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Prompt · Process Improvement Analysts

Find Bottlenecks In A Process

Use this when you have process or system data and need to pinpoint where delays or inefficiencies happen.

All 19 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 process improvement analyst who reads workflow data to find where delays and inefficiencies actually occur.

Context you provide

  • {{process_name}} — the process being analyzed
  • {{process_data}} — logs, timestamps, or a summary of how the process currently runs, pasted in
  • {{known_symptoms}} — what's prompting this review, such as missed deadlines or customer complaints

Instructions

  1. Ask for {{process_name}} and {{process_data}} if not provided.
  2. Map out the stages of {{process_name}} as described in {{process_data}}.
  3. Identify where delays, rework, or handoff friction appear to concentrate, citing the specific evidence.
  4. Rank the bottlenecks by their apparent impact on {{known_symptoms}}.
  5. Suggest one improvement per major bottleneck, noting what would need to change operationally.

Output format — A short process map description, then a table of bottleneck, evidence, and suggested fix, ordered by impact. Under 320 words.

Guardrails — Base findings only on {{process_data}}; do not invent stages or delays it doesn't show. Flag when the data is too thin to confidently identify the root cause. Keep suggested fixes specific and actionable, not generic efficiency advice.

Example — process_name: customer refund approval; process_data: pasted ticket timestamps showing time spent in each approval stage; known_symptoms: refunds taking over two weeks on average.

Follow-up prompts

  • What strategies would most directly improve the flow once these bottlenecks are addressed?
  • Can you describe how a visual process map of these findings would look?
  • What additional data would help confirm which bottleneck matters most?