# Summary

Here, you will obtain a deep understanding of the intents asked, helping you know the interests and problems that visitors/customers face with your business, and accordingly, you can draft a specific message or journey for the same.

<figure><img src="https://3618795910-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3pP2APLi2ZwqQCorRa5l%2Fuploads%2FYibazckGalxOkuIBUb7H%2Finstictct%20AI%2024.png?alt=media&#x26;token=ec1008fc-28ef-4289-a6b8-66d6596a3d1e" alt=""><figcaption></figcaption></figure>

### Key Points  In Summary

#### Intent

Intents are the names/queries that you want the bot to understand. Under intent, you can see a list of intent names and, besides that, their performance. Knowing the accuracy and effectiveness of intents is crucial for assessing the bot's overall performance.&#x20;

#### Messages

Messages tell you about the frequency, i.e., how many times a particular intent has been sent by a bot. Knowing the frequency, tells about regular intents, and you can train the bot accordingly to respond back with a better reply.

#### Importance

Assigning appropriate importance levels to intents ensures that the bot prioritizes and handles critical tasks effectively.&#x20;

#### Accuracy

High intent accuracy is a key indicator of a well-trained bot. Regularly assessing and improving accuracy helps in refining the bot's natural language understanding, reducing errors, and enhancing the overall user experience.&#x20;

#### Catch-All

Analyzing the catch-all performance aware of how effective the catch-all mechanism is and hence tells about user interactions. It helps to know the situations where the bot might not have a specific intent defined for a particular user input.
