Purpose
The purpose of this framework is to define a simple, structured approach for allocating resources and planning capacity in the Service Delivery Department. Unlike enterprise environments with large teams and layered management, Memorres operates in a mid-scale IT context where each department may have only one or two resources. This creates unique challenges: individuals often juggle multiple roles, projects compete for the same people, and capacity gaps can directly impact client delivery.
This framework ensures that allocation decisions are not made ad hoc but follow a consistent method that balances client commitments, internal priorities, and resource well-being. By applying this structure, Memorres minimizes the risks of overloading individuals, missing deadlines, or underutilizing available capacity.
Capacity planning in this framework goes beyond hours and percentages. It emphasizes visibility—making sure both managers and team members understand where effort is going, what trade-offs exist, and how workload is distributed. This allows delivery teams to proactively manage expectations with clients and leadership rather than reacting to crises.
The framework is designed to remain lightweight. Instead of complex enterprise-level systems, it relies on practical tools like ClickUp, Harvest, and simple weekly trackers to provide the data needed for informed decisions. It focuses on answering three essential questions:
- Who is available to work?
- How much capacity do they realistically have?
- How should that capacity be allocated across active and upcoming projects?
By answering these consistently, Memorres strengthens delivery predictability, avoids burnout in small teams, and upholds its consulting-first approach—making sure every client engagement is supported by disciplined planning, not guesswork.
Scope
This framework applies to all resources engaged in the Service Delivery Department, including developers, designers, QA specialists, and project managers. It covers both full-time employees and contract/freelance contributors who are assigned to client-facing or internal projects. The framework ensures that every individual’s availability and workload are reviewed systematically before committing to new tasks or projects.
The scope includes two dimensions: resource allocation and capacity planning. Resource allocation refers to assigning individuals to specific projects, tasks, or deliverables. Capacity planning involves assessing how much time a resource can realistically dedicate, factoring in billable and non-billable work, planned leave, and other ongoing commitments. Together, these dimensions ensure that work is distributed fairly and sustainably.
This framework applies equally to small and large projects. Whether a resource is working on a single short-term engagement or spread across multiple long-term projects, the same principles apply: capacity must be measured, and allocation must be intentional. For client-facing projects, the framework ensures commitments are realistic and communicated transparently. For internal projects, it prevents delivery teams from deprioritizing important non-billable work such as documentation or knowledge contributions.
Geographically, the framework covers all regions where Memorres operates—India, Australia, and Ireland. The standards remain uniform regardless of location, ensuring that distributed or remote contributors are planned with the same rigor as in-office staff.
Excluded from this scope are non-delivery functions such as HR, Finance, or Sales, which have separate workload planning processes. This framework is strictly focused on service delivery roles where capacity directly impacts client commitments.
By defining this scope, Memorres ensures that allocation decisions are transparent, workloads are sustainable, and project timelines are predictable. This avoids both underutilization of resources and overcommitment, supporting consistent delivery excellence in a lean team environment.
Definitions
To establish a shared understanding, the following terms are defined within the context of this framework. These definitions provide the foundation for consistent planning and decision-making.
| Term | Definition | Example |
| Resource Allocation | The assignment of a specific individual to a project, task, or deliverable. | A developer allocated 20 hours per week to Project Alpha. |
| Capacity | The total number of hours a resource is available for work in a given period, considering working hours and planned leave. | 40 hours per week standard, reduced to 32 hours due to 1-day leave. |
| Billable % | The portion of a resource’s time dedicated to client-facing, revenue-generating work. | 75% billable (client work), 25% non-billable (training, documentation). |
| Utilization | The actual percentage of capacity spent on productive, logged work (billable + non-billable). | Resource logged 36 out of 40 available hours → 90% utilization. |
| Buffer | Reserved capacity left unallocated to handle unforeseen issues, support, or urgent tasks. | Keeping 2 hours per week unallocated for ad hoc client requests. |
| Overload | Allocation beyond available capacity, which risks quality, timelines, or resource well-being. | A QA assigned 45 hours of work in a 40-hour week. |
Narrative Explanation
Resource Allocation ensures visibility into who is working on what, preventing overlaps or conflicts. Capacity grounds this allocation in realistic availability, factoring in holidays, part-time schedules, or personal constraints. Billable % distinguishes client work from internal contributions, ensuring that revenue targets are met without neglecting operational needs.
Utilization measures how effectively capacity is being used, providing insights for performance management and future planning. Buffer is a deliberate safeguard, particularly critical in lean teams, to absorb unexpected requests without disrupting delivery. Overload is explicitly defined so that managers can recognize and avoid situations that compromise both output and well-being.
By aligning on these definitions, Memorres ensures that planning is transparent, fair, and sustainable across all delivery roles.
Framework / Process
Resource allocation and capacity planning at Memorres follow a lightweight but disciplined process. The goal is to make workload distribution transparent and sustainable without introducing enterprise-level complexity. The table below outlines the key steps, responsible roles, and expected outcomes.
| Step No. | Action | Responsible Role | Expected Outcome |
| 1 | Identify active and upcoming projects with estimated effort needs. | Project Manager | Clear view of work demand across all projects. |
| 2 | Review each resource’s total weekly capacity (adjusted for leave/availability). | Delivery Manager | Accurate baseline of hours available for allocation. |
| 3 | Allocate resources to projects, prioritizing client commitments first, then internal initiatives. | Delivery Manager / PM | Resources assigned based on priority and contractual obligations. |
| 4 | Distribute hours across billable and non-billable tasks, ensuring a balanced mix. | Project Manager | Avoids neglecting important non-billable work such as documentation or training. |
| 5 | Leave buffer capacity unallocated (5–10%) to manage ad hoc or urgent work. | Delivery Manager | Prevents overload and creates flexibility in lean teams. |
| 6 | Record allocations in the Weekly Resource Allocation Tracker. | Project Manager | Transparent record for leadership and team members. |
| 7 | Monitor actual utilization via Harvest logs and compare against plan. | Delivery Manager | Early detection of under/overutilization. |
| 8 | Review allocations weekly in sync meetings and adjust as needed. | Delivery Manager / PM | Continuous alignment of capacity with evolving project needs. |
Narrative Explanation
The process begins with a demand view—understanding all project requirements upfront. This prevents surprises when new tasks emerge mid-week. Resource capacity is then reviewed individually, factoring in real availability. Client commitments are always prioritized first, with internal projects slotted in where capacity permits.
Allocations are intentionally balanced between billable and non-billable tasks, recognizing that small teams cannot afford to neglect operational or growth activities. A buffer of 5–10% is always preserved to handle urgent issues without derailing planned commitments.
Weekly allocations are documented in a simple tracker, visible to all stakeholders. Actual utilization is monitored using Harvest logs to ensure that plans align with reality. Finally, allocations are revisited every week, acknowledging that in lean teams, priorities can shift rapidly and must be managed dynamically.
This lightweight process ensures predictability for clients, fairness for resources, and clarity for managers—all while remaining efficient for small delivery teams.
Closing Note & Cross-References
This framework ensures that resources are allocated fairly, capacity is planned realistically, and projects run without last-minute surprises. By keeping the process lightweight, Memorres balances client commitments with resource well-being in lean teams.
It connects directly with the Weekly Resource Allocation Tracker Template for recording allocations, the Workload Balance & Overtime Policy for managing limits, and the Weekly Execution Status Report Template for reviewing outcomes against planned capacity.