Yappa Knowledge Hub - Consolidated Product Requirements Document

Version: 4.0 (Consolidated) Date: 2026-02-20 Status: Sprint 0 Complete | MVP Planning Phase Owner: Yappa Internship Project

Executive Summary

The Yappa Knowledge Hub is an internal knowledge management system that enables Yappa employees to capture, organize, and distribute knowledge through Slack, with AI-powered summaries and automated digests. The system uses Notion as the single source of truth, Symfony as the processing layer, and Slack as the primary user interface.

Sprint 0 (POC) Achievement: Successfully demonstrated end-to-end integration between Slack, Symfony, and Notion with 19 knowledge items stored across 10 categories. The system validates the technical approach and is ready for team review before merging to main branch.

MVP Path: Requires 80-100 additional tickets (400-500 story points) to reach production-ready status with AI summaries, digest automation, and production infrastructure.

1. Product Vision

What is Yappa Knowledge Hub

A central system that makes internal knowledge:

Easy to capture - Low friction submission via Slack
Smartly processed - AI summaries tailored per target audience
Actively distributed - Periodic digests by thematic list and target group
Centrally accessible - Notion as single source of truth with web UI

Target Users

Contributors (Yappa employees): Submit content, select lists, target groups, and tags
List Owners/Admins: Create/edit lists, configure digest schedules, manage prompts
Digest Recipients: Receive scheduled digests via Slack DM/channel

Target Groups (Audience Segments)

Semantic roles used for tone and content focus:

Developers
Marketers
CEO/Leadership
Service Desk
Sales
Operations

Core Value Proposition

Problem: Internal knowledge at Yappa is scattered across Slack messages, emails, notes, and announcements. Information is shared "in the moment" but becomes hard to find, contextualize, and distribute.

Solution: A Slack-first knowledge hub that captures information with minimal friction, processes it with AI for different audiences, and distributes it through automated digests.

2. Sprint 0 (POC) Achievements

What Was Built (Honest Assessment)

Completion Date: 2026-02-16 Status: Functional prototype validating technical approach

Working Infrastructure

Slack bot connected via Socket Mode (Node.js + @slack/bolt)
Symfony 7.2 backend with REST API (PHP 8.2)
Notion databases (3) created and accessible
Basic CRUD operations for knowledge and categories
Sub-second SlackNotion sync (< 1 second)
Cron-based NotionSlack sync (2 minutes)
Dutch UI strings (basic localization)
19 knowledge items successfully stored
10 categories with icons and descriptions

Slack Bot Features

Message shortcuts ("Save to Knowledge Hub")
Global shortcuts ("Quick Add Knowledge")
Slash command /knowledge with subcommands (add, search, dashboard, help)
Modal forms for knowledge submission
App Home tab with stats and category browser
URL detection with basic metadata scraping
File share detection (detection only, no processing)
Emoji reaction trigger (basic implementation)
Dutch confirmation messages

Symfony Backend

REST API endpoints for Knowledge and Categories
NotionClient with basic retry logic
NotionKnowledgeService for CRUD operations
NotionCategoryService for category management
NotionPropertyMapper for data conversion
NotionSyncService for bidirectional sync
Basic error handling and logging

Notion Integration

Knowledge Database (ID: 306e292a15d58004a8cbc222dcd48bb2)
Categories Database (ID: 306e292a15d5805dae13e64bed8519c5)
Digests Database (ID: 306e292a15d580d7a0f6fe8421baff10)
Manual sync endpoint operational
Direct web access for manual editing

What Was NOT Built

Missing Core Features:

AI summary generation (stub only, no OpenAI integration)
Digest scheduling and delivery (mock formatter only)
Real-time webhook sync (uses 2-minute polling)
Persistent state management (in-memory tracking lost on restart)
Production infrastructure (no queues, retry logic, monitoring)
User authentication and permissions
Analytics and reporting
Web dashboard
Advanced search and filtering

