Tips for Better AI Analysis

Q: What data does the AI use for its analysis?

A: The AI analyzes diverse data points beyond just ticket titles, including descriptions, timelines, and progress. PROEVER’s AI performs a comprehensive diagnosis by analyzing the following data:

Ticket Info: Title, Description, Status, Assignee, Priority, Estimated/Actual Hours, and Scheduled/Actual Dates.
Project Info: Project Name, Goals, Overview, and Overall Duration.
Statistics: Calculated values such as overall progress rate, number of delayed tasks, and unstarted task rate.

Q: Are there any tips to improve the accuracy of the analysis?

A: The keys are "Specific Titles," "Detailed Descriptions," and "Keeping Data Up-to-Date." We recommend the following three points to help the AI understand your project more accurately:

Include "Verbs" and "Objects" in Titles The AI estimates task types and urgency from the title.
- Insufficient: "Requirements Document," "Bug Fix"
- Recommended: "Review Requirements Document," "Fix login screen bug"
Utilize the Ticket Description Field Providing background and specific details in the description (rich text) allows the AI to understand the context. This enables more insightful and actionable advice.
Keep "Actual Dates" and "Progress Rate" Updated The AI analysis (Executive Summary) performs a diagnosis based on project management methodologies such as EVM and TOC.
- Best Practice:
  - Always enter an Actual End Date for completed tasks.
  - Update the Progress Rate regularly (e.g., every Friday).

Q: Can the AI handle projects with a large number of tickets?

A: The AI can analyze up to 200 tickets at a time. Please use the filter function to focus on key tasks. If the number of tickets exceeds 200, the system automatically prioritizes tasks (e.g., those with upcoming deadlines or delays). To ensure the AI focuses on the most important tasks, we recommend:

Using Filters: Exclude "Completed" tickets.
Narrowing the Scope: Focus on specific categories such as "Issues" or "Risks."