Report & Analytics
Data Tool for Contact center
Product/UX Design | 10 2019 - 04 2020
Report & Analytics is a highlight feature of the Connect Call Center + CRM service. It provides 50 pre-built and customizable reports and 7 dashboards for managers to understand and oversee the business performance. It helps:
Call center supervisors to monitor real-time traffic load, caller experience, and agent performance
Sales/Support managers to measure the sales performance and customer service experience
Customer managers to understand the customer trend
Product Design Lead
Worked with the product manager (CEO), front-end and back-end engineering teams
Led the UI/UX designer
Oct 2020 - Jan 2021
Sketch - UI/UX Design
InVision App - Design handoff
Trello - Project management
Miro & Lucidchart - User flow, Information Architecture
We rolled out the Connect Contact center service in Taiwan. According to our customer feedback and business prospecting, the next step is to provide methods for customers to monitor the performance of their Call centers and analyze the data in their contact database. In this project, we are working as a small innovation team in an agile environment.
Data reports provide effective measuring and insights into the business performance.
Real-time monitoring is valuable for call centers to optimize resources and customer experience simultaneously.
Built-in reports and analyses save time and effort to export and visualize data with external tools.
Be prioritized for development
Become a highlight of Sales and Marketing
∎ User profiles
Based on the user interview of D2's Sales and Support and second-hand research, we identified 2 types of persona with different working scenarios and needs.
∎ Product studies
I reviewed 8 third-party reports & analytics features from Call Center & CRM services to more general visualization tools.
Provide reference reports and dashboards with industry-standard metrics
Choose accurate visualization graphs based on the purpose of data
Allow customization with a low learning-curve
Design with scalability in mind
Data visualization is not a visual decoration of data. Appropriate visualization models make the data easier for users to understand and gain insights from.
Generating reports and visualizations from qualitative data such as Customers' messages and calls.
Integrated with NLP and machine learning models (e.x. GPT-3) to get more semantic insights.
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