Overview

Overview

In early 2020, a prominent insurance provider, recognized for its customer-first approach, introduced an AI-powered chatbot to modernize its support channels. This conversational assistant was designed to reduce the strain on customer service teams, address routine queries efficiently, and create a future-ready framework for advanced AI integrations.

The chatbot initiative aimed to reduce human intervention for repetitive tasks, freeing up resources while maintaining high customer satisfaction and operational efficiency.

In early 2020, a prominent insurance provider, recognized for its customer-first approach, introduced an AI-powered chatbot to modernize its support channels. This conversational assistant was designed to reduce the strain on customer service teams, address routine queries efficiently, and create a future-ready framework for advanced AI integrations.

The chatbot initiative aimed to reduce human intervention for repetitive tasks, freeing up resources while maintaining high customer satisfaction and operational efficiency.

My Role

My Role

Conversational Designer

Conversational Designer

Defining User Journeys

Designing Empathetic Flows

Collaborating on AI Training

Prototyping & Testing

Fallback Mechanisms

Defining User Journeys

Designing Empathetic Flows

Collaborating on AI Training

Prototyping & Testing

Fallback Mechanisms

Timeline

Timeline

8 months

8 months

Impact

Impact

85%

CSAT

CSAT

The chatbot maintained a consistent Customer Satisfaction (CSAT) score of 85%, reflecting strong acceptance of the chatbot's usability and effectiveness in resolving customer queries.

The chatbot maintained a consistent Customer Satisfaction (CSAT) score of 85%, reflecting strong acceptance of the chatbot's usability and effectiveness in resolving customer queries.

82%

Query Automation

Query Automation

Successfully automated 82% of customer interactions, reducing the dependency on human agents for routine inquiries.

Successfully automated 82% of customer interactions, reducing the dependency on human agents for routine inquiries.

8,000

Agent Hours Saved Annually

Agent Hours Saved Annually

By handling repetitive and straightforward inquiries, the chatbot freed up a significant number of agent hours, enabling the team to focus on more complex customer needs.

By handling repetitive and straightforward inquiries, the chatbot freed up a significant number of agent hours, enabling the team to focus on more complex customer needs.

Foundation for Scalability

Foundation for Scalability

Designed and implemented a scalable conversational framework that supports future AI integrations and enhancements.

Designed and implemented a scalable conversational framework that supports future AI integrations and enhancements.

Key Takeaways

Key Takeaways

Clarity Over Complexity

Clarity Over Complexity

Simpler conversations win. Users should never struggle to understand what the chatbot is "saying." Clear, concise, and actionable responses always trump overloading with information.

Simpler conversations win. Users should never struggle to understand what the chatbot is "saying." Clear, concise, and actionable responses always trump overloading with information.

Beginner’s Mind

My mind was open, my ego was non-existent, and my enthusiasm was high. This helped me take chances and learn quickly.

My mind was open, my ego was non-existent, and my enthusiasm was high. This helped me take chances and learn quickly.

The Bot is Not Me

As much as I want the chatbot to sound friendly and approachable, it must reflect the brand’s voice and cater to the user’s needs and not my personal style.

As much as I want the chatbot to sound friendly and approachable, it must reflect the brand’s voice and cater to the user’s needs and not my personal style.

Silence is a Response

Sometimes, it’s better for the bot to pause than to overwhelm the user with responses. I learned that designing well-timed pauses in the conversation could make the bot feel more human and less robotic.


Sometimes, it’s better for the bot to pause than to overwhelm the user with responses. I learned that designing well-timed pauses in the conversation could make the bot feel more human and less robotic.


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