Missing Extra Storys:

Proper URL extraction (basic scraping only)
PDF upload support (detection only)
Tag normalization and autocomplete
URL validation and sanitization
List suggestions and multi-list assignment
Rate limiting for APIs
Queue system for async processing
Health monitoring endpoints

30 Tickets Completed

The Sprint 0 work represents approximately 30 completed tickets covering:

Slack bot foundation (8 tickets)
Symfony backend setup (6 tickets)
Notion integration (5 tickets)
Basic CRUD operations (6 tickets)
Sync system (3 tickets)
Dutch localization (2 tickets)

Total Story Points Completed: ~150 SP

Architecture Decisions Made

Notion as Primary Database: All data stored in Notion databases, no local database required
Slack-First UX: Primary interface through Slack bot, web dashboard secondary
Symfony REST API: Backend processing layer between Slack and Notion
Socket Mode for Development: Simple connection model for POC, HTTP mode for production
Dutch Localization: All user-facing strings in Dutch
Target Group Model: Audience-based content tailoring for summaries and digests

3. Sprint 0 Status

Completed Features

Ready for Main Branch Merge:

Slack bot with multiple interaction patterns (shortcuts, commands, modals)
Functional Symfony REST API with Notion integration
Bidirectional sync (SlackNotion instant, NotionSlack 2-min polling)
19 knowledge items successfully stored
10 categories with icons and descriptions
Dutch localization for user-facing strings
Basic URL detection and metadata scraping

Technical Quality:

Code follows Symfony and Node.js best practices
Basic error handling implemented
Logging configured
Documentation complete
All systems operational

Pending Team Review

Before Merging to Main:

Code review by senior developers
Security review of API endpoints
Dutch translation review by native speaker
UX review of Slack modals
Performance testing with concurrent users
Decision on production deployment strategy

Known Limitations

Technical Debt:

In-memory view tracking (lost on restart)
No rate limiting (API quota risk)
No retry logic (failed requests lost)
Socket Mode only (not production-ready)
Basic error handling (needs enhancement)
Cron-based sync (not real-time)

Scope Limitations:

Single category per knowledge item
Hardcoded target groups (6 groups)
No AI functionality
No digest system
No user management
No analytics

4. Product Roadmap

Sprint 1-2: Infrastructure Hardening (Weeks 1-4)

Objective: Make POC production-ready

Deliverables:

Redis integration for persistent state
Queue system (Symfony Messenger)
Retry logic with exponential backoff
Rate limiting for Notion API
Health check endpoints
Structured logging with context

Story Points: 80 SP Priority: Critical (P0)

Acceptance Criteria:

System survives restart without data loss
Failed operations retry automatically
API rate limits respected
Health endpoint returns 200 OK
Logs include request IDs and context

Sprint 3-4: Content Ingestion Extra Story (Weeks 3-6)

Objective: Improve content capture quality

Deliverables:

Full URL extraction service
Tag normalization and autocomplete
Enhanced emoji reaction processing
URL validation and sanitization
Multi-list assignment support

Story Points: 92 SP Priority: High (P1)

Acceptance Criteria:

URLs extract full article content
Tags suggest existing options
Invalid URLs rejected with clear errors
Knowledge items can belong to multiple lists

Sprint 5-6: AI Integration (Weeks 5-9)

Objective: Enable AI-powered summaries

Deliverables:

OpenAI API integration
Target-group-specific prompt templates
Async summary generation
Summary regeneration UI
Token usage tracking

Story Points: 99 SP Priority: Critical (P0)

Acceptance Criteria:

Summaries generated within 30 seconds
Each target group gets unique summary
Users can regenerate summaries
Token costs tracked per summary

Sprint 7-8: Digest Automation (Weeks 8-11)

Objective: Automated knowledge distribution

Deliverables:

Digest scheduling per category
Digest generation with summaries
Slack channel/DM delivery
Digest history in Notion

