The most common ways to improve the customer experience with AI is to use a chatbot or AI agent that orchestrates your CRM, internal information, and other platforms for customers and employees.
Guide to chatbot analysis in 2024
A step-by-step guide to measuring chatbot analytics, including how to use advanced analytics.
sarah chudleigh
chatbot analytics" on blue and black background.
Creation and deployment are just the first step in creating switzerland phone numbers an AI chatbot. After deployment, you'll be ready to monitor your project with chatbot analytics.
Any real chatbot or AI agent project requires tracking metrics to observe and improve its performance.
With several years of experience deploying enterprise chatbots, our team is well-versed in monitoring and reiterating successful chatbot deployments. Not taking full advantage of your chatbot analytics is one of the most common mistakes businesses make when implementing a chatbot.
Here's a quick guide to get started with chatbot analysis.
what are chatbot analytics?
Chatbot analytics involves tracking, measuring, and analyzing a chatbot's performance and interactions through chosen metrics.
These analytics provide insights into how users interact with a chatbot, its effectiveness, and its overall impact on business goals.
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Why should I measure chatbot analytics?
Whatever the project, you need to measure the analytics of your AI chatbot.
An AI chatbot project consists of 3 stages: construction, deployment and monitoring. The backbone of the monitoring stage is to measure the chatbot's meaningful analytics and reiterate them in your chatbot.
Proper monitoring is essential to the success of a chatbot implementation: tracking analytics lets you know where your bot has room for improvement and where it is providing the greatest return on investment.
How to measure the performance of your chatbot: step by step
1. Define the chatbot's objectives
Start by identifying the objective of your chatbot. What specific results do you want? A customer service chatbot and a lead generation chatbot will have very different goals than an HR chatbot.
Common goals include better customer service, AI-enhanced lead generation, sales support, or increased user engagement.
2. Link goals to kpi
You can then select KPIs that reflect your goals:
If your goal is to improve customer service, your KPIs could be a resolution time of less than 2 minutes, a ticket deflection rate of at least 40%, and a customer satisfaction score greater than 85%.