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Analyze Capacity

The capacity analyzer helps you interpret the loading of your organization (team) at first glance. The graph shows all planned workload per quarter, month or week. There are three different statuses of your capacity:

Available to promise (ATP) is the available capacity minus the planned workload for a specific period. According to the planning there is capacity to do other work as you have spare capacity.

On time indicates that the workload is planned before the requested finish. (e.g. W52 is requested finish, workload is planned before W52).

Late indicates that the workload is planned after the requested finish date. (e.g. W52 is requested finish, workload is planned after W52).

The capacity balance

Different situations

1. The ideal situation

Everything planned is on time and some capacity is available to promise (ATP) per time period

  • All demand can be planned on time.
  • Not all team capacity is used to absorb demand, there is still capacity available for other demand.

Tip: the ideal amount of ATP depends on the situation. Teams that receive lots of unexpected demand need more ATP, where teams with predictable demand need less. Typical ideal ATP for predictable environments = 10%.

2. Fully loaded

  • All team capacity is used to absorb demand.
  • All demand can be planned on time.

3. Workload planned on time and late

  • All team capacity is used to absorb demand.
  • Not all demand can be planned on time.

    Possible reasons: Not enough capacity or too much demand.

    Possible solutions: Increase team capacity (increase P%, share team members, add team members) or change demand (postpone demand, reduce demand, change demand priority).

4. Not fully loaded but some demand planned late (late, on time & ATP in one bar)

  • Not all team capacity is used to absorb demand.
  • Not all demand can be planned on time.

    Possible reasons:

    • Enough team members, but lack of competences to meet the demand.
    • Weekly demand exceeds the maximum runs per week.
    • Requested time slot is smaller than the lead time, it is impossible to deliver within the requested time slot (e.g. requested time slot is 2 weeks, but lead time is 3 weeks).

    Possible solution:

    • Spread requested timeslot to make it equal to or bigger than the lead time.
    • Train team members to increase number of competent team members.

The special case: negative workload (bar below the horizontal axis)

If you run an unconstrained analysis.

  • Competences and availability of the team members are not taken into account, you assume you have unlimited capacity.

    E.g: You have 8 team members available, the demanded workload requires 10 team members, than the workload will be planned for 10 team members. In the capacity graph the 8 available team members are projected above the vertical-axis, while the 2 extra planned are projected below the horizontal-axis.

  • You take into account the maximum runs/tests per week. You can detect if items are delivered to late due to constraint on maximum runs per week.

Remark: it is important that the demand is kept up to date, demand shouldn’t be piled up.

You can choose to view the capacity of your team or a group of teams by clicking the organization and selecting your team (group of teams) in the dropdown menu.