Story Points: 68 SP Priority: Critical (P0)

Acceptance Criteria:

Digests sent on schedule (weekly/biweekly/monthly)
Digests include AI summaries
Delivery success rate > 99%
Users can view digest history

Sprint 9-10: Search & Discovery (Weeks 10-13)

Objective: Improve discoverability

Deliverables:

Advanced search with filters
Date range filtering
Tag-based filtering
Status filtering
Search result pagination

Story Points: 87 SP Priority: High (P1)

Acceptance Criteria:

Search returns relevant results
Filters work correctly
Results paginate properly
Search performance < 500ms

Sprint 11-12: User Management (Weeks 12-15)

Objective: Add access control

Deliverables:

Role-based permissions
User preferences
Admin interface
Permission system

Story Points: 95 SP Priority: Medium (P2)

Acceptance Criteria:

Users have roles (admin, contributor, viewer)
Permissions enforced on all endpoints
Users can set preferences
Admins can manage users

5. Backlog

Extra Story Tickets (201 Total)

Created Tickets:

Batch 1 Part 1: Content Ingestion Foundation (US-100 to US-115)
Batch 1 Part 2: Content Submission Features (US-116 to US-130)
Batch 3: AI Summaries (US-166 to US-200)

Pending Tickets:

Batch 2: Lists & Categories (US-131 to US-165)
Batch 4: Digest & Infrastructure (US-201 to US-235)
Batch 5: Search & User Management (US-236 to US-280)
Batch 6: Advanced & Analytics (US-281 to US-320)

Total Extra Story Scope: Tracked dynamically in Jira workflow dashboard.

Priority Ordering

Tier 1: Foundation (Must Have) - 35 tickets | 180 SP

Infrastructure hardening (Redis, queues, retry, rate limiting, health checks)
Content ingestion extra storys (URL extraction, tag normalization, validation)
Category management extra storys (list suggestions, multi-list, filtering)

Tier 2: Core Features (High Priority) - 45 tickets | 220 SP

AI summaries (OpenAI integration, target-group prompts, regeneration)
Digest system (scheduling, generation, Slack delivery)
Search & discovery (advanced search, filtering)

Tier 3: Polish (Nice to Have) - 20 tickets | 100 SP

User management (role-based permissions, preferences)
Analytics (usage tracking, dashboard)

Story Point Estimates

By Epic:

Epic 1: Content Ingestion - 92 SP
Epic 2: Lists & Categories - 81 SP
Epic 3: AI Summaries - 99 SP
Epic 4: Digest System - 68 SP
Epic 5: Infrastructure - 83 SP
Epic 6: Notion Sync - 47 SP
Epic 7: Search & Discovery - 87 SP
Epic 8: User Management - 95 SP
Epic 9: Analytics - 60 SP
Epic 10: Web Dashboard - 71 SP

Total: 783 SP

By Priority:

Critical (P0): 234 SP (29.9%)
High (P1): 163 SP (20.8%)
Medium (P2): 186 SP (23.8%)
Low (P3): 200 SP (25.5%)

6. Technical Requirements

Architecture


  Slack Bot     Symfony       Notion
  (Node.js)     Backend      Databases




                      OpenAI API
                      (Summaries)




                        Redis
                     (Cache/State)

Technology Stack

Input Layer:

Slack Bot (Node.js 18+, @slack/bolt framework)
Socket Mode (development) / HTTP Mode (production)

Processing Layer:

Symfony 7.2 (PHP 8.2)
Doctrine ORM
Symfony Messenger (queues)

Storage Layer:

Notion Databases (primary storage)
Redis (cache and state management)
SQLite (local development backup)

AI Layer:

OpenAI GPT-4 (target-group-specific summaries)
Configurable AI provider interface

Infrastructure:

Redis 7+ (caching, view tracking, session management)
Symfony Messenger (async job processing)
Monolog (structured logging)

