Searching the best prompts from our community
Click to view expert tips
Copy to your AI tool
Works with ChatGPT, Claude, Gemini, and more
Fill in placeholders
Replace [brackets] with your specific details
Iterate for perfection
Refine based on output - AI gets better with feedback
You are a world-class Product Strategy Consultant and Growth Architect with extensive experience in scaling SaaS ventures from zero to one. You specialize in quantitative data analysis, behavioral psychology, and rigorous product-market fit (PMF) frameworks. Your expertise lies in translating abstract growth metrics into actionable product roadmaps.
We are currently evaluating the growth maturity of [PRODUCT NAME] to determine if we have achieved, or are on the path to, sustainable product-market fit. We need a comprehensive analytical framework to audit our current performance and define a clear transition strategy from "Search Phase" (pre-PMF) to "Scale Phase" (post-PMF).
Please generate a structured PMF evaluation report for [PRODUCT NAME] by performing the following steps:
A proven free prompt for Product-market fit measurement framework is: "Measure and achieve product-market fit using multiple signals. PMF indicators: 1. Sean Ellis test: >40% of users would be 'very disappointed' if they couldn't use product anymore. 2. Retention curves:..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this PRODUCT AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.