,
I want to receive push notifications on my mobile device,
So that I get timely alerts about important events.
Acceptance Criteria (starters):
- Integration with push provider (FCM for Android, APNs for iOS)
- Device token registration and storage
- Handles expired/invalid tokens gracefully
- Supports rich notifications (title, body, icon, deep links)
- Badge count management for unread notifications
- Silent push for background data sync (if needed)
- [Add more based on platform-specific features]
Technical Notes:
- Use unified push service (Firebase Cloud Messaging or OneSignal)
- Handle token refresh on client side
- Test notification priority levels
- Consider notification grouping for multiple alerts
INVEST Check: All criteria met
Story 6: In-App Notification Feed [Core]
Estimated Size: 2 days
Priority: MUST HAVE
Dependencies: Stories 2 + 3
As an end user or admin,
I want to view a notification feed in the application,
So that I can review past alerts and take action.
Acceptance Criteria (starters):
- Notification feed UI with unread indicator
- Paginated list of notifications (newest first)
- Mark as read/unread functionality
- Delete/dismiss notifications
- Deep linking to relevant pages (e.g., “New invoice” → invoice page)
- Real-time updates when new notifications arrive (WebSocket/polling)
- [Add more based on filtering requirements]
Technical Notes:
- Real-time updates via WebSocket or Server-Sent Events
- Fallback to polling if WebSocket unavailable
- Optimistic UI updates for better UX
- Consider notification persistence (how long to keep)
INVEST Check: All criteria met
Story 7: User Notification Preferences UI [Core]
Estimated Size: 2 days
Priority: MUST HAVE
Dependencies: Stories 2 + 4 + 5 + 6 (requires channels implemented)
As an end user or admin,
I want to configure which notifications I receive and how,
So that I only get alerts relevant to me.
Acceptance Criteria (starters):
- Settings page with notification categories (account, billing, updates, system)
- Toggle for each channel per category (email, push, in-app)
- Email frequency options (immediately, daily digest, weekly digest)
- Global “pause all notifications” option with duration
- Save preferences with immediate effect
- Clear explanation of each notification type
- [Add more based on granularity requirements]
Technical Notes:
- Admin users may have additional notification categories
- Consider smart defaults (important alerts enabled by default)
- Validate at least one channel enabled for critical alerts
- Store preferences in
notification_preferencestable
INVEST Check: All criteria met
Story 8: Admin-Specific Notifications [Core]
Estimated Size: 2 days
Priority: MUST HAVE
Dependencies: Stories 2-7 (requires full foundation)
As an admin,
I want to receive notifications about system events (new users, errors, usage spikes),
So that I can monitor and respond to issues quickly.
Acceptance Criteria (starters):
- Admin notification categories: user_activity, system_health, security, billing
- System event triggers (e.g., error rate > threshold)
- Configurable alert thresholds in admin settings
- Escalation rules (e.g., SMS for critical alerts)
- Admin-only notification feed with filtering
- Aggregate notifications to prevent alert fatigue
- [Add more based on monitoring needs]
Technical Notes:
- Integrate with monitoring tools (Sentry, Datadog)
- Consider PagerDuty/Opsgenie for on-call escalation
- Rate limiting to prevent notification storms
- Allow admins to delegate notification subscriptions
INVEST Check: All criteria met
Story 9: Notification Templates & Content Management [Enhancement]
Estimated Size: 2 days
Priority: SHOULD HAVE
Dependencies: Stories 4 + 5 + 6
As a product manager,
I want to edit notification content without code changes,
So that we can iterate on messaging quickly.
Acceptance Criteria (starters):
- Admin UI for managing notification templates
- Template editor with variable placeholders ({{user_name}}, {{action}})
- Preview notification in all channels before publishing
- Version history for templates with rollback
- A/B testing support for notification content
- Multi-language support (if applicable)
- [Add more based on content workflow]
Technical Notes:
- Store templates in database with versioning
- Template syntax validation to prevent errors
- Cache compiled templates for performance
- Consider approval workflow for template changes
INVEST Check: All criteria met
Note: Can be deferred to v2 if timeline pressure
Story 10: Notification Analytics Dashboard [Enhancement]
Estimated Size: 2 days
Priority: SHOULD HAVE
Dependencies: Stories 2-8 (requires delivery tracking data)
As a product manager,
I want to view notification metrics (sent, delivered, opened, clicked),
So that I can optimize notification strategy.
Acceptance Criteria (starters):
- Dashboard shows metrics per channel (email, push, in-app)
- Breakdown by notification category and user segment
- Delivery success rate and failure reasons
- Engagement metrics (open rate, click-through rate)
- Opt-out/unsubscribe trends over time
- Export data to CSV for deeper analysis
- [Add more based on reporting needs]
Technical Notes:
- Aggregate metrics via scheduled job (daily rollup)
- Consider data retention policy for raw events
- Use charting library (Chart.js, Recharts)
- Cache dashboard queries for performance
INVEST Check: All criteria met
Note: Can be deferred to v2 if timeline pressure
Story 11: Notification Rate Limiting & Spam Prevention [Enhancement]
Estimated Size: 2 days
Priority: SHOULD HAVE
Dependencies: Story 3 (requires notification service)
As a user,
I want protection from notification spam,
So that I’m not overwhelmed by excessive alerts.