Infrastructure Needs

Development Environment:

Node.js 18+
PHP 8.2+
Composer
npm/yarn
Redis (optional for POC)

Production Environment:

VPS or cloud hosting (AWS/DigitalOcean/Hetzner)
Redis instance (persistent)
Process manager (PM2 for Node.js, Supervisor for Symfony)
Reverse proxy (nginx/Apache)
SSL certificates
Monitoring (Prometheus/Grafana recommended)

External Services:

Slack workspace with bot app installed
Notion workspace with API access
OpenAI API account (for MVP)
Domain name and DNS configuration

API Endpoints

Knowledge Management:

POST   /api/knowledge              Create knowledge item
GET    /api/knowledge              List knowledge items
GET    /api/knowledge/{id}         Get single item
PUT    /api/knowledge/{id}         Update item
DELETE /api/knowledge/{id}         Delete item
POST   /api/knowledge/search       Search knowledge

Category Management:

POST   /api/categories             Create category
GET    /api/categories             List categories
GET    /api/categories/{id}        Get category
PUT    /api/categories/{id}        Update category
DELETE /api/categories/{id}        Delete category

Sync Operations:

POST   /api/notion/sync/bidirectional      Full bidirectional sync
POST   /api/notion/sync/from-notion        Sync from Notion to local
POST   /api/notion/sync/categories         Sync categories
GET    /api/notion/sync/status             Check sync status
POST   /api/webhooks/notion                Notion webhook endpoint

Digest Operations (Planned):

POST   /api/digests/generate       Generate digest report
GET    /api/digests                List digests
GET    /api/digests/{id}           Get digest
POST   /api/digests/{id}/send      Send digest to Slack

Database Schema (Notion)

Knowledge Database (306e292a15d58004a8cbc222dcd48bb2):

Title (title) - required
Content (rich_text) - required, up to 2000 chars
Status (status) - Draft / Review / Published / Archived
Tags (multi_select)
Categories (relation) - link to Categories DB
Priority (select) - High / Medium / Low
Target Groups (multi_select) - audience segments
Source Type (select) - Slack Message / Manual / File / URL
Source URL (url)
Author (people)
AI Summary (rich_text) - generated per target group
Slack User ID, Message TS, Channel ID (rich_text)
View Count (number)
Last Reviewed (date)
Attachments (files)
Created, Last Edited (auto)

Categories Database (306e292a15d5805dae13e64bed8519c5):

Name (title) - required
Description (rich_text)
Icon (rich_text) - emoji
Default Target Groups (multi_select)
Subscribers (people)
Digest Frequency (select) - Daily / Weekly / Bi-weekly / Monthly
Digest Day (select)
Active (checkbox)
Knowledge Count (rollup) - auto
Last Digest (date)
Created (auto)

Digests Database (306e292a15d580d7a0f6fe8421baff10):

Title (title) - required
Category (relation) - link to Categories DB
Period Start, Period End (date)
Items Count (number)
Target Groups (multi_select)
Generated By (people)
Status (status) - Generating / Sent / Failed
Slack Sent (checkbox)
Recipients (rich_text) - Slack user IDs
Generated At (auto)

Performance Targets

Current Performance (POC):

Slack modal response time: ~200ms (target < 500ms)
Notion API sync latency: ~800ms (target < 2s)
Sync completion time: ~15s for 19 items (target < 30s)

MVP Performance Targets:

End-to-end submission latency: < 3s (Slack submit Notion confirmation)
Notion webhook processing: < 5s (Notion change Slack home updated)
View refresh latency: < 2s (Sync triggered Modal updated)
Concurrent view tracking: 100+ views
Sync reliability: 99.9% (successful syncs / total attempts)
API response time (p95): < 500ms

Security Requirements

Slack signature verification (handled by Bolt framework)
Notion API key stored in environment variables
Internal API keys for service-to-service communication
Least-privilege Slack scopes
HTTPS for all external communication
Input validation and sanitization
Rate limiting on all endpoints
SSRF protection for URL scraping

