Case Study: Battery Operation Notifications Solution 1

Case Study: Battery Operation Notifications - Solution 1

Project Overview

Problem: Operators had to use two different platforms every morning to check the status of battery operations, resulting in inefficiencies and wasted time.

Solution: A unified dashboard displaying notifications for battery operations on a right-side panel, allowing operators to manage everything from one place.

Background

This project aimed to simplify the workflow of operators who managed battery operations. Previously, they had to switch between two separate platforms, which caused:

❌ Delays in retrieving battery status

❌ Potential errors due to switching between platforms

❌ Difficulty tracking historical notifications and updates

To address these issues, we explored multiple solutions, including an AI chatbot. However, after evaluating its effectiveness and limitations, we proceeded with a unified dashboard with a notification panel as the final solution.

Design Process

1. Research and Understanding

• Stakeholder Interviews: Conducted discussions with operators to understand their workflow, pain points, and feature requirements. Additionally, collaborated with the technical team to assess the feasibility of various solutions.

• Competitive Analysis: Examined similar dashboards in related industries to identify best practices for notification management.

2. Exploring Alternative Solutions: AI Chatbot

Before finalizing the unified dashboard, we considered implementing an AI chatbot that could provide battery status updates through a conversational interface.

Pros of an AI Chatbot Solution:

✅ Real-time Assistance: Operators could query the chatbot anytime for battery status updates.

✅ Hands-Free Operation: Could be voice-activated, allowing multitasking.

✅ Customizable Alerts: AI could provide personalized notifications based on the operator’s preferences.

Drawbacks of the AI Chatbot Solution:

❌ Slower Information Retrieval: Operators needed to ask questions and wait for responses, rather than quickly scanning a dashboard.

❌ Limited Context Awareness: The chatbot struggled to display multiple notifications at once, requiring multiple queries for comprehensive updates.

❌ Data Retrieval Issues: The chatbot did not store past notifications in an accessible manner, making it difficult for operators to check historical data. Operators needed an easy way to look up past notifications, which the chatbot couldn’t provide efficiently.

❌ Learning Curve & Adoption Issues: Operators preferred a visual overview rather than a text-based chatbot interface.

❌ Integration Complexity: The chatbot required NLP (Natural Language Processing) enhancements for better query handling, increasing development time.

Key Reason for Choosing the Unified Dashboard:

👉 The chatbot's biggest limitation was the inability to retrieve past notifications, which was critical for operators needing historical battery status updates.

3. Final Decision: Unified Dashboard with Notification Panel

After evaluating the AI chatbot’s drawbacks, we proceeded with a unified dashboard with a right-side notification panel to provide a more intuitive, visual, and real-time experience.

• User Flow & Information Architecture: Mapped out how operators would interact with the dashboard, focusing on seamless access to notifications.

• Wireframing & Prototyping: Developed low-fidelity wireframes and high-fidelity interactive prototypes to validate the design.

• Visual Design: Used color-coded notifications to indicate urgency (Red = Critical, Yellow = Warning, Green = Informational).

4. User Testing & Iterations

• Conducted usability tests with operators to gather feedback.

• Iteratively refined notification hierarchy and navigation clarity based on user input.

Results

✅ Efficiency: Operators now manage battery operations from a single platform, reducing task completion time by 30%.

✅ Accuracy: The unified dashboard minimizes errors from switching between platforms, allowing real-time monitoring.

✅ Satisfaction: Positive feedback from operators highlighted the dashboard’s intuitive design and clear notifications.

Conclusion

While an AI chatbot seemed like a promising solution, it introduced challenges in efficiency, usability, and implementation complexity. By choosing a unified dashboard with an integrated notification panel, we successfully streamlined battery operation management, improving speed, accuracy, and user experience.

This case study highlights the importance of evaluating multiple solutions before implementing the most effective and user-friendly approach.