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PRD: TaskFlow — AI-Powered Task Management
Overview
TaskFlow is a task management platform designed for distributed remote teams of 5-50 people. It integrates with Slack for seamless task creation and uses AI to automatically prioritize work based on urgency, impact, dependencies, and team capacity.
Target launch: Q2 2026 (MVP in 4 weeks)
Target users: Remote team leads and individual contributors
North star metric: Tasks completed on-time per team per week
Problem Statement
Remote teams waste 5+ hours per week on manual task triage. Existing tools require constant manual prioritization — leading to critical tasks falling through the cracks across timezones. When a team lead in NYC creates a high-priority task at 5pm, the developer in Berlin doesn't see it until morning, and by then priorities have shifted again.
Why now: Remote-first teams grew 340% since 2020. AI can now understand task context well enough to automate priority scoring that previously required a human PM.
Target Users
Primary: Remote Team Leads
- Managing 5-15 direct reports across 2+ timezones
- Spends 6+ hours/week triaging, re-prioritizing, and following up
- Currently uses Linear or Asana but manually sorts priorities daily
- Willing to pay $12-20/seat/month for time savings
Secondary: Individual Contributors
- Juggling 3+ concurrent projects with competing deadlines
- Loses context switching between Slack threads and task boards
- Wants a single view of "what should I work on right now?"
Goals & Success Metrics
| Metric | Target (Month 1) | Target (Month 6) |
|--------|------------------|------------------|
| Weekly active teams | 50 | 500 |
| Tasks created via Slack | 30% of all tasks | 60% |
| On-time task completion | +15% vs baseline | +30% |
| Daily digest open rate | 50% | 65% |
| NPS | 30+ | 50+ |
User Stories
Functional Requirements
P0 — Must Have (MVP)
P1 — Should Have
P2 — Nice to Have
Non-Functional Requirements
- **Performance:** Dashboard loads in <800ms on 3G. Task creation responds in <200ms.
- **Scalability:** Support 10,000 concurrent users. Slack webhook processing within 500ms.
- **Security:** SOC 2 Type II compliance by Month 6. All data encrypted at rest (AES-256) and in transit (TLS 1.3).
- **Availability:** 99.9% uptime SLA. Graceful degradation if AI service is down (fall back to manual priority).
- **Accessibility:** WCAG 2.1 AA compliance. Full keyboard navigation. Screen reader support.
Technical Considerations
Recommended Stack
- **Frontend:** Next.js 14 (App Router) + Tailwind CSS + shadcn/ui
- **Backend:** Next.js API Routes + tRPC for type-safe API layer
- **Database:** Supabase (Postgres + Auth + Realtime subscriptions)
- **AI:** Claude API for task parsing, priority scoring, and digest generation
- **Integrations:** Slack API (Events API + Web API + Socket Mode)
- **Queue:** Inngest for background jobs (digest generation, Slack sync)
- **Hosting:** Vercel (frontend) + Supabase (backend/db)
Database Schema (Core Tables)
- teams (id, name, slack_workspace_id, created_at)
- users (id, email, name, team_id, slack_user_id, timezone, role)
- tasks (id, title, description, assignee_id, creator_id, team_id, priority_score, status, due_date, created_from, parent_task_id)
- priority_logs (id, task_id, score, factors_json, computed_at)
- integrations (id, team_id, provider, access_token, config_json)
API Endpoints
- POST /api/tasks — Create task (accepts natural language or structured)
Refine with AICollaborate with AI to improve specific sections of your PRD.
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Describe
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Product name, description, and optionally your target audience and tech stack.
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Structured specs your AI coding tool can actually follow.
Unlike generic AI writing tools, every section is formatted as an actionable instruction set — so your AI coding tool builds the right thing on the first pass.
Stop prompting blind
AI coding tools are only as good as the instructions you give them.
CursorClaude Codev0BoltLovableReplitFigma Make"Build me a task management app"
Result: Generic CRUD app. No user stories. No priorities. Missing features. Constant back-and-forth.
13-section structured spec with user stories, priorities, tech stack, API design, and timeline
Result: Production-ready code on the first pass. Clear scope. Fewer iterations.
Five spec formats, one click
Each template is purpose-built for a different stage of the building process. Pick the one that matches where you are.
