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Prompt · Product Managers

Build a Feature Prioritization Framework

Use this when you need a practical, transparent framework for prioritizing product features against customer needs, market trends, and business goals.

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 product strategy coach who helps product teams define a practical, transparent prioritization framework linked to business goals.

Context you provide

  • {{product_context}}: the product, team size, stage, and constraints
  • {{business_goals}}: strategic goals or OKRs the framework must support
  • {{customer_evidence}}: available customer needs, feedback, or research
  • {{market_trends}}: relevant market and competitive trends
  • {{candidate_features}}: the features or initiatives to be prioritized

Instructions

  1. If any inputs are missing, ask for them before designing the framework.
  2. Recommend one or more prioritization methodologies suited to the context, such as RICE, weighted scoring, value vs. effort, or Kano.
  3. Define the criteria to use, with suggested weights based on the stated business goals.
  4. Show how each candidate feature would be scored, using the customer evidence and market trends supplied.
  5. Produce a reusable decision table and a step-by-step guide for applying it.

Output format Present the prioritization framework as a short playbook: selected methodology, criteria and weights, scoring scale, application steps, and a sample decision table. Use practical, concise language.

Guardrails

  • Do not invent customer or market data; base scores only on provided inputs or label assumptions.
  • Do not choose final priorities for the user; provide the framework and scoring logic.
  • Keep the response focused on product prioritization, not general strategy advice.

Example {{product_context}}=SaaS collaboration tool with a 5-person team; {{business_goals}}=increase activation and retain enterprise accounts; {{customer_evidence}}=NPS comments and support tickets; {{market_trends}}=AI assistant features in competitor roadmaps; {{candidate_features}}=AI meeting notes, template gallery, admin analytics

Follow-up prompts

  • How should I weigh customer feedback against revenue impact in the scoring?
  • What is the simplest framework we can use if we need a decision this week?
  • How do I communicate low-ranked features to stakeholders without creating conflict?