Smart Data Mapping
Smart Data Mapping
Challenge
Customers were struggling with an error-prone, manual process for importing crucial CSV data into our insurance system. Files arrived in inconsistent formats with mismatched column names, leading to processing delays of 1-2 days, high error rates, and numerous support tickets.
Approach
Interviewing 12 customers and analyzing 22 sample CSV files to identify common pain points
Developing a step-by-step guided workflow with intelligent column mapping
Creating an intuitive interface with real-time validation and feedback
Implementing predictive matching that automatically suggests the correct field mappings
Adding inline preview capabilities so users could verify data before submission
Results
Reduced data processing time by 80%, from days to minutes
Achieved 90% decrease in formatting errors
Reduced CSV-related support requests by 75%
Onboarded 80% of existing customers within one month
This project demonstrates how thoughtful UX design can transform tedious technical processes into intuitive experiences that save time, reduce errors, and improve customer satisfaction.
Challenge
Customers were struggling with an error-prone, manual process for importing crucial CSV data into our insurance system. Files arrived in inconsistent formats with mismatched column names, leading to processing delays of 1-2 days, high error rates, and numerous support tickets.
Approach
Interviewing 12 customers and analyzing 22 sample CSV files to identify common pain points
Developing a step-by-step guided workflow with intelligent column mapping
Creating an intuitive interface with real-time validation and feedback
Implementing predictive matching that automatically suggests the correct field mappings
Adding inline preview capabilities so users could verify data before submission
Results
Reduced data processing time by 80%, from days to minutes
Achieved 90% decrease in formatting errors
Reduced CSV-related support requests by 75%
Onboarded 80% of existing customers within one month
This project demonstrates how thoughtful UX design can transform tedious technical processes into intuitive experiences that save time, reduce errors, and improve customer satisfaction.
Challenge
Customers were struggling with an error-prone, manual process for importing crucial CSV data into our insurance system. Files arrived in inconsistent formats with mismatched column names, leading to processing delays of 1-2 days, high error rates, and numerous support tickets.
Approach
Interviewing 12 customers and analyzing 22 sample CSV files to identify common pain points
Developing a step-by-step guided workflow with intelligent column mapping
Creating an intuitive interface with real-time validation and feedback
Implementing predictive matching that automatically suggests the correct field mappings
Adding inline preview capabilities so users could verify data before submission
Results
Reduced data processing time by 80%, from days to minutes
Achieved 90% decrease in formatting errors
Reduced CSV-related support requests by 75%
Onboarded 80% of existing customers within one month
This project demonstrates how thoughtful UX design can transform tedious technical processes into intuitive experiences that save time, reduce errors, and improve customer satisfaction.
Services
Services
UX/UI Design
UX/UI Design
User Research
User Research
Duration
Duration
6 months
6 months
Role
Role
Lead Designer
Lead Designer
Key Skills
Key Skills
Data Visualization
Data Visualization
Information Architecture
Information Architecture
Interaction Design
Interaction Design
Impact
Impact
80% Faster Processing
80% Faster Processing
90% Error Reduction
90% Error Reduction
75% Fewer Support Tickets
75% Fewer Support Tickets
Platform
Platform
Web Application
Web Application