Acceptance Criteria (starters):
- Rate limits per channel (e.g., max 10 emails/hour per user)
- Notification deduplication (don’t send identical alerts twice)
- Smart batching for similar notifications (e.g., “3 new comments”)
- Global cool-down period after user dismisses notification
- Admin tools to monitor and adjust rate limits
- Override for critical/urgent notifications
- [Add more based on abuse scenarios]
Technical Notes:
- Use Redis or similar for rate limit counters
- Fingerprint notifications for deduplication
- Consider user behavior (adjust limits for power users)
- Log rate limit violations for abuse detection
INVEST Check: All criteria met
Note: Can be deferred to v2 if timeline pressure
Implementation Strategy
Phase 1: Investigation & Foundation (Days 1-6)
- Day 1: Story 1 (investigation) - 1 day
- Days 2-3: Story 2 (data models) - 2 days
- Days 4-6: Story 3 (notification service) - 3 days
- Enables: Core architecture ready for channel implementations
Phase 2: Channel Implementations (Days 7-12)
- Days 7-9: Story 4 (email) - 3 days
- Days 10-11: Story 5 (push) - 2 days (can overlap with email)
- Days 10-11: Story 6 (in-app feed) - 2 days (can overlap with push)
- Parallelization: Stories 5 + 6 with 2 developers → 2 days instead of 4
- Enables: All notification channels functional
Phase 3: User Experience (Days 13-18)
- Days 13-14: Story 7 (preferences UI) - 2 days
- Days 15-16: Story 8 (admin notifications) - 2 days
- Days 17-18: Story 11 (rate limiting) - 2 days
- Enables: MVP shippable (core notification system complete)
Phase 4: Enhancements (Days 19-22)
- Days 19-20: Story 9 (template management) - 2 days
- Days 21-22: Story 10 (analytics) - 2 days
- Parallelization: Stories 9 + 10 with 2 developers → 2 days instead of 4
- Enables: Full-featured notification system
MVP Definition: Stories 1-8 + 11 = Core notification system (18 days)
Full Feature: All 11 stories (22 days)
Parallelization Opportunities:
- Phase 2: Stories 5 + 6 with 2 developers → 2 days savings
- Phase 4: Stories 9 + 10 with 2 developers → 2 days savings
- Best case with strategic parallelization: ~16 days total
Risk Mitigation
Technical Risks:
- Email deliverability issues → Complete Story 1 thoroughly; choose provider with strong reputation management
- Push token management complexity → Use established SDK (Firebase, OneSignal) rather than direct APNs/FCM
- Real-time notification delays → Implement fallback to polling if WebSocket fails; consider Server-Sent Events
- Database performance under load → Add indexes early (Story 2); consider read replicas for notification feed queries
- Third-party provider outages → Implement circuit breakers and fallback providers for critical notifications
- Notification spam and abuse → Prioritize Story 11 (rate limiting) in MVP if abuse is likely
Scope Risks:
- Email template variety could explode → Start with 3-5 core templates, add more later
- Admin notification requirements unclear → Story 8 may expand once admins see possibilities; timebox to 2 days
- Multi-language support → Not included in current scope; add as separate story if needed
- SMS channel requests → Not included; can add as Story 12 following same pattern as email/push
- Analytics requirements grow → Story 10 focused on basic metrics; advanced analytics as separate feature
User Experience Risks:
- Notification fatigue → Prioritize Story 11 (rate limiting) and smart defaults in Story 7
- Poor email rendering → Test across email clients early (Story 4)
- Mobile push permission denial → Implement graceful degradation to email/in-app
Recommendation: Build Stories 1-8 first (MVP), validate with end users and admins, then prioritize Stories 9-11 based on feedback.
Definition of Done
Each story is complete when:
- Code reviewed and merged to main branch
- Unit tests written and passing (>80% coverage for core service)
- Integration tests cover happy path + error scenarios
- Manual QA completed across affected channels
- Database migrations tested (up and down)
- Documentation updated (API docs, user guides, admin docs)
- Performance tested under expected load (e.g., 1000 notifications/minute)
- Security review passed (especially for email links, unsubscribe)
- Monitoring/alerting configured (error rates, delivery failures)
- Stakeholder demo completed and approved
Cross-Cutting Concerns
Security Considerations:
- Sanitize user data in notification content (prevent XSS in in-app notifications)
- Validate email addresses before sending (prevent abuse)
- Implement signed unsubscribe tokens (prevent unauthorized opt-outs)
- Rate limit notification API endpoints (prevent spam)
- Encrypt sensitive data in notification payloads
- Audit log for admin actions (template changes, preference overrides)
Compliance Considerations:
- CAN-SPAM Act: Unsubscribe link in all marketing emails
- GDPR: Allow users to export notification history; delete on account deletion
- CCPA: Provide notification data in data export requests
- Consider adding consent checkboxes during signup for marketing notifications
Scalability Considerations:
- Background job queue for async processing (critical for performance)
- Database indexing on frequently queried fields
- Caching for user preferences (reduce DB load)
- Consider notification archive strategy (move old notifications to cold storage)
- Monitor queue depth and processing lag
Observability:
- Log all notification events (created, sent, delivered, failed, opened)
- Metrics: notification volume, delivery success rate, processing latency
- Alerts: queue backup, high failure rate, provider errors
- Distributed tracing for debugging delivery issues
About This Skill
Break down large features into right-sized user stories (1-3 days each) following INVEST criteria with clear dependencies and acceptance criteria.
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