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How to Build a Keyword Search Volume Tracking Dashboard Prototype

A prototype dashboard for tracking and visualizing keyword search volume changes over time, using predefined mock data, line charts, and a multi-tab interface. The project integrates Bolt.new with Supabase and focuses on demonstrating search volume fluctuations for 50 sample keywords.

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Simple Summary

This coding plan outlines the development of a prototype dashboard for tracking keyword search volume changes using Bolt.new with Supabase integration, featuring predefined mock data and line charts for visualization.

Product Requirements Document (PRD)

Goals:

  • Create a prototype dashboard to demonstrate keyword search volume changes
  • Use predefined mock data for 50 sample keywords
  • Implement a multi-tab interface for organized data presentation
  • Visualize search volume changes using line charts
  • Allow filtering of keywords by domain, page, keyword, and country
  • Provide visual indicators and email notifications for significant changes
  • Support weekly and monthly data update frequencies
  • Maintain at least 50 latest versions of movements for each keyword
  • Implement two user roles: Administrators and regular users

Key Features:

  1. Dashboard with multi-tab interface
  2. Line charts for visualizing search volume changes
  3. Filtering options (domain, page, keyword, country)
  4. Time scope selection for specific keyword movements
  5. Change detection for search volume (up or down)
  6. Visual indicators for significant changes
  7. Email notifications for significant changes
  8. CSV import functionality (add new, keep existing)
  9. User role management (Administrators and regular users)

User Requirements:

  • View search volume changes since last fetch or within a specific time frame
  • Filter keywords by various criteria
  • Receive notifications about significant changes
  • Import keyword data via CSV
  • Access appropriate features based on user role

User Flows

  1. Viewing Keyword Search Volume Changes:

    • User logs into the dashboard
    • Selects desired tab for data view
    • Applies filters (e.g., country, domain)
    • Chooses time scope for analysis
    • Views line chart showing search volume changes

  2. Importing Keywords via CSV:

    • User navigates to import section
    • Uploads CSV file with keyword data
    • System processes file, adding new keywords and retaining existing ones
    • User receives confirmation of import completion

  3. Receiving Change Notifications:

    • System detects significant search volume change
    • Dashboard updates with visual indicator
    • User receives email notification about the change
    • User logs in to view detailed information about the change

Technical Specifications

Recommended Stack:

  • Frontend: Bolt.new
  • Backend: Supabase
  • Database: Supabase (PostgreSQL)
  • Charting Library: (Not specified, but compatible with line charts)
  • Email Notification Service: (Not specified)

Technical Decisions:

  • Use of predefined mock data for prototype
  • Implementation of multi-tab interface for dashboard
  • Line charts for visualizing search volume changes
  • Two-level user role system (Administrators and regular users)
  • CSV import functionality with specific handling rules

API Endpoints

N/A

Database Schema

N/A

File Structure

/ ├── src/ │ ├── components/ │ │ ├── Dashboard/ │ │ │ ├── Overview.js │ │ │ ├── DetailedCharts.js │ │ │ ├── KeywordList.js │ │ │ └── Settings.js │ │ ├── Charts/ │ │ │ └── LineChart.js │ │ ├── Filters/ │ │ │ └── KeywordFilters.js │ │ └── Notifications/ │ │ └── ChangeIndicator.js │ ├── pages/ │ │ └── Dashboard.js │ ├── utils/ │ │ ├── mockData.js │ │ └── csvImport.js │ └── services/ │ └── emailNotification.js ├── public/ │ └── assets/ └── config/ └── supabase.js

Implementation Plan

  1. Set up project with Bolt.new and Supabase integration
  2. Create predefined mock data for 50 sample keywords
  3. Implement basic multi-tab dashboard structure
  4. Develop line chart component for search volume visualization
  5. Create filtering functionality (domain, page, keyword, country)
  6. Implement time scope selection for keyword movements
  7. Add change detection logic for search volume
  8. Develop visual indicators for significant changes
  9. Implement email notification system
  10. Create CSV import functionality
  11. Set up user role management (Administrators and regular users)
  12. Integrate all components into the main dashboard
  13. Perform testing and refinement of the prototype

Deployment Strategy

N/A

Design Rationale

  • Multi-tab interface chosen for organized presentation of different data views
  • Line charts selected for effective visualization of search volume trends over time
  • Predefined mock data used for simplicity and consistency in prototype demonstration
  • Two-level user role system implemented to differentiate access and permissions
  • Visual indicators and email notifications combined to ensure users are informed of significant changes through multiple channels
  • CSV import functionality designed to add new data while preserving existing entries, maintaining data integrity