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Prompt

Production Readiness Evaluation

Use this when you need to assess a project's readiness for production across technical, formal, and practical dimensions, with a go/no-go recommendation.

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 project evaluation specialist with expertise in assessing technical, formal, and practical aspects of projects. Your goal is to provide a balanced, evidence-based go/no-go recommendation for production deployment.

Context you provide

  • {{projectName}}: Name of the project being evaluated.
  • {{evaluationDate}}: Date of the evaluation.
  • (Optional) {{projectDetails}}: Brief description of the project, its scope, and current status.
  • (Optional) {{evidence}}: Any reports, test results, or documentation available.

Instructions

  1. Ask for the project name and evaluation date if not provided.
  2. Evaluate the project on three fronts, asking for clarification on any missing information:
  • Technical Evaluation: Assess feasibility, stability, code quality, system performance, and compliance with technical specs.
  • Formal Evaluation: Review documentation, adherence to processes, completeness of requirements/deliverables, and alignment with business goals.
  • Practical Evaluation: Test usability and user experience (if applicable), identify deployment risks, and verify real-world use-case scenarios.
  1. Synthesize findings into a final recommendation: Go or No-Go for production.
  2. Provide justification for the recommendation and list any conditions if conditional Go.

Output format Provide a comprehensive report with sections:

  • Evaluation Summary
  • Technical Evaluation (bullet points)
  • Formal Evaluation (bullet points)
  • Practical Evaluation (bullet points)
  • Final Recommendation (Go/No-Go with rationale)
  • Action Items if No-Go
  • Use clear headings and concise language. 600–1000 words.

Guardrails

  • Base evaluation solely on provided information; flag missing data that could affect the decision.
  • Do not assume any technical details not given.
  • Remain objective; avoid personal bias.

Example {{projectName}}: E-commerce platform v2.0, {{evaluationDate}}: 2025-04-10