AI-Accelerated PMF & Pricing Studies

Validating your Ideal Customer Profile (ICP), confirming product–market fit (PMF), and identifying the right pricing strategy are three of the most critical challenges for bootstrapped and early-stage SaaS founders. Traditional approaches often take too long, cost too much, and leave you with incomplete data. Our hybrid AI-accelerated consulting approach solves this by combining synthetic data generation with targeted in-depth interviews. You get fast, directional insights from AI-driven surveys, validated by real conversations with high-fit prospects. The outcome is an investor-grade analysis of your ICP, PMF, and pricing that reduces risk and accelerates growth. This service is delivered in five structured phases, ensuring both breadth and credibility.

Phases:

Phase 1: Discovery & ICP/Persona Definition
Phase 2: Synthetic Data Generation & Prospect Identification
Phase 3: AI-Simulated PMF & Pricing Analysis
Phase 4: Hybrid Validation Interviews
Phase 5: Final Recommendations & Handoff

Phase 1: Discovery & ICP/Persona Definition

In this first stage we clarify exactly who your best-fit customers are. We start with a structured workshop and review of your existing materials—sales decks, CRM data, product documentation, and founder insights.

Our goal is to turn assumptions into testable hypotheses. By the end of this phase, you’ll have a clear, documented profile of your target buyer segments, including firmographics, demographics, roles, and pain points. This foundation prepares your team for accurate PMF testing and pricing analysis.

Conduct kickoff workshop with founders and product leads
Review existing decks, CRM data, and product documentation
Summarize assumptions about customers and value propositions
Develop refined ICP schema (firmographic/demographic dimensions)
Create buyer persona profiles for decision-makers and influencers

Phase 2: Synthetic Data Generation & Prospect Identification

In this phase, we generate a synthetic dataset that mirrors your ICP distribution. Using AI simulation, we model personas across industries, roles, and geographies.

Next, we enrich firmographic data for 200 companies and identify the 50 that best fit your ICP. These are your high-priority near-term prospects. By blending synthetic cohorts with enriched firmographics, you get both wide testing coverage and a curated set of real companies for deeper validation.

Design synthetic population parameters (size, sector, seniority)
Generate 200–500 AI-driven synthetic respondent profiles
Source and enrich 200 firms with firmographic/demographic data
Down-select 50 high-fit prospect firms that match the ICP
Create a firm + persona deck summarizing opportunities

Phase 3: AI-Simulated PMF & Pricing Analysis

Here we put your ICP and personas to the test. A Sean Ellis PMF survey is deployed to measure how disappointed buyers would be if your product disappeared. This uncovers product-market fit and must-have features.

In parallel, we run a Gabor-Granger study to test 4–5 price points. This produces a demand curve, revenue estimates, and price sensitivity analysis. Together, these insights give you early, directional evidence before committing to in-market testing.

Design Sean Ellis PMF survey questions
Design Gabor-Granger pricing survey (4–5 price points)
Deploy surveys to synthetic cohort (200–500 respondents)
Analyze PMF score and identify must-have features
Build demand curve and price sensitivity analysis
Draft a 12-page insights report with findings

Phase 4: Hybrid Validation Interviews

Synthetic insights are validated through real voices. We recruit 10–15 participants from the 50 prospect firms and conduct semi-structured interviews that blend PMF and pricing questions with open-ended exploration of motivations and objections.

Comparing synthetic versus human results validates assumptions, strengthens credibility, and refines your personas. The outcome is an investor-grade, 25-page report with validated PMF scoring, pricing insights, and key verbatim highlights from decision-makers.

Recruit 10–15 interviewees from the prospect list
Develop semi-structured interview guide (PMF + pricing)
Conduct interviews (≈1 hr each + prep/debrief)
Transcribe and thematically analyze findings
Compare interview insights against synthetic survey results
Produce an investor-grade validation report (25+ pages)

Phase 5: Final Recommendations & Handoff

The final stage pulls everything together into a practical action plan. We translate validated ICP, PMF scoring, and pricing insights into a go-to-market strategy your team can act on immediately.

Deliverables include a strategic roadmap, an investor-ready presentation deck, and an executive readout session. Your team leaves this process with clarity, confidence, and the tools to communicate findings to boards, investors, and early customers.

Develop go-to-market and pricing roadmap
Build final investor-ready presentation deck
Facilitate executive readout workshop
Deliver action recommendations for marketing, sales, product
Provide supporting research materials and transcripts