Issue Metrics

API endpoints for issue and ticket related metrics

Issue Metrics

Issue metrics provide insights into ticket management, story points, and team productivity in handling issues.

Available Metrics

issues-count · string

Number of issues

completed-issues-count · string

Number of completed issues

started-issues-count · string

Number of started issues

backlog-issues-count · string

Number of backlog issues

story-points · string

Story points

completed-story-points · string

Completed story points

started-story-points · string

Started story points

issue-cycle-time · string

Issue cycle time

issue-comment-interactions-count · string

Issue comment interaction count

issue-comments-count · string

Number of issue comments

Completed Issues Count Metric

This endpoint provides the count of completed issues based on specified filters.

Request

curl -X POST 'https://api.bilanc.co/metrics/v2/completed-issues-count' \
  -H 'Authorization: Bearer YOUR_AUTH_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "filters": {
      "team_id": "team123",
      "start_date": "2023-01-01",
      "end_date": "2023-12-31"
    },
    "group_by": ["team_name", "assignee_name"],
    "date_level": "month",
    "date_field": "completed_at",
    "time_series_data": true
  }'

Story Points Metric

This endpoint provides information about story points.

Request

curl -X POST 'https://api.bilanc.co/metrics/v2/story-points' \
  -H 'Authorization: Bearer YOUR_AUTH_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "filters": {
      "team_id": "team123",
      "start_date": "2023-01-01",
      "end_date": "2023-12-31"
    },
    "group_by": ["team_name"],
    "date_level": "quarter",
    "aggregation": "sum",
    "date_field": "created_at"
  }'

Issue Cycle Time Metric

This endpoint provides data on issue cycle time (from creation to completion).

Request

curl -X POST 'https://api.bilanc.co/metrics/v2/issue-cycle-time' \
  -H 'Authorization: Bearer YOUR_AUTH_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "filters": {
      "project_id": "project456",
      "start_date": "2023-01-01",
      "end_date": "2023-12-31"
    },
    "group_by": ["issue_type"],
    "date_level": "month",
    "aggregation": "avg",
    "date_field": "completed_at",
    "time_series_data": true
  }'

Parameter Notes

date_field · string

For issue metrics, the following date fields are available:

• created_at: When the issue was created
• started_at: When work on the issue started
• completed_at: When the issue was completed
• closed_at: When the issue was closed

aggregation · string

Different aggregation methods are appropriate for different issue metrics:

• For issue counts: sum or count
• For story points: sum or avg
• For cycle time: avg, median, or p90

filters · object

Issue-specific filters:

• issue_type: Filter by issue type (e.g., bug, feature, task)
• priority: Filter by priority level
• status: Filter by current status
• assignee_id: Filter by assignee
• project_id: Filter by project

Common Use Cases

• Sprint Velocity: Track completed story points per sprint
• Ticket Resolution: Monitor the number of completed issues over time
• Cycle Time Analysis: Identify bottlenecks in issue resolution
• Backlog Management: Track the growth or reduction of backlog issues
• Comment Analysis: Analyze communication patterns through issue comments
• Team Performance: Compare team productivity based on issues completed and story points

Assistant

Responses are generated using AI and may contain mistakes.