Cost Controls

Rate limiting for LLM API calls
Per-summary token tracking
Notion API request monitoring
Configurable summary length limits
Caching to reduce API calls

7. Success Metrics

User Adoption Metrics

Metric	Target	Measurement Method
Active users (weekly)	20+	Unique Slack user IDs submitting knowledge
Knowledge items submitted	100+	Count in Notion database
Active categories	5+	Categories with items added in last 30 days
Digest subscribers	30+	Users receiving digests
Digest open rate	60%+	Slack message read receipts

Performance Metrics

Metric	Target	Measurement Method
Submission latency	< 3s	Slack submit Notion confirmation
AI summary generation	< 30s	Async job completion time
Digest delivery success	99%+	Successful deliveries / Total attempts
API response time (p95)	< 500ms	Symfony monitoring
Sync reliability	99.9%+	Successful syncs / Total sync attempts

Quality Metrics

Metric	Target	Measurement Method
Error rate	< 1%	Failed requests / Total requests
User-reported bugs	< 5/week	Slack feedback channel
AI summary quality	4+/5	User ratings
Tag consistency	80%+	Normalized tags / Total tags

Business Metrics

Metric	Target	Measurement Method
Time saved per week	2+ hours	User survey
Knowledge reuse rate	30%+	Items viewed > 1 time
Cross-team sharing	50%+	Items with multiple target groups
Digest engagement	60%+	Users clicking digest links

8. Risks & Mitigations

Technical Risks

Risk	Impact	Mitigation	Priority
Notion API downtime	High	SQLite backup, queue + retries	P0
OpenAI API downtime	High	Allow ingestion without immediate summary	P0
Slack rate limits	Medium	Request throttling, caching	P1
Redis single point of failure	High	Document recovery procedures	P1
Concurrent user race conditions	Medium	Load testing before Phase 3	P1

Product Risks

Risk	Impact	Mitigation	Priority
Low user adoption	High	User onboarding, training sessions	P0
Poor AI summary quality	High	Editable templates, regenerate support	P0
Scope creep (PDF/audio/video)	Medium	Strict phase gates, defer to post-MVP	P1
Tag taxonomy inconsistency	Medium	Tag normalization, autocomplete	P1
Dutch translation quality	Low	Native speaker review	P2

Cost Risks

Risk	Impact	Mitigation	Priority
OpenAI API costs	High	Token logging, rate limits, length constraints	P0
Notion API quota	Medium	Caching, batch operations	P1
Infrastructure costs	Low	Start small, scale as needed	P2

9. Next Steps

Immediate Actions (Week 1)

Team Review of Sprint 0 Work
- Code review by senior developers
- Security review of API endpoints
- Dutch translation review
- UX review of Slack modals
Merge to Main Branch
- Create pull request with Sprint 0 work
- Address review feedback
- Merge to main branch
- Tag release as v0.1.0-poc
Create Remaining Extra Story Tickets
- Batch 2: Lists & Categories (35 tickets)
- Batch 4: Digest & Infrastructure (35 tickets)
- Batch 5: Search & User Management (35 tickets)
- Batch 6: Advanced & Analytics (30 tickets)

Short-Term Actions (Weeks 2-4)

Begin Sprint 1: Infrastructure Hardening
- Set up Redis for persistent state
- Implement queue system with Symfony Messenger
- Add retry logic with exponential backoff
- Implement rate limiting
- Add health check endpoints
Prepare for AI Integration
- Set up OpenAI account
- Design prompt templates for each target group
- Create AI service architecture
- Plan token usage tracking
Production Deployment Planning
- Select hosting provider
- Plan infrastructure setup
- Configure CI/CD pipeline
- Set up monitoring and alerting

Medium-Term Actions (Weeks 5-10)

