Overview

Sierra Agility’s “Spark” artificial intelligence feature helps users generate tasks efficiently using AI. This functionality allows for the automatic creation of tasks from a product backlog item, leveraging the power of artificial intelligence to streamline your workflow and ensure that all necessary tasks are accounted for.

How to Use Spark for Task Generation

Step-by-Step Instructions

1. Access the Task Board
   • Navigate to the task board within Sierra Agility where you manage your product backlog items.
2. Select a Product Backlog Item
   • Choose the product backlog item for which you want to generate tasks.
3. Add Tasks Using Spark
   • Click on the “Add Task” button associated with the selected backlog item.
   • In the dropdown menu that appears, select “Let Spark Add Tasks.”
4. Wait for Task Generation
   • Spark will take a few seconds to process your request.
   • During this time, Spark will read through the backlog item and its associated acceptance criteria.
5. Review Generated Tasks
   • Once Spark has completed its task generation process, it will add between 1 and 20 tasks to your backlog item.
   • Review the generated tasks to ensure they align with your expectations and make any necessary adjustments.

How Spark Works

Understanding the AI Task Generation

Spark, the AI feature within Sierra Agility, uses advanced algorithms to understand the requirements of your backlog item and acceptance criteria. Here’s how it works:

• Reading Backlog Items: Spark scans the content of the selected product backlog item to understand the core objectives and requirements.
• Interpreting Acceptance Criteria: It also considers the acceptance criteria to ensure that the generated tasks meet the specified conditions for completion.
• Applying DONEness Definition: Spark uses a built-in definition of DONEness to ensure that all generated tasks adhere to a standard of completeness and quality.

Benefits of Using Spark

• Efficiency: Save time by letting Spark handle the task generation process.
• Comprehensiveness: Ensure all necessary tasks are covered, reducing the risk of missing critical steps.
• Consistency: Maintain a consistent standard of task quality with Spark’s built-in DONEness definition.

Tips for Optimal Use

• Provide Clear Acceptance Criteria: The more detailed and clear your acceptance criteria, the better Spark can generate relevant and accurate tasks.
• Review Generated Tasks: Always review the tasks generated by Spark to ensure they align with your project needs and make any necessary adjustments.
• Use Regularly: Incorporate Spark into your regular workflow to continually benefit from its efficiency and thoroughness.

By leveraging Spark for AI task generation, you can enhance your productivity and ensure a comprehensive approach to task management within Sierra Agility.