This dashboard visualizes and tracks key metrics related to the technical support centre's operations, helping to understand and improve customer support performance. The dashboard offers a comprehensive view of the centre's activities, including ticket volume, distribution, source, status, priority, agent performance, and geographic analysis.Â
 METHODOLOGY
Step 1: Data PreparationÂ
Prepared clean and collected data to ensure accuracy and consistency
Data Cleaning: Removed duplicates, corrected errors, and standardized formats.
Data Integration: Combined data from different sources into a single dataset using Excel. Ensured all necessary fields are included, such as ticket ID, source, priority, status, product group, creation time, and agent performance metrics.
Step 2: Data Import
Imported the prepared dataset into PowerBI for analysis and visualization
Excel to PowerBI: Used PowerBI’s data import function to load the Excel dataset. Ensured that all relevant columns are correctly mapped and formatted.
Step 3: Data Modeling
Created a data model in PowerBI to establish relationships between different data fields
Define Relationships: Linked tables based on common fields such as ticket ID, agent ID, and time of creation.
Create Calculated Columns and Measures: Developed calculated fields for key metrics, such as ticket counts, resolution rates, and average interaction times.
Step 4: Data Visualization
Developed dashboards in PowerBI to visualize key metrics and insights
Dashboard Design: Designed intuitive and interactive dashboards to display critical metrics. Used charts, graphs, and tables to represent data.
Step 5: Data Analysis
Performed detailed analysis using the visualized data in PowerBI
Trend Analysis: Identified trends in ticket volume over time, peak hours, and busiest days.
Performance Analysis: Evaluated agent performance based on ratings and average interactions.
Source Analysis: Determined the most and least utilized communication channels.
Geographic Analysis: Analyzed ticket volumes by country to identify regions with higher support needs.
Priority Analysis: Assessed the distribution of tickets by priority to ensure resources are allocated effectively.
Step 6: Reporting and Insights
Compiled insights and findings from the analysis to inform decision-making:
Report Generation: Used PowerBI’s reporting capabilities to generate comprehensive reports summarizing key metrics and insights.
Actionable Insights: Identified areas for improvement, such as enhancing after-hours support, focusing on high-demand regions, and optimizing agent performance.
Insight: Email is the most utilized channel for ticket submission, followed by chat and phone.
Analysis: The preference for email (53.85%) suggests that customers value the ability to detail their issues comprehensively. Chat (34.91%) is also popular, likely due to its real-time interaction capability. The relatively low use of phone support (11.24%) could indicate that customers prefer written records of their support interactions or find digital channels more convenient.
Actionable Strategy: To enhance the customer experience, the support centre should:
Ensure robust and responsive email and chat support systems.
Provide training for agents to handle email and chat queries effectively.
Promote phone support for issues that may require immediate attention or more personalized interaction.
Insight: The majority of tickets are low priority (51.15%), with medium (30.98%) and high priority (17.87%) tickets also significant.
Analysis: While low-priority tickets dominate, medium and high-priority tickets require more immediate and specialized attention. This distribution indicates a need for balanced resource allocation to ensure high- and medium-priority issues are resolved swiftly without neglecting low-priority tickets.
Actionable Strategy:
Implement a triage system to prioritize high and medium-priority tickets.
Allocate dedicated teams or specialists for high-priority issues.
Use automation tools for low-priority tickets to streamline resolution processes.
Insight: A substantial number of tickets are submitted outside regular work hours, including overnight (23.73%) and late night (21.97%).
Analysis: The significant after-hours ticket volume underscores the need for continuous support availability. Customers from different time zones or with urgent issues often seek assistance outside standard business hours.
Actionable Strategy:
Extend support hours to cover after-work periods effectively.
Implement a follow-the-sun model to provide 24/7 support using global teams.
Use automated response systems and chatbots to handle common queries during off-hours.
Insight: Germany and Italy show the highest ticket volumes, particularly in pricing and licensing, and product setup.
Analysis: The high volume of tickets from Germany and Italy highlights region-specific support requirements. This could be due to a larger customer base or specific product usage patterns in these countries.
Actionable Strategy:
Deploy region-specific support teams with local language skills and knowledge of regional product usage.
Analyze common issues in these regions to develop tailored FAQs and support materials.
Conduct periodic training for agents on regional market specifics and customer expectations.
Insight: Agents like Connor Danielovitch and Nicola Wane receive high performance ratings, indicating strong customer handling capabilities.
Analysis: High-performing agents are crucial for maintaining customer satisfaction. Their skills and strategies can serve as benchmarks for other agents.
Actionable Strategy:
Recognize and reward high-performing agents to maintain motivation.
Implement mentorship programs where top agents guide and train new or lower-performing agents.
Analyze the methods and practices of top agents to standardize effective support procedures across the team.
Insight: The majority of tickets are generated during weekdays (84.94%).
Analysis: The higher ticket volume on weekdays suggests peak support demand aligns with typical business days. However, the 15.06% of tickets on weekends still represent a significant volume that cannot be ignored.
Actionable Strategy:
Ensure sufficient staffing levels during weekdays to handle peak volumes.
Maintain a smaller but efficient team during weekends to manage the steady flow of tickets.
Consider flexible work schedules for agents to balance workload and availability.
Insight: Pricing and licensing, along with product setup, are the most common topics across multiple countries.
Analysis: Issues related to pricing, licensing, and product setup often require detailed explanations and can be critical for customer operations. Addressing these efficiently can significantly enhance customer satisfaction.
Actionable Strategy:
Develop comprehensive guides and resources for pricing and licensing, and product setup.
Provide specialized training for agents to handle these topics proficiently.
Create a dedicated support channel or hotline for complex issues related to these topics.
By leveraging these insights, the Technical Support Centre can refine its strategies, enhance agent performance, and ultimately improve customer satisfaction. Focusing on efficient channel utilization, balanced resource allocation, continuous support availability, region-specific strategies, and specialized training will ensure the centre operates at peak efficiency and meets customer expectations effectively.
Raw Data in Excel
Dashboards