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Profile Quality Checker

A desktop app that validates event attendee profiles and flags incomplete data for marketing campaigns.

Vision

Event organizers struggle with messy registration data. This tool gives you clean, segmented lists in seconds - no more manual checking. Eventually, this could integrate directly with registration platforms, auto-send reminder emails, and provide real-time quality dashboards for your team. Imagine catching data issues as people register instead of weeks later.

Current Phase: MVP

Building the minimum to validate profile quality and export clean data.

Included:

  • CSV import (drag & drop)
  • Email validation and auto-correction
  • Missing field detection
  • Quality scoring and labeling
  • Export cleaned CSV with marketing segments

Not included (yet):

  • Direct integration with registration platforms → v1.0
  • Automated email reminders → v1.0
  • Multi-file batch processing → v1.0
  • Team collaboration features → Production

Success criteria:

  • Process 10K rows in under 10 seconds
  • Auto-fix at least 80% of common email typos
  • Export CSV ready for immediate marketing upload
  • You can run this weekly without tech help

Tech Stack

  • Frontend: Electron + React (desktop app)
  • Backend: Node.js (file processing)
  • CSV Parser: PapaParse (fast CSV handling)
  • Validation: email-validator, custom rules
  • Hosting: Runs locally on your computer

Setup

# Clone and install
git clone [your-repo-url]
cd profile-quality-checker
npm install

# Run the app
npm start

Project Structure

src/
├── main/           # App startup and file system access
├── renderer/       # UI components (buttons, display)
├── utils/          # Validation logic and CSV processing
└── styles/         # Visual styling

First Time Setup

  1. Make sure you have Node.js installed (v16 or higher)
  2. Clone this repository
  3. Run npm install to install dependencies
  4. Run npm start to launch the app
  5. Drop a CSV file to get started!

Using the App

  1. Launch - Run npm start
  2. Import - Drag & drop your CSV file or click Browse
  3. Review - See quality issues detected
  4. Export - Click "Export Clean CSV" to get your marketing-ready file

Output Format

The app adds these new columns to your CSV:

  • quality_score - 0-100 rating of profile completeness
  • email_status - "Valid" | "Fixed" | "Invalid"
  • missing_fields - Comma-separated list of empty required fields
  • needs_attention - "Yes" | "No" flag for marketing campaigns

Support

Having issues? Check LEARNINGS.md for common problems and solutions.

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