Conversation AI Dashboard

The Conversation AI Dashboard is designed to give you comprehensive insights into your AI bot’s performance. This article will give you an overview of this feature so you can track key metrics, optimize bot efficiency, and make informed, data-driven decisions that drive growth and success.

Why It Matters

How It Works

Access the Dashboard

To get started, navigate to the Conversation AI Bot tab inside the AI Agents section and select the Dashboards area.

Filter & Compare Data

Refine your insights by using the Channel, Date Range, and Agent Selector. These tools allow you to narrow down the data to specific channels or periods, enabling side-by-side comparisons to track performance over time.

Monitor Key Metrics

The dashboard provides real-time data on a variety of performance indicators, including:

  1. Total Unique Contacts: The number of unique contacts engaged by the bot.
  2. Actions Triggered: The total number of bot-driven actions completed.
  3. Appointments Booked: The number of successful appointments made via the bot.
  4. Time Saved: An estimate of the reduction in manual effort, offering a clear view of productivity gains.

Click on each metric to view a graphical representation of the data by day. This allows you to identify peak days and view trends across the period.

Below this table, you will find data relevant to the selected metric, when available, providing further insights into its performance.

Total Unique Contacts 

When this metric is selected, you will see:

Total Actions Triggered

The Total Actions Triggered metric gives you insight into: 

The dashboard doesn’t just show you the numbers; it provides recommendations to help improve your bot’s performance. Whether it’s optimizing response settings or improving appointment scheduling, the insights offered are practical and actionable.

Future Enhancements

Soon, the Conversation AI Dashboard will include the ability to identify common queries your bot receives and suggest adding them to the FAQ to improve response accuracy and bot efficiency.

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