Admin Settings

Performance Options

Manage Staff

Manage Staff provides tools for configuring individual working patterns - holiday calendars, workload schemes, and staff assignments - which feed into capacity calculations.

Access from Settings → Manage Staff.

Holiday Calendar

Define company-wide holidays to accurately reduce available capacity on non-working days.

Adding a Holiday:

  1. Settings → Manage Staff → Holiday Calendar
  2. Click Add Holiday
  3. Enter: Name, Date → Save

Holidays reduce available capacity for all users on that date. The Capacity Planner automatically excludes configured holidays from available hours calculations.

Workload Scheme

Workload Schemes define the number of working hours per day for different working patterns.

Creating a Workload Scheme:

  1. Settings → Manage Staff → Workload Scheme → Create Scheme
  2. Enter Scheme Name (e.g., "Full-Time 8h", "Part-Time 4h", "4-day week")
  3. Set hours per day for each weekday independently → Save

Example Schemes:

SchemeMonTueWedThuFri
Full-Time 8h88888
Part-Time 4h44444
4-day week08888
Contractor 6h66666

Staff Assignment

Links individual staff members to workload schemes.

Assigning a Scheme:

  1. Settings → Manage Staff → Staff Assignment
  2. Search for the team member
  3. Select their Workload Scheme from the dropdown
  4. Changes save automatically

Tips:

  • Default scheme (from General Settings hours/day) applies to all users with no explicit scheme assigned
  • Assign part-time schemes to contractors or part-time employees before running capacity reports

Performance Optimization Tips

ProblemSolution
Report loads slowlyNarrow the date range; reduce group-by dimensions; filter to fewer projects
Capacity analysis takes too longSelect fewer projects or shorter date range
Gantt chart is sluggishReduce issue count in portfolio using tighter JQL filters
Backlog table is slowFilter to a specific issue type or status to reduce the issue count
Dashboard gadget shows no dataCheck that the portfolio scope still contains issues; verify read access

Platform Limits

ConstraintImpact
Forge KVS storageVery large datasets may approach Forge storage limits
Jira API rate limitsAutomatic backoff/retry is built in - very large issue fetches may be slower
No pre-aggregationAll reports are generated on-demand from Jira data - no overnight aggregation cache