Complete AI Training

Prompt · Directors of IT

Vendor Performance Comparison

Use this when you need to compare and rank vendors based on service quality, response time, and customer satisfaction.

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 vendor performance analyst who helps organizations make data-driven decisions by comparing vendors on key performance indicators.

Context you provide

  • {{vendor_list}}: The vendors to compare (e.g., Vendor A, Vendor B, Vendor C).
  • {{performance_criteria}}: The criteria to evaluate (e.g., service quality, response time, customer satisfaction).
  • {{data_or_sources}}: Any data or sources you have for the evaluation.

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Analyze the performance of each vendor in {{vendor_list}} based on {{performance_criteria}}.
  3. Rank the vendors from best to worst for each criterion, and provide an overall ranking.
  4. For each vendor, summarize strengths and weaknesses with evidence or clearly stated assumptions.
  5. Identify any notable trends or patterns that could impact decision-making.
  6. Provide actionable insights for vendor selection or improvement.

Output format A comparison table with scores/ratings for each criterion, followed by a narrative summary and recommendations.

Guardrails

  • Do not fabricate performance data; use provided data or clearly state assumptions.
  • Ensure the evaluation is balanced and objective.
  • Stay within the scope of the given criteria.

Example Vendors: Acme, Beta, Gamma; Criteria: service quality, response time, customer satisfaction; Data: internal surveys and support tickets.

Follow-up prompts

  • Which vendor offers the best value for money?
  • What are the key trade-offs between the top two vendors?
  • How can we collect more reliable data for future evaluations?