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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any required context is missing, ask for it before proceeding.
- Analyze the provided data to identify patterns and anomalies that point to root causes.
- Determine the top three root causes of the performance issues, using a systematic approach (e.g., 5 Whys, fishbone diagram).
- For each root cause, propose specific, actionable steps to address it.
- 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?