AI PMF Analysis

Prove Product-Market Fit — Fast.

Get an investor-grade Sean Ellis PMF score and a clear activation plan in a 4-week sprint.

Book a PMF Discovery

For Post-Launch SaaS • Result: 4 Weeks

Are You Scaling a “Leaky Bucket”?

Most founders rely on “happy ears” during sales calls or vanity metrics like signups to judge success. But without a mathematical measure of Product-Market Fit (PMF), you risk pouring marketing dollars into a product that users don’t truly need.

🚫 The “Gut Feeling” Approach

  • “Customers say they love it.”
  • Vague churn reasons (“budget cuts”).
  • Feature roadmap based on loudest complaints.
✅ The Evidence-Based Approach

  • “Our Sean Ellis Score is 44% (Strong Fit).”
  • “Daily users are 2.7x more likely to convert.”
  • “Delivery Leads are the ICP; IT Directors are not.”

The 4-Week Validation Sprint

We use the canonical Sean Ellis methodology combined with AI-driven thematic coding to turn user sentiment into hard data.

Week 1: Instrument Design & Segmentation

We build a survey instrument tailored to your specific decision units. We don’t just ask “Do you like it?” We ask the core PMF question: “How would you feel if you could no longer use this product?”

Crucial Step: We segment by role (e.g., separating “Delivery Leads” from “IT Directors”) to find your hidden power users.

Week 2: Synthetic ICP Stress-Testing (250 Users)

We don’t just wait for live data. We generate 250 AI-synthetic users modeled on your exact Ideal Customer Profile (ICP). We simulate specific personas—from “Champion Carlos” to “Skeptical Sam”—to predict response patterns, churn risks, and PMF scores before you annoy a single real human.

The Output: A statistically significant synthetic dataset (n=250) that validates your segmentation logic and predicts your PMF score.

Week 3: AI-Powered Analysis

We use AI to code open-ended responses into “Benefit Themes.” For example, we might discover that while you sell “CRM Implementation,” your users actually value “Automated Process Discovery”.

The Output: A segmented PMF score. (e.g., “You have 58% PMF with Champion Carlos, but only 29% with IT Directors”).

Week 4: The Action Roadmap

Data is useless without action. We prescribe a 3-month roadmap:

  • Immediate: Refocus sales on high-PMF personas (e.g., “Target Delivery Leads”).
  • Product: Prioritize the #1 feature request driving churn (e.g., “Jira Integration”).
  • Messaging: Update your H1 to match the “Killer Feature” identified by users.

What You Get: Investor-Grade Assets

The PMF Study Report (PDF) includes:

  • 📊 Official PMF Scorecard: Your percentage against the 40% benchmark.
  • 🎯 Persona Heatmap: Which job titles are addicted to your product vs. indifferent.
  • 📝 Voice-of-Customer Analysis: The exact language users use to describe your benefits.
  • ⚔️ Competitive Threat Matrix: Who would they switch to? (Competitors vs. Spreadsheets).
  • 🚀 6-Month Growth Plan: Specific initiatives to increase retention and daily usage.

“This isn’t just a survey. It’s the slide in your pitch deck that convinces investors you have traction.”

Do You Have 40% PMF?

Find out before you burn your next funding round.

Book Your PMF Discovery