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thrillwiki_django_no_react/memory-bank/productContext.md

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Product Context

Overview

ThrillWiki is a comprehensive platform for theme park enthusiasts to discover parks, share experiences, and access verified information through a moderated knowledge base.

User Types and Needs

Park Enthusiasts

  • Problem: Difficulty finding accurate, comprehensive theme park information
  • Solution: Centralized, moderated platform with verified park/ride data
  • Key Features: Park discovery, ride details, location services

Reviewers

  • Problem: No dedicated platform for sharing detailed ride experiences
  • Solution: Structured review system with rich media support
  • Key Features: Media uploads, rating system, review workflow

Park Operators

  • Problem: Limited channels for authentic presence and information
  • Solution: Verified company profiles and official park information
  • Key Features: Company verification, official updates, park management

Core Workflows

  1. Park Discovery & Information

    • Geographic search and browsing
    • Detailed park profiles
    • Operating hours and details
  2. Ride Management

    • Comprehensive ride database
    • Technical specifications
    • Historical information
    • Designer attribution
  3. Review System

    • User-generated content
    • Media integration
    • Rating framework
    • Moderation workflow
  4. Content Moderation

    • Submission review
    • Quality control
    • Content verification
    • User management
  5. Location Services

    • Geographic search
    • Proximity features
    • Regional categorization

Strategic Direction

Current Focus

  1. Content Quality

    • Robust moderation
    • Information verification
    • Rich media support
  2. User Trust

    • Review authenticity
    • Company verification
    • Expert contributions
  3. Data Completeness

    • Park coverage
    • Ride information
    • Historical records

Future Roadmap

  1. Community Features

    • Enhanced profiles
    • Contribution recognition
    • Expert designation
  2. Analytics

    • Usage patterns
    • Quality metrics
    • Engagement tracking
  3. Media

    • Image improvements
    • Video support
    • Virtual tours