USERS (Internal)

Quality Team

ROLE

UI | UX | Development

Purpose

Workflow Automation

PROJECT OVERVIEW

Classiqo is a quality data app designed to centralize and automate medical device code classification across external regulatory complaint data and internal complaints.

Weather app image

Problem

Problem

Problem

The Quality team depended on manual classification and separate workflows to monitor complaints, which made it difficult to perform cross-dataset analysis.

Manual & Inconsistent Classification

Classification codes were previously assigned manually in local Excel files. This led to inconsistencies, version control issues, and reliance on individual interpretation.

Fragmented Data Across Workflows

Authority monitoring and complaint tracking were managed separately, making it difficult to compare trends across datasets.

Limited Analysis & Visualization

Manual rework slowed down data visualization and data-driven decisions.

Process

Process

Process

Research & Planning

  • Reviewed existing Excel workflows and identified gaps in medical device code classification

Design & Prototyping

  • Designed the app for three primary user experiences: Authority Monitoring, Complaint Databank, and File Status Tracking

Development & Implementation

  • Developed the app in Power Apps with automated workflows created in Power Automate

  • Built an extraction workflow for uploaded CSV files

  • Implemented dynamic form logic and specification mapping rules

Testing & Optimization

  • Tested CSV formatting variations

  • Optimized performance for bulk uploads

Solution

Solution

Solution

The final solution delivers a simplified experience of classifying internal and external complaint data.

Automated Code Classification

Users can now upload external regulatory files or select complaint specifications to automatically assign medical device classification codes.

Unified Data Across Workflows

Internal and external complaints feed into one standardized system using the same code structure.

Reduced Data Cleanup

Users can rely on automatic formatting and field population, reducing manual data cleanup.

Results

Results

Results

The Quality team transitioned from Excel-based complaint tracking to using the app as their primary workflow. Data captured in the app now feeds into Qlik, the company's data analysis and visualization tool.

Enabled Cross-Dataset Visualization

Internal and external complaint data can now be visualized together in Qlik dashboards.

Stronger Data-Driven Decisions

Quality leaders can confidently identify recurring trends and prioritize corrective actions.

Reduced Manual Effort & Improved Accuracy

Automation significantly reduced manual coding errors. CSV upload functionality streamlines bulk processing, while dynamic form logic speeds up complaint entry.