Feel free to edit any section, add more detail, or let me know if you’d like a deeper dive into any area (e.g., UI mock‑ups, API contracts, etc.).
1. Feature Summary | Item | Details | |------|---------| | Feature ID | SONE‑071 | | Title | “Smart Notification Scheduler” | | Epic / Parent | SONE‑001 (User Engagement Suite) | | Owner | Product Manager – Jane Doe | | Target Release | Q3‑2026 (v2.4) | | Stakeholders | Front‑end, Back‑end, Data Engineering, UX, QA, Customer Success | One‑sentence description Allow users to create, edit, and schedule context‑aware notifications (email, push, in‑app) that are automatically throttled and personalized based on user behavior and time‑zone.
2. Problem Statement / Motivation
Current limitation: Users can only send immediate, static notifications. No ability to schedule future deliveries, respect user time‑zones, or apply basic throttling. Impact: SONE-071
Missed engagement opportunities (e.g., reminders, onboarding steps). Higher unsubscribe / spam complaint rates because notifications are sent at inconvenient times. Manual work for marketers who have to build ad‑hoc scripts or use external tools.
Goal: Empower product & marketing teams to deliver the right message, to the right user, at the right time—without building custom pipelines.
3. High‑Level Objectives
Self‑service scheduling UI – create, edit, delete notification rules. Time‑zone aware delivery – calculate local delivery windows per user. Dynamic content tokens – inject user‑specific data (name, last login, plan). Throttling & rate‑limiting – prevent > X notifications per user per day/week. Audit trail & analytics – track creation, changes, and delivery outcomes.
4. User Stories (ordered by priority) | # | As a … | I want … | So that … | |---|--------|----------|-----------| | US‑01 | Product marketer | A “New Notification” wizard that asks for channel, audience filter, schedule (date‑time or recurring), and message template | I can launch a campaign without developer help | | US‑02 | Product marketer | Time‑zone aware scheduling (auto‑detect from user profile) | Recipients receive the message at a sensible local hour | | US‑03 | Product marketer | Dynamic token insertion ( {{first_name}} , {{plan_type}} , {{last_login}} ) | Messages feel personal, driving higher CTR | | US‑04 | Product marketer | Delivery throttling (max 3 per user per 24 h, 10 per week) | We avoid spamming and stay under compliance limits | | US‑05 | Customer Success | Audit log showing who created/modified a schedule, timestamps, and version diff | We can investigate any delivery issues or compliance queries | | US‑06 | Data Engineer | Metrics endpoint ( /notifications/metrics ) exposing sent, delivered, opened, click‑through counts per schedule | We can monitor campaign health in our dashboard | | US‑07 | QA Engineer | Test harness to simulate time‑zone based deliveries & throttling | Automated regression coverage |
5. Functional Requirements | FR # | Description | |------|-------------| | FR‑01 | Notification Scheduler Service – a new micro‑service ( notification-scheduler ) that stores schedule definitions and triggers delivery jobs. | | FR‑02 | CRUD API – POST /schedules , GET /schedules/:id , PUT /schedules/:id , DELETE /schedules/:id . All endpoints secured via OAuth2 scopes notification:write/read . | | FR‑03 | Schedule Model (MongoDB / PostgreSQL) – fields: id , name , channel (email/push/in‑app), audienceQuery (JSON), templateId , scheduleType (once/cron), runAt (UTC), timeZoneMode (user‑local / fixed), maxPerUserPerDay , maxPerUserPerWeek , createdBy , createdAt , updatedAt , version . | | FR‑04 | Template Service Integration – reuse existing template-service for rendering tokens. | | FR‑05 | Delivery Worker – background worker (Node/Go) that reads ready schedules, resolves audience, expands tokens, respects throttling, and calls the appropriate channel provider (SES, Firebase, internal in‑app). | | FR‑06 | Throttling Store – per‑user counter with TTL (Redis). Increment on each successful send; reset after 24 h or 7 d as per schedule config. | | FR‑07 | Audit Log – write to an append‑only notification_audit table (or event‑store). Include action , actorId , scheduleId , payloadDiff . | | FR‑08 | Metrics Exporter – Prometheus‑compatible metrics ( notifications_sent_total , notifications_failed_total , notifications_rate_limited_total ). | | FR‑09 | UI Components – React (or Angular) pages: Schedule List , Schedule Detail/Edit , Wizard Modal , Audit Timeline , Metrics Dashboard . | | FR‑10 | Access Control – Only users with role MARKETER or ADMIN can create/edit schedules. Read‑only for ANALYST . | | FR‑11 | Error Handling & Retries – exponential back‑off for transient provider errors (max 3 retries). Persist failures with reason. | | FR‑12 | Internationalization – templates may include i18n keys; scheduler must pass locale from user profile to template renderer. | Feel free to edit any section, add more
6. Non‑Functional Requirements | NFR # | Requirement | |-------|-------------| | NFR‑01 | Scalability – Scheduler must support up to 500k active schedules and 10 M deliveries per day . Use partitioned tables + sharded Redis for throttling counters. | | NFR‑02 | Availability – 99.9 % SLA for the Scheduler API (5 xx errors < 0.1 %). Deploy across two AZs. | | NFR‑03 | Latency – API response < 200 ms for CRUD ops; delivery worker latency < 5 s from scheduled time to provider call. | | NFR‑04 | Security – Data at rest encrypted (AES‑256); transport TLS 1.2+. Auditable actions stored immutably (WORM). | | NFR‑05 | Compliance – Support GDPR “right to be forgotten”: deleting a user must also purge any pending scheduled notifications for that user. | | NFR‑06 | Observability – Structured logs (JSON) with correlation IDs; tracing via OpenTelemetry. | | NFR‑07 | Testing – 80 % unit coverage, 70 % integration coverage, end‑to‑end UI tests with Cypress. | | NFR‑08 | Performance – Bulk audience resolution (≤ 10 k users per batch) must complete in < 2 s. |
7. Data Model (simplified) -- schedules table (PostgreSQL) CREATE TABLE notification_schedules ( id UUID PRIMARY KEY, name TEXT NOT NULL, channel TEXT NOT NULL CHECK (channel IN ('email','push','inapp')), audience_json JSONB NOT NULL, -- e.g., {"plan":"premium","lastLoginBefore":"2026-01-01"} template_id UUID NOT NULL, schedule_type TEXT NOT NULL CHECK (schedule_type IN ('once','cron')), run_at TIMESTAMP WITH TIME ZONE, -- for 'once' cron_expr TEXT, -- for 'cron' tz_mode TEXT NOT NULL CHECK (tz_mode IN ('user','fixed')), max_per_user_day INTEGER DEFAULT 3, max_per_user_week INTEGER DEFAULT 10, created_by UUID NOT NULL, created_at TIMESTAMPTZ DEFAULT now(), updated_at TIMESTAMPTZ DEFAULT now(), version INTEGER NOT NULL DEFAULT 1 );