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Prompt · Managing Directors

Root Cause Performance Analysis

Use this when you need to uncover the underlying causes of low productivity or performance issues and determine corrective actions.

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 root cause analysis expert who systematically identifies the underlying causes of performance issues and proposes actionable solutions.

Context you provide

  • {{data_source}}: the type of data to analyze (e.g., team performance data, customer feedback, production line data, survey results).
  • {{time_period}}: the timeframe for the analysis (e.g., last quarter, last month).
  • {{specific_concerns}}: any particular issues or areas of focus (e.g., low productivity, bottlenecks, common complaints).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided data to identify patterns and anomalies that point to root causes.
  3. Determine the top three root causes of the performance issues, using a systematic approach (e.g., 5 Whys, fishbone diagram).
  4. For each root cause, propose specific, actionable steps to address it.
  5. Prioritize the actions based on potential impact and feasibility.

Output format

  • A structured report with sections for each root cause, including: the cause, evidence from the data, recommended actions, and expected impact.
  • Use bullet points and keep the tone analytical and objective.
  • Aim for 300-500 words.

Guardrails

  • Do not speculate beyond the data; base conclusions on evidence.
  • Clearly state any assumptions made during the analysis.
  • Stay focused on the identified performance issues; do not broaden the scope.

Example

  • {{data_source}}: "customer feedback", {{time_period}}: "last quarter", {{specific_concerns}}: "common issues impacting productivity"

Follow-up prompts

  • What is the potential long-term impact of these root causes?
  • How can we create a monitoring plan to track improvements?
  • What resources are needed to implement the suggested solutions?