Verified AI summary ◀▼
Autoscoring evaluates and scores all customer interactions using predefined categories, enhancing quality assessments and saving time. You can customize or create new categories, with some requiring OpenAI for language support. Key categories include Greeting, Empathy, and Solution Offered. Use the AutoQA dashboard to track performance and identify training needs. Conversations with autoscoring are marked with a hologram icon for easy identification.
Autoscoring supports your manual review efforts by automatically evaluating and scoring customer interactions for 100% of your ticket volume based on predefined categories. This ensures consistent quality assessments, reduces subjectivity, and saves reviewers time, allowing them to focus on categories that need more attention.
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Overview of autoscoring (video)
In addition to the details in this article, this video provides a helpful visual overview of autoscoring.
About autoscoring categories
Autoscoring categories are indicated by a hologram icon ().
Zendesk QA includes several system categories that are automatically scored when active. Admins can customize some of these categories and create new custom autoscoring categories.
The languages supported for each category depend on whether OpenAI is activated in the AutoQA account settings.
The following system categories receive automatic scoring in Zendesk QA:
Category | Description | Score | Languages/OpenAI-enabled | Languages/OpenAI-disabled |
Greeting | Answers the question “Did the agent greet the customer?”. Greeting phrases in different languages are searched in agent messages. The Greeting AutoQA category is available for both text and voice interactions. |
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All | English, German, Spanish, French, Italian, Dutch, Polish, Portuguese |
Empathy | Assesses whether the agent was empathetic towards the customer and
their problems. The Empathy AutoQA category is available for both text and voice interactions. |
Binary: (![]() ![]() |
All | Not available without OpenAI |
Spelling and grammar | Detects grammar mistakes, misspellings, and style errors. Error highlighting can be toggled on or off. Hovering over the highlight displays specific information about the error. |
Customizable | English (US), German, French, Polish | English (US), German, French, Polish |
Closing | Evaluates whether the agent closed the conversation properly,
including offering further help and thanking the customer. The Closing AutoQA category is available for both text and voice interactions. |
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All | English, German, Spanish, French, Italian, Dutch, Polish, Portuguese |
Solution offered |
Identifies whether a solution was proposed in the conversation. The Solution AutoQA category is available for both text and voice interactions. |
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All | Not available without OpenAI |
Tone |
Recognizes 27 tones and calculates a score based on their positive or negative weights. |
Customizable | All | Not available without OpenAI |
Readability | Analyzes how easily a text can be understood, considering word
complexity and sentence length. Complex words and long sentences highlighting can be toggled on or off. |
Fixed 3-point scale |
English | English |
Comprehension | Checks whether the agent understood the customer's issue, possibly
requiring clarifying questions or summarizing the problem. The Comprehension AutoQA category is available for both text and voice interactions. |
Binary: (![]() ![]() |
All | Not available without OpenAI |
Viewing autoscoring in conversations
Conversations with autoscoring categories are indicated by a hologram icon (
) in the Conversations view.
To access AutoQA in conversations
- In Quality Assurance, click
Conversations in the sidebar.
- Select a conversation.You can use custom filters to find conversations using AutoQA categories to review.
- In the sidebar on the right, click the Feedback
icon (
).
- View the AutoQA autoscores under Reviews.
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