Standard PRD
Who it's for
Founders, indie hackers, and first-time builders starting a new product from scratch
What you get
A complete 13-section document covering everything from problem statement to technical architecture. User stories, prioritized requirements (P0/P1/P2), success metrics, timeline, and risk assessment.
When to use it
You have an idea and need a comprehensive blueprint before opening your code editor. This is the spec that turns "I want to build X" into a structured plan any developer (human or AI) can follow.
# PRD: TaskFlow — AI Task Management
## Problem Statement
Remote teams waste 5+ hours/week on triage.
## P0 — Must Have (MVP)
1. Task CRUD with natural language input
2. AI priority scoring: urgency x impact
Technical Spec
Who it's for
Senior developers and architects who know what they're building but need to nail the technical decisions
What you get
Deep-dive into architecture, database schema, API endpoint definitions, deployment strategy, infrastructure requirements, and system design. Less focus on business context, more on implementation details.
When to use it
You're past the "what" and need to figure out the "how." Database choice, API design, auth strategy, caching layers — the decisions that determine whether your app scales or breaks.
## Architecture Overview
├── Next.js 14 (App Router)
├── Supabase (Postgres + Auth)
├── Redis (session cache)
## Database Schema
tasks (id, title, priority_score, status)
MVP Spec
Who it's for
Weekend builders, hackathon teams, and anyone who needs to ship something by Monday
What you get
A ruthlessly scoped document. Only P0 features. No nice-to-haves, no phase 2 dreaming. Includes a stripped-down tech stack recommendation and a build order optimized for speed.
When to use it
You have 48 hours and a domain name. This template cuts everything that isn't essential for launch and gives your AI coding tool a focused, achievable scope.
# MVP: Ship by Sunday
## Scope: 4 screens, 3 API routes
## Stack: Next.js + Supabase + Vercel
## Build Order:
1. Auth + database (2 hours)
2. Core CRUD + UI (4 hours)
Feature Spec
Who it's for
Product teams adding a new feature to an existing application
What you get
Single-feature deep dive with detailed acceptance criteria, edge cases, error states, integration points, and rollback strategy. Not a product-level document — a surgical specification for one capability.
When to use it
Your app already exists. You're adding Slack integration, or a payment system, or a search feature. You need the spec for that one thing, not the whole product.
# Feature: Slack Integration
## Acceptance Criteria
- User can create task via /task command
- Thread replies sync as task comments
## Edge Cases
- Rate limit: queue + retry with backoff
AI Coding Optimized
Who it's for
Developers who are pasting the output directly into Cursor, Claude Code, or v0
What you get
The PRD reformatted as an instruction set. Includes suggested file structure, component breakdown with props and types, API endpoint specifications with request/response shapes, database schema with column types, and a sequential implementation order.
When to use it
This isn't a document for humans to read in a meeting. It's an instruction set for an AI coding agent. Paste it into Cursor and watch it build.
## File Structure
src/components/Dashboard.tsx (props: tasks)
src/api/tasks/route.ts (POST, GET, PATCH)
## Implementation Order
Step 1: prisma schema + migrate
Step 2: API routes + validation
Simple and fair
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“Other PRD tools are built for product managers.
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Generic AI writing tools give you a wall of prose. PRD Creator gives you a structured product requirements document with prioritized features (P0/P1/P2), user stories with acceptance criteria, database schemas, API endpoint definitions, and a phased build timeline. Every section is formatted as an actionable instruction set that AI coding tools like Cursor and Claude Code can follow directly. It's the difference between asking an AI to “write about my app idea” and giving it a complete, structured spec it can implement section by section. A dedicated PRD generator built for developers, not a general-purpose chatbot repurposed for product planning.
Questions
A Product Requirements Document is a structured spec that describes what you're building, who it's for, and how it should work. It's the blueprint AI coding tools need to build your app correctly.
ChatGPT gives you a wall of text. We give you a structured 13-section document with priorities, user stories, technical considerations, and implementation order — formatted for AI coding tools.
Claude (by Anthropic) as primary, GPT-4o as fallback. Both produce excellent structured documents.
That's exactly what it's designed for. Our "AI Coding Optimized" template generates specs specifically formatted for AI coding tools.
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