Sharing Feedback
When working with AI assistants, you can provide feedback on the AI features and the AI generated content at various stages.
Use the following options to provide feedback:
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Option
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Description
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The AI-generated output was useful.
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The AI-generated output needs improvement.
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Provide detailed feedback on the AI generated output using the additional comments field.
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If your administrator has selected the Allow Detailed Analytics checkbox, when integrating Codebeamer with PTC SaaS platform, any feedback shared with PTC includes the item summary and description, along with all previously entered or selected inputs for the feature.
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Assistant
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Information Sent
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AI Test Case Assistant 1.0
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• Feedback: Thumbs-up or thumbs-down selection.
• User Input: Additional comment, if provided.
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AI Test Case Assistant 1.1
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• Feedback: Thumbs-up or thumbs-down selection.
• User Input: Additional comment, if provided.
• Item details:
◦ Item summary
◦ Item description
• AI context details:
◦ Field selected for setting the AI context.
◦ Actual content of the selected field.
◦ Field description provided in Field Description (Required) when setting the AI context.
• Content of the Tracker Overview field.
• Content of the Test Case Guidelines field.
• Test Configuration details:
◦ Test condition used.
◦ Test technique used.
• New test case details:
◦ Test name
◦ Test description
◦ Pre-action details
◦ Post-action details
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Search Assistant
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• Selected streams and projects.
• Search in options selected, for example, Items, Text Fields, Item Comments, Wikis.
• Feedback: Thumbs-up or thumbs-down selection.
• User Input:
◦ Additional comment, if provided.
◦ Search query
• Search results card details visible to the user, including item summary, description, project name, tracker name, working-sets names, similarity score, and related metadata
• Clicks to References and Associations options in the search results panel.
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Requirement Assistant 1.0
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• Feedback: Thumbs-up or thumbs-down selection.
• User Input: Additional comment, if provided.
• Item details:
◦ Item summary
◦ Item description
• Issue details:
◦ Category
◦ Example
◦ Explanation
◦ Locale used
◦ Rewrite tool used
◦ Rule applied
◦ Issue severity
◦ Tip
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Requirement Assistant 1.1
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• Feedback: Thumbs-up or thumbs-down selection.
• User Input: Additional comment, if provided.
• Item details:
◦ Item summary
◦ Item description
• Issue details:
◦ Category
◦ Example
◦ Explanation
◦ Locale used
◦ Rewrite tool used
◦ Rule applied
◦ Issue severity
◦ Tip
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Your feedback is regularly reviewed by relevant teams at PTC, and we use these insights to continually enhance our offerings in future releases. As part of our review cycles, we evaluate both positive and negative customer sentiment, analyse any free‑form comments you share, and assess feature‑usage patterns to gain additional perspectives.
This feedback plays a vital role in improving the quality of our AI Assistants and enhancing the overall user experience.
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The options for sharing feedback are unavailable if the service principal was not configured or was incorrectly configured on the PTC SaaS Platform, for example, if one or more required fields are missing. For more information, see Integrate Codebeamer with the PTC SaaS Platform.
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