Zenhub's AI features, AI Acceptance Criteria and AI Suggested Labels, are tailored to enhance the efficiency and accuracy of issue creation and management in Agile workflows.



TABLE OF CONTENTS

AI Acceptance Criteria


AI Acceptance Criteria (AI AC) leverages AI to generate acceptance criteria automatically, making the process of creating tickets in Zenhub more efficient and consistent.

Enabling AI AC

  • Admins can enable AI AC in the organization's Zenhub settings.
  • Once activated, it's available for creating and editing issues in both Zenhub and GitHub.

Benefits of AI Acceptance Criteria

  • Efficient Ticket Creation: Accelerates the writing of acceptance criteria, freeing up time for other tasks.
  • Consistency Across Tickets: Ensures uniformity in acceptance criteria format across different tickets.
  • User-Friendly: Designed for both technical and non-technical users, simplifying ticket creation.

Guidelines for AI Acceptance Criteria Use

  • Users can generate acceptance criteria multiple times for each Zenhub issue, GitHub issue or Epic, tailoring them as needed.
  • AI AC generates criteria based on issue titles and descriptions in plain text.
  • For best practices in writing great user stories, visit Zenhub's guide on issue templates.

FAQ: AI Acceptance Criteria

Q: Can I edit the AI-generated acceptance criteria?

A: Yes, AI-generated criteria can be modified after generation to suit your specific needs.

Q: Is there a limit to generating acceptance criteria for an issue?

A: Users are limited to one attempt to generate Acceptance Criteria for each issue.

AI Suggested Labels


AI Suggested Labels applies AI to automate the labeling of issues, enhancing the labeling process for team members of all technical levels.

How to Use AI Suggested Labels

  • Activate AI Suggested Labels through the Zenhub settings.
  • The feature is triggered when adding titles or descriptions to issues.

Advantages of AI Suggested Labels

  • Time-Saving: Decreases the effort needed for manual label selection.
  • Broad User Accessibility: Useful for a diverse range of team members.
  • Adaptive AI Technology: Continuously improves for better label suggestion accuracy.

FAQ: AI Suggested Labels

Q: What does the AI analyze for label suggestions?

A: The AI uses the issue's content, including the title and description.


Q: What is sent to AI?
A: Zenhub AI will send the title, description, labels, templates, and other issue data to third-party AI vendors for the purpose of automatically categorizing work, generating content, automating actions, and analyzing data to provide insights to your teams. For details on the third-party AI vendors Zenhub uses (and their various data policies), see here: https://www.zenhub.com/vendor-services

Q: Is my data used for training?
A: No. Zenhub uses the OpenAI API. The OpenAI Data Privacy commitments can be found here: https://openai.com/enterprise-privacy