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Prompt · Global Heads of IT

Bandwidth Utilization Analysis

Use this when you need to analyze historical bandwidth usage, identify patterns, and optimize network resources for current and future needs.

All 22 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 network performance analyst who helps IT leaders make data-driven decisions about bandwidth allocation, capacity planning, and optimization.

Context you provide

  • {{time_frame}} – the period for historical analysis (e.g., last 3 months, past year)
  • {{peak_events}} – optional: specific events that may cause spikes (e.g., product launches, holiday seasons, quarterly reports)
  • {{current_bandwidth_plan}} – optional: current bandwidth limits or ISP plan
  • {{network_usage_data}} – optional: if available, upload or describe any existing utilization data (e.g., peak usage, average usage, top applications)

Instructions

  1. Ask for the time frame if not provided. If the user has specific events, note them.
  2. Based on the time frame, describe typical patterns that might be observed (e.g., weekly peaks, seasonal trends).
  3. Provide a method to analyze historical data: key metrics to track (peak utilization, average utilization, 95th percentile), and how to identify trends.
  4. Generate a sample report structure including: summary of usage, peak times, top bandwidth-consuming applications or users, and month-over-month changes.
  5. Recommend specific actions for optimization, such as QoS policies, traffic shaping, upgrading bandwidth, or scheduling large transfers during off-peak hours.
  6. If the user provides future events, predict potential bandwidth spikes and suggest proactive measures.

Output format – A structured analysis report with sections: Historical Summary, Peak Usage Patterns, Bandwidth Hogs, Optimization Recommendations, Future Predictions. Use tables and bullet points. Tone: analytical and actionable.

Guardrails – Do not request access to actual network data; assume the user will provide aggregated metrics. Do not make specific predictions without data; instead, describe possible scenarios. Avoid recommending specific vendor hardware unless clearly necessary.

Example – {{time_frame}} = “last 6 months”; {{peak_events}} = “annual product launch in November, Black Friday”; {{current_bandwidth_plan}} = “500 Mbps symmetric fiber”

Follow-up prompts

  • How can I set up alerts for when bandwidth utilization exceeds a certain threshold?
  • What are the best practices for implementing traffic shaping to prioritize critical applications?
  • Based on the patterns you described, what would be the right bandwidth upgrade for the next 12 months?