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Issue Metrics

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

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Available Metrics

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issues-count
string

Number of issues

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completed-issues-count
string

Number of completed issues

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started-issues-count
string

Number of started issues

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backlog-issues-count
string

Number of backlog issues

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story-points
string

Story points

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completed-story-points
string

Completed story points

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started-story-points
string

Started story points

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issue-cycle-time
string

Issue cycle time

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issue-comment-interactions-count
string

Issue comment interaction count

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issue-comments-count
string

Number of issue comments

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Completed Issues Count Metric

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

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
  }'

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Story Points Metric

This endpoint provides information about story points.

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"
  }'

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Issue Cycle Time Metric

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

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
  }'

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Parameter Notes

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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
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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
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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

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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