Hire capacity BI for service companies with available hours, demand, rework and queues, linking analysis to staffing and deadline decisions.
Index
A team can appear busy and still have poorly distributed capacity. Another may show free hours because the record is incomplete. Operational BI needs to separate availability, work done and waiting demand, before guiding hiring or deadline promises.
Decision this guide helps you make: Scale service delivery with a coherent view of load and availability.
Define usable capacity
Consider working hours, absences, internal activities and specialties. Not every contracted hour can be sold or allocated to the same task. Document assumptions and allow for review. An aggregate team number can hide the lack of a specific skill that blocks the entire flow.
Differentiate execution and rework
Time records must have categories that help understand causes without making completion unfeasible. Separate planned delivery, correction, waiting, and support when it makes sense. The objective is not to monitor every minute, but to identify where the operation loses predictability and what changes can help.
Connect queue and business appointment
Show accepted, estimated and still under negotiation demand separately. The commercial needs to know the limits of the forecast before promising a date. Changes in scope and priority should appear in the analysis. An integration with CRM or project management can reduce transcription, as long as the concepts are aligned.
Compare prediction and realization
Evaluate periods and types of service to understand deviations. Do not transform an estimate into an individual goal without considering complexity and dependencies. The panel must support decisions such as redistributing work, adjusting supply or hiring a skill. Responsibility for these choices remains with management.
- Capacity by competence and period.
- Confirmed demand separated from probable demand.
- Deviations discussed with operational context.
A scenario to check out in the demo
Hypothetical example: the team has hours available, but all new demands require a busy specialty. An aggregated panel would suggest accepting more work. The analysis by competence must show the bottleneck and its effect on deadlines. The decision may be to redeploy, train or hire specific support, rather than indiscriminately expanding the workforce.
Briefing to request a proposal
- Skills required to perform each type of service.
- Sources of availability, queue and work performed.
- Planning decision that will be made with the panel.
Choose a recurring decision
Quantum9 can start with weekly planning or a line of services. Bring existing agenda sources, projects and notes. Delivery must make the decision clearer and more verifiable, without requiring a greater volume of registration than the benefit generated.
Discover the scope of Data and BI for management and deepen the context in related guide.