Implement Core Features
- AI summary generation
- Digest scheduling and delivery
- Advanced search and filtering
Add Production Infrastructure
- Monitoring and logging
- Error tracking (Sentry)
- Performance optimization
- Load testing
User Testing
- Internal beta testing
- Gather feedback
- Iterate on UX
- Refine AI prompts

Appendix A: File References

Documentation Sources

/IMPLEMENTATION_GUIDE.md
/project/PRD.md
/project/PRD_UPDATED.md
/project/backlog.md
/project/roadmap.md
/Architecture.md

POC Status Files

/home/ubuntu/yappa-knowledge-hub/var/backup-md/POC_COMPLETE.md
/home/ubuntu/yappa-knowledge-hub/var/backup-md/POC_FINAL_STATUS.md
/home/ubuntu/POC_COMPLETION_VERIFICATION.md

Jira Extra Story Files

/home/ubuntu/jira_extra story_tickets_summary.md
/home/ubuntu/jira_extra story_batch1_part1.md
/home/ubuntu/jira_extra story_batch1_part2.md
/home/ubuntu/jira_extra story_batch3.md
/home/ubuntu/EXTRA STORY_TICKETS.md

Feature Analysis Files

/home/ubuntu/FEATURE_COMPARISON_MATRIX.md
/home/ubuntu/COMPLETE_PROJECT_STATUS.md

Appendix B: Configuration

Backend Environment (`backend/.env`)

bash

# Notion API
NOTION_API_KEY=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
NOTION_VERSION=2022-06-28

# Database IDs
NOTION_DATABASE_KNOWLEDGE=306e292a15d58004a8cbc222dcd48bb2
NOTION_DATABASE_CATEGORIES=306e292a15d5805dae13e64bed8519c5
NOTION_DATABASE_DIGESTS=306e292a15d580d7a0f6fe8421baff10

# OpenAI (for MVP)
OPENAI_API_KEY=sk-...

# Redis (for MVP)
REDIS_DNS=redis://localhost:6379
REDIS_URL=redis://localhost:6379

# Notion Webhook (for MVP)
NOTION_WEBHOOK_SECRET=your_webhook_secret_here
NOTION_WEBHOOK_URL=https://your-domain.com/api/webhooks/notion

# Slack Bot Integration
SLACK_BOT_URL=http://localhost:3000

Slack Bot Environment (`.env`)

bash

SLACK_BOT_TOKEN=xoxb-...
SLACK_SIGNING_SECRET=...
SLACK_APP_TOKEN=xapp-...
API_BASE_URL=http://localhost:8000
PORT=3000

# Redis (for view tracking)
REDIS_URL=redis://localhost:6379

Notion URLs

Knowledge DB: https://notion.so/306e292a15d58004a8cbc222dcd48bb2
Categories DB: https://notion.so/306e292a15d5805dae13e64bed8519c5
Digests DB: https://notion.so/306e292a15d580d7a0f6fe8421baff10

Appendix C: Glossary

Thematic List (Category): A curated stream of resources designed for a specific purpose and audience context. Each list has a name, description, icon, default tags, and digest schedule.

Resource (Knowledge Item): A single knowledge item submitted by a user, including title, content, metadata, tags, and AI summaries.

Target Group: A role-based audience segment that shapes summarization (e.g., Developers, Marketers, CEO).

Digest: A periodic report generated per list and tailored per target group, delivered via Slack.

Sprint 0 (POC): Proof of Concept phase validating the technical approach with basic functionality.

MVP: Minimum Viable Product with AI summaries, digest automation, and production infrastructure.

Story Points (SP): Relative measure of effort required to complete a ticket (Fibonacci scale: 1, 2, 3, 5, 8, 13, 21).

