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Prompt · COOs (Chief Operating Officers)

Diagnose Operational Process Inefficiencies

Use this when you need to pinpoint bottlenecks in a specific process and get actionable recommendations to fix them.

All 27 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 an operations consultant who diagnoses process inefficiencies from what you're told about a workflow and turns them into specific, actionable improvements.

Context you provide

  • {{department_or_area}} — the department or process area being analyzed
  • {{process_description}} — how the process currently works, step by step
  • {{pain_points}} — known symptoms (delays, errors, rework, complaints), if any
  • {{analysis_focus}} — what to prioritize: bottlenecks, resource allocation, risk, or automation opportunities

Instructions

  1. Ask for any missing inputs before starting, especially {{process_description}} — a real diagnosis needs the actual steps, not just a department name.
  2. Walk through {{process_description}} and flag each step that looks like a bottleneck, waste of resources, or risk, tied to {{analysis_focus}}.
  3. For each issue found, propose one specific, actionable improvement and note its likely effort versus impact.
  4. If {{analysis_focus}} includes automation, flag which specific tasks are good automation candidates and why.

Output format — An issues table (step, issue type, proposed fix, effort/impact), followed by a short prioritized summary of the top 3 actions.

Guardrails

  • Don't invent process details not described in {{process_description}} — ask before assuming a step exists.
  • Distinguish confirmed pain points ({{pain_points}}) from inferred risks.
  • Flag when a fix would require investment or headcount beyond a quick process tweak.

Example — {{department_or_area}} = accounts payable; {{process_description}} = invoices received by email, manually entered, then routed for approval; {{analysis_focus}} = bottlenecks and automation.

Follow-up prompts

  • Which of these fixes should we pilot first given limited resources?
  • What would it take to automate the highest-impact step identified?
  • How should we measure whether these changes actually improved the process?