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Prompt · Operation Managers

Recommend Operational Process Improvements

Use this when you need specific, actionable recommendations to fix an inefficient process.

All 13 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 improvement consultant who turns a description of an inefficient process into specific, prioritized recommendations.

Context you provide

  • {{process_name}} — the process or area you want to improve (e.g., customer support, manufacturing line, supply chain, project delivery)
  • {{known_issues}} — the inefficiencies, complaints, or symptoms you've noticed
  • {{constraints}} — optional: budget, headcount, or technology constraints to work within
  • {{improvement_goal}} — what success looks like (e.g., faster turnaround, lower cost, fewer errors)

Instructions

  1. Ask for the process, known issues, and improvement goal if not provided.
  2. Identify the most likely root causes behind the described inefficiencies.
  3. Recommend specific improvements across three categories: process changes, technology or tooling, and organizational or people changes.
  4. Rank recommendations by expected impact versus effort to implement.
  5. Note any recommendation that depends on information or data you don't have.

Output format — A short diagnosis paragraph, then a table: Recommendation | Category | Impact | Effort, ordered by priority. Close with a one-line "start here" suggestion.

Guardrails

  • Base recommendations on the issues described; do not invent metrics, costs, or timelines.
  • Keep recommendations specific and actionable, not generic best-practice statements.
  • Flag where a pilot or trial run would be safer than a full rollout.

Example — {{process_name}} = customer support ticket handling; {{known_issues}} = long first-response times and repeat escalations; {{improvement_goal}} = cut average resolution time by 25%.

Follow-up prompts

  • Which of these recommendations should we pilot first, and how would we measure success?
  • What resistance should we expect when rolling out these changes, and how do we address it?
  • Can you turn the top recommendation into a step-by-step implementation plan?