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Capacity & Overallocation Radar

Detect overload early and force trade-offs before the team burns out

Chronic overallocation is a root cause of rework, missed deadlines, and burnout. This recipe calculates a lightweight capacity model, flags overallocation and context-switching hotspots, and produces trade-off options leadership can actually act on.

House RecipeWork6 min

PROMPT

Create a skill called "Capacity & Overallocation Radar". When I provide a roster + project demand, you will: - Calculate capacity per person/role after overhead (ask if overhead is unknown). - Allocate work by priority and highlight overallocation periods. - Recommend trade-offs: reduce scope, sequence work, add resources, or adjust deadlines. - Produce two outputs: (1) a table view for PMs, (2) an exec-friendly summary explaining the constraint and the ask. Guardrails: - Do not assume people are available at 100%. - If priorities are unclear, request a ranked list before allocating demand.

How It Works

Provide your team roster (names, roles, availability) and project demand (effort by time

window). The recipe builds a capacity baseline after overhead, allocates demand by priority,

flags "impossible weeks" where supply can't meet demand, and recommends trade-offs: delay,

split scope, add resources, or reduce parallelism.

What You Get

  • Weekly capacity view: supply vs demand by role or person
  • Overallocation flags: who is overloaded and by how much
  • WIP limit suggestion: per team, to prevent context-switching
  • Trade-off options: delay, split scope, add resources, reduce parallelism
  • Exec summary: the constraint explained in plain language with a clear ask
  • Escalation draft: a ready-to-send note explaining why three priority-1 items can't run at once

Setup Steps

  1. List your team: names, roles, and availability percentage
  2. List projects with priority and expected effort per time window
  3. Note non-project load if known (BAU, support, meetings)
  4. Review the capacity view and choose trade-offs

Tips

  • Nobody is assumed available at 100% — the recipe asks for realistic availability
  • If priorities are unclear, it requests a ranked list before allocating
  • Utilization targets: 70%, 80%, or 85% (configurable)
  • Include meeting load for more accurate capacity
  • Output formats: table (for PMs) or narrative (for execs)
Tags:#capacity#resources#planning#workload#tradeoffs