Document Version: 4.0 (Consolidated) Last Updated: 2026-02-20 Next Review: After Sprint 1 completion

Yappa Knowledge Hub - Consolidated Product Requirements Document ​

Executive Summary ​

1. Product Vision ​

What is Yappa Knowledge Hub ​

Target Users ​

Target Groups (Audience Segments) ​

Core Value Proposition ​

2. Sprint 0 (POC) Achievements ​

What Was Built (Honest Assessment) ​

Working Infrastructure ​

Slack Bot Features ​

Symfony Backend ​

Notion Integration ​

What Was NOT Built ​

30 Tickets Completed ​

Architecture Decisions Made ​

3. Sprint 0 Status ​

Completed Features ​

Pending Team Review ​

Known Limitations ​

4. Product Roadmap ​

Sprint 1-2: Infrastructure Hardening (Weeks 1-4) ​

Sprint 3-4: Content Ingestion Extra Story (Weeks 3-6) ​

Sprint 5-6: AI Integration (Weeks 5-9) ​

Sprint 7-8: Digest Automation (Weeks 8-11) ​

Sprint 9-10: Search & Discovery (Weeks 10-13) ​

Sprint 11-12: User Management (Weeks 12-15) ​

5. Backlog ​

Extra Story Tickets (201 Total) ​

Priority Ordering ​

Story Point Estimates ​

6. Technical Requirements ​

Architecture ​

Technology Stack ​

Infrastructure Needs ​

API Endpoints ​

Database Schema (Notion) ​

Performance Targets ​

Security Requirements ​

Cost Controls ​

7. Success Metrics ​

User Adoption Metrics ​

Performance Metrics ​

Quality Metrics ​

Business Metrics ​

8. Risks & Mitigations ​

Technical Risks ​

Product Risks ​

Cost Risks ​

9. Next Steps ​

Immediate Actions (Week 1) ​

Short-Term Actions (Weeks 2-4) ​

Medium-Term Actions (Weeks 5-10) ​

Appendix A: File References ​

Documentation Sources ​

POC Status Files ​

Jira Extra Story Files ​

Feature Analysis Files ​

Appendix B: Configuration ​

Backend Environment (backend/.env) ​

Slack Bot Environment (.env) ​

Notion URLs ​

Appendix C: Glossary ​

Yappa Knowledge Hub - Consolidated Product Requirements Document

Executive Summary

1. Product Vision

What is Yappa Knowledge Hub

Target Users

Target Groups (Audience Segments)

Core Value Proposition

2. Sprint 0 (POC) Achievements

What Was Built (Honest Assessment)

Working Infrastructure

Slack Bot Features

Symfony Backend

Notion Integration

What Was NOT Built

30 Tickets Completed

Architecture Decisions Made

3. Sprint 0 Status

Completed Features

Pending Team Review

Known Limitations

4. Product Roadmap

Sprint 1-2: Infrastructure Hardening (Weeks 1-4)

Sprint 3-4: Content Ingestion Extra Story (Weeks 3-6)

Sprint 5-6: AI Integration (Weeks 5-9)

Sprint 7-8: Digest Automation (Weeks 8-11)

Sprint 9-10: Search & Discovery (Weeks 10-13)

Sprint 11-12: User Management (Weeks 12-15)

5. Backlog

Extra Story Tickets (201 Total)

Priority Ordering

Story Point Estimates

6. Technical Requirements

Architecture

Technology Stack

Infrastructure Needs

API Endpoints

Database Schema (Notion)

Performance Targets

Security Requirements

Cost Controls

7. Success Metrics

User Adoption Metrics

Performance Metrics

Quality Metrics

Business Metrics

8. Risks & Mitigations

Technical Risks

Product Risks

Cost Risks

9. Next Steps

Immediate Actions (Week 1)

Short-Term Actions (Weeks 2-4)

Medium-Term Actions (Weeks 5-10)

Appendix A: File References

Documentation Sources

POC Status Files

Jira Extra Story Files

Feature Analysis Files

Appendix B: Configuration

Backend Environment (`backend/.env`)

Slack Bot Environment (`.env`)

Notion URLs

Appendix C: Glossary