Zendesk Ticket Tracking In Google Sheet

  • Customer Service and Digital Solutions
  • Europe
  • 500
This case study details the experience of a Digital Solutions company, heavily engaged in customer service, facing challenges in managing and processing high volumes of customer tickets.

Highlights

  • 65-75% Time Saved in Data Transfer
  • 90% Reduction in Manual Data Entry Errors
  • Boost in Employee Productivity and Customer Satisfaction

Project Scope

Use Cases

Ticket Handling
Ticket Creation
Data Extraction
Data Extraction
Logistics
Data Modification
Marketplace
Tourism
Navigation
Data Entry
Utilities
Housing
Invoice Correction

Applications Used

In today's fast-paced digital service environment, efficiency and accuracy are paramount. The company struggled with manually transferring and comparing data from Zendesk tickets to Google Sheets. This process, essential for customer service analytics and reporting, was time-consuming and prone to human error. 

Head of Customer Solutions

Head of Customer Solutions

The Challenge

In today's fast-paced digital service environment, efficiency and accuracy are paramount. The company struggled with manually comparing and transferring data from Zendesk tickets to Google Sheets. This process, essential for customer service analytics and reporting, was time-consuming and prone to human error. 


Project Scope

Use Cases

Data Extraction
Data Modification

Applications Used


Implementation

automaited's assistant was implemented to automate the process of extracting and comparing ticket data from Zendesk tickets and entering it into Google Sheets.

Previous Manual Process

The manual process involved several steps:

  • Reading and extracting relevant information from Zendesk tickets.
  • Navigating to the corresponding Google Sheet.
  • Manually entering ticket data into the sheet, field by field.
  • Double-checking for accuracy and format consistency.

Automated Process

With Automaited's assistant:

  • Data from Zendesk tickets is automatically extracted.
  • The data is automatically entered into the designated Google Sheet.
  • Complex logic for data categorization and entry is handled automatically.

Result

The introduction of automaited's solution led to significant improvements:

  • Efficiency: Time spent on data transfer was reduced by 65-75%, greatly speeding up the process.
  • Accuracy: Significant reduction in manual errors, ensuring more reliable data.
  • Scalability: Ability to handle increasing volumes of customer tickets efficiently.
  • Customer Satisfaction: Quicker and more accurate data processing improved customer service and satisfaction.

This case study exemplifies the transformative impact of automation in customer service data management, setting a new standard for efficiency and accuracy in the industry.