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Analytics

Analytics

 

Analytics reports (e.g., user engagement) are available via API or also via Unique UI. The article explains which reports are available out of the box and how to get them. Unique continuously enriches the service with additional reports.



Definitions

Active Users: A user with a minimum of one interaction (question & answer) over a defined period of time

Unique Users: A user counted only once no matter how many times they interacted (question & answer) over a defined period of time.

Available Reports

Usage statistics

  • Chat Interactions

  • Active Users

  • Document Reference Statistics

Work with Reports

How to download Reports

  • A user with the required role is able to request an analytics export.

  • A user can filter the data request:

    • By date

    • with for a specific Assistant by spec

  • When a user requests for a report, the system will create an order entry in the Analytics order table. After the request is completed, a report is available for the user to download.

  • A user can delete the report after it has been processed or downloaded. You can also filter down report for a specific Assistant before exporting.

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Analytics page with two finished and one order processing

Interpret reports

Chat Interactions

With this analytics you can evaluate the following:

  • Which assistant is most used

  • Number of interactions per assistant

  • Most active user

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  • Email: The email of the user, who interacted with the assistant

  • Date: The date of the interaction

  • Assistant: The assistant used for the interaction

  • Count: Number of interactions (question & answer) the user had on the indicated date with the selected assistant

 

Active Users

With this analytics you can evaluate the overall engagement of the users on the platform:

  • How many unique daily active users (DAU) are on the platform?

  • How many unique weekly active users (WAU) are on the platform?

  • How many unique monthly active users (MAU) are on the platform?

  • How did the DAU/WAU/MAU develop over time?

image-20240205-182809.png

 

  • Period: month (relevant for MAU), week (relevant for WAU), day (relevant for DAU)

  • Date: The date of the interaction. The date for the weekly interaction always indicates the end of a 7-day period, e.g. week 10.02.24 means the week 04.02.-10.02.2024.

  • Value: Number of unique users who had at least one interaction (request) in the specified period. A user who has 10 interactions ( questions & answers) within one day is only counted once (unique user).

Reference Statistics

With this analytics you can evaluate the overall engagement of the users on the platform:

  • Who uploaded which documents?

  • Which documents are most asked about?

  • Which documents are uploaded to which scopes?

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  • File Uploaded Date: The date the file was initially ingested (connected via Sharepoint or manually uploaded)

  • File name: The name of the file (as also shown in the knowledge center)

  • File uploader: The email address of the user who uploaded or connected the file. For Sharepoint it is currently just one generic user ID, which will be changed in the future.

  • Source: UNIQUE_BLOB_STORAGE refers to the manual upload of files and MICROSOFT_365_SHAREPOINT to documents ingested via Sharepoint

  • Reference Count: The number a document was referenced on the platform when answering a question.

  • Scope: The scope a file was uploaded to

Detailed Chat Interactions

This report gives you a detailed export of the chat interactions. The report contains mainly every message of the user and answer of Unique AI in the specified time frame. The user is as default anonymised. But on special request by a customer Unique can change this to contain the users data. (Not available on multi tenant instance)

This exported data can help identify frequently asked questions/prompts and also missing knowledge when Unique AI is not able to provide an answer.

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  • Username: The name of the user or anonymised: Unknown

  • Timestamp: The date and time the user sent the message

  • Space: Which space the user has used for this message

  • Chat ID: Identifying which messages belongs together (the same chat)

  • Message: The message that was sent

  • Answer: The answer of Unique AI

  • Device Category: Which device the user used (mobile, desktop, tablet)

 


Author

@Jovana Sanussi (Deactivated)

 

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