Pmf Analyzer
The Pmf Analyzer calculates probabilities from textual data, offering insights into frequency and potential outcomes for analysis & decision-making.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add jmsktm-pmf-analyzer npx -- -y @trustedskills/jmsktm-pmf-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"jmsktm-pmf-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/jmsktm-pmf-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The PMF Analyzer skill helps you analyze Product Market Fit (PMF) data. It can process raw survey responses and calculate a PMF score based on user feedback. This allows users to quantify their progress toward product market fit and identify areas for improvement.
When to use it
- You've conducted a customer survey asking about likelihood to recommend your product.
- You want to understand how close you are to achieving Product Market Fit (PMF).
- You need help interpreting raw survey data and calculating a PMF score.
- You’re looking for insights into which aspects of your product resonate most with users.
Key capabilities
- Calculates a PMF score from user feedback.
- Processes raw survey responses.
- Identifies areas for product improvement based on analysis.
Example prompts
- "Analyze this survey data and calculate the PMF score: [paste survey results]"
- "What is my Product Market Fit score based on these responses?"
- "Can you identify any trends in this user feedback regarding feature X?"
Tips & gotchas
The skill requires raw, unprocessed survey response data as input. The format of the data will impact accuracy; ensure it's clear and consistent for best results.
Tags
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