We measure, diagnose, and improve the fit between your product and the market it serves — identifying precisely where alignment exists, where it breaks down, and what changes will accelerate adoption, retention, and sustainable growth.
Our methodology moves beyond sentiment and into hard utility. We deconstruct the "value-friction gap" by analyzing how your product's core features map against the specific, underserved pain points of your target segments.
PMF exists when a product genuinely solves a real problem for a defined segment — and customers adopt, retain, and advocate for it in sufficient numbers to sustain a business.
IMR's PMF Analysis practice provides structured research methodology to measure fit rigorously — identifying where strength is highest and where friction blocks broader adoption.
Retention curves, cohort analysis, NPS, CSAT, feature adoption rates, churn, and the Sean Ellis 40% Rule PMF score.
Retention Curves
Cohort Analysis
NPS & CSAT
40% Rule
IDIs and FGDs exploring product love, usage motivation, switching context, and moments of delight and frustration.
Usage pattern analysis, feature engagement mapping, and adoption flow data — actual, not reported, product behaviour.
Before PMF can be measured, the right customer segment must be defined. We help organisations move from broad target market definitions to precise, evidence-based Ideal Customer Profiles — the specific segment where your product creates the most value and achieves the strongest retention.
A product's value proposition must land clearly and compellingly with the right customer — or adoption stalls regardless of product quality. We measure the resonance of your core value proposition across target segments.
Retention is the truest measure of product-market fit. We analyse retention curves, cohort behaviour, and churn patterns — conducting deep-dive qualitative research with churned users.
We deliver a structured PMF Scorecard — aggregating quantitative signals, qualitative evidence, and behavioural data into a clear go/no-go recommendation for scaling.
Everything you need to stop guessing and start scaling.
The ultimate health check. Multi-dimensional scoring with dimension-level ratings, rigorous evidence, and a definitive go/no-go scaling recommendation.
Boardroom-ready presentation with a clear PMF verdict and recommended investment allocation for confident scaling decisions.
Precisely defined Ideal Customer Profile with behavioral and psychographic attributes to align your GTM motion to the right audience.
Cohort analysis and churn intelligence with specific improvement recommendations to reduce drop-off and increase lifetime value.
Message testing results with top-performing claims and optimized hierarchy to sharpen positioning and maximize conversion rates.
Combining quantitative, qualitative, and behavioural data for a robust, multi-dimensional assessment.
We measure PMF at the segment level — identifying where fit is strong vs. where it's weak.
Every finding is paired with specific recommendations — driving immediate business action.
Analysis at concept stage, MVP stage, and post-launch — supporting idea validation through scaling.