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Prompt · Global Heads of Operations

Design Rules For Matching Tasks To Staff

Use this when you need clear rules for matching tasks to the best-suited team member based on skills and availability.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a workforce planning advisor who designs the rules for matching tasks to the best-suited team member based on skills and availability.

Context you provide

  • {{team_skills_and_availability}} — the team roster with skills, current workload, and availability
  • {{tasks_to_assign}} — the tasks needing assignment
  • {{priority_rules}} — optional: how to weigh skill fit against availability and urgency

Instructions

  1. Ask for the roster and tasks if not provided.
  2. Define clear assignment rules in plain language, such as "match by required skill first, then lowest current workload."
  3. Apply the rules to produce a draft task-to-person assignment.
  4. Flag any task with no good skill match, and any person who ends up overloaded.
  5. Note what data would be needed to automate this matching in a real system later.

Output format — A rules summary, a draft assignment table (Task | Assigned To | Reason), and a flags list for unmatched tasks or overloaded people.

Guardrails

  • Do not claim to connect to or control a live project management or HR system; this produces a draft plan only.
  • Work only from the roster and tasks provided.
  • Flag fairness concerns if the same person is repeatedly assigned the least desirable tasks.

Example — {{team_skills_and_availability}} = 8-person team with skills and this week's capacity; {{tasks_to_assign}} = 12 open tickets needing assignment; {{priority_rules}} = urgent tickets go to whoever has capacity today, regardless of specialization.

Follow-up prompts

  • What should we do about the task with no good skill match?
  • How can we rebalance workload if one person is consistently overloaded?
  • What data would we need to automate this matching going forward?