Resource & Effort Planning
Service overview
- Precise demand calculation based on user counts, roles, geographic distribution, and realistic training hour requirements
- Capacity modeling accounting for preparation time, travel, quality factors, and administrative overhead often forgotten
- Optimal resource mix strategy balancing internal trainers, external resources, and train-the-trainer approaches
- Transparent budget development with line-item detail, phasing, contingency planning, and assumption documentation
Key features
We begin with engineering-grade demand calculation—taking your user counts by role, required training hours per curriculum, geographic distribution, language requirements, and schedule constraints to calculate total training demand. This eliminates guesswork and provides defendable numbers for budget discussions.
Capacity modeling accounts for realities often forgotten in planning: trainer preparation time (often 2-3x delivery time), travel between locations, maximum effective daily training hours (quality degrades beyond 6 hours), required breaks, and administrative documentation. This reveals realistic effective training capacity per resource.
Demand Calculation
Capacity Analysis
Budget Transparency
General questions
Our models typically achieve 90-95% accuracy when provided good input data. We build in 15-20% contingency buffers for unknowns. Over dozens of projects, we've refined calculations to account for real-world factors most planning overlooks.
Often partially, rarely completely. Our capacity analysis reveals realistic availability considering day-job responsibilities, preparation time, and skill levels. Most organizations need a hybrid approach: internal for process/business context, external for technical depth or peak capacity.
Our resource models are dynamic and can be recalculated for different timeline scenarios. If your Go Live moves from June to August, we can immediately show revised resource requirements and cost implications, supporting leadership decision-making.
Industry benchmarks suggest 8-12% of total project cost for training (including resources, materials, logistics). However, this varies significantly by complexity, geography, and user count. Our analysis provides specific numbers for your situation rather than industry averages.
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