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Initial Requirements Capture

Initial Requirements Capture

PoetryPal

Initial Requirements Capture Briefing

What This Covers

A mobile app to help aspiring poets write daily through AI prompts and community feedback — targeting 1000+ daily active users within 3 months of launch.

Worth Knowing

The core bet is that structured daily prompts plus a supportive community will solve the consistency problem better than existing writing apps — success hinges on reaching critical mass fast enough for social features to work.

Overview

PoetryPalsy is a mobile application designed to nurture daily poetry writing habits and build a supportive community of poets. This MVP project aims to launch within 3-6 months with a budget of $10k-$50k.

Key success metrics:

  • Achieve 1000+ daily active users within 3 months
  • Generate 10,000+ unique poems
  • Maintain 30% daily prompt completion rate
  • Establish 4+ star average user rating

The project will be executed by a cross-functional team of 5 members, focusing on delivering core features that enable daily writing practice and community engagement.

Problem Statement

Aspiring poets face three critical challenges:

  1. Inconsistent Practice: Writers struggle to maintain regular writing habits due to lack of structure and accountability

  2. Creative Blocks: Finding fresh, inspiring prompts for daily writing is time-consuming and often leads to creative paralysis

  3. Limited Community: Amateur poets lack accessible platforms to:

  • Share their work in a supportive environment
  • Receive constructive feedback
  • Connect with fellow poetry enthusiasts
  • Track their growth as writers

Target Users

Primary Users:

  • Aspiring poets (18-45 years old)
  • Creative writing enthusiasts
  • Hobbyist writers
  • Poetry students and educators

User Characteristics:

  • Desire to develop consistent writing habits
  • Seek creative inspiration and guidance
  • Value community feedback and interaction
  • Have basic smartphone proficiency

Acquisition Channels:

  • Writing workshops and classes
  • Social media poetry communities
  • Creative writing forums
  • Literary events and festivals
  • Educational institutions

Value Proposition

For Users:

  • Structured daily writing prompts to maintain consistent practice
  • AI-powered inspiration to overcome creative blocks
  • Supportive community for feedback and growth
  • Personal poetry archive to track progress

Platform Value:

  • Subscription model for premium features
  • Community-driven content generation
  • Network effects from social interactions
  • Data insights into writing patterns and preferences

Competitive Advantage:

  • Focus on poetry-specific experience
  • AI-enhanced creativity support
  • Built-in community features
  • Progress tracking and metrics

Initial Requirements

Core Features:

  1. Prompt System
  • Daily AI-generated poetry prompts
  • Push notification delivery
  • Prompt history access
  1. Writing Interface
  • Text editor with basic formatting
  • Draft saving capability
  • Submission workflow
  1. Personal Library
  • Poem archive storage
  • Search functionality
  • Organization tools
  1. Community Features
  • Social feed for discovering poems
  • Rating and feedback system
  • User profiles
  • Basic moderation tools
  1. Technical Infrastructure
  • User authentication
  • Cloud storage
  • AI integration
  • Cross-platform mobile support

Constraints and Open Questions

Technical Constraints:

  • AI prompt generation quality and diversity
  • Mobile platform limitations
  • Scalability of social features
  • Content moderation capabilities

Open Questions:

  1. How to ensure consistent quality of AI-generated prompts?
  2. What moderation tools are needed for user-generated content?
  3. How to maintain engagement during initial community growth?
  4. What metrics best measure writing improvement?

Known Risks:

  • Critical mass dependency for social features
  • Content moderation scalability
  • Competition from established writing apps
  • User retention challenges
  • Technical complexity of AI integration