PMF Levels
A four-level framework from Todd Jackson (First Round Capital) for diagnosing where a B2B product sits on the product-market fit spectrum — and what to do next. The framework operationalises “do we have PMF?” into a continuous diagnostic rather than a binary gate.
The four levels
| Level | Label | Signals |
|---|---|---|
| L1 — Nascent | Early signal, weak retention | A few customers; significant churn or stagnant usage; team still searching for the right ICP |
| L2 — Developing | Real but fragile fit | Consistent first use; some retention; customers see value but wouldn’t describe you as essential; word of mouth rare |
| L3 — Strong | Clear, repeatable fit | High retention; strong NPS or equivalent; customers become advocates; sales cycle shortens as category awareness grows |
| L4 — Extreme | Category-defining | Customers would actively fight to keep you; you are embedded in critical workflows; competitors reference you to explain what they do |
The level is a product state, not a company state. A company can have L3 PMF with one customer segment and L1 PMF with another it is trying to enter.
Three dimensions
PMF level is assessed across three dimensions simultaneously:
- Satisfaction — Do customers love the product? Would they be “very disappointed” if it went away (the Sean Ellis benchmark, which Todd endorses as a useful proxy at ≥40%)?
- Demand — Is there market pull? Are customers coming to you without heavy push sales motion?
- Efficiency — Can you acquire customers cost-effectively? Is the go-to-market repeatable?
A product can score well on satisfaction (customers love it) but poorly on efficiency (it takes six months of hand-holding to close each deal). That is still L2, not L3 — all three dimensions must be strong for a level upgrade.
The $100 vending machine test
A discovery technique for uncovering genuine willingness to pay and demand depth: imagine a vending machine in your office that dispenses your product for $100 per use — no relationship, no sales process, no SLA. Would your target customers pay? How often?
The test forces away from “is this useful?” (almost everything is useful at $0) toward “is this essential at a cost?” It also surfaces who the real buyer is: the person willing to pay $100 from their own budget, not just the person willing to use a free trial.
The four Ps pivot model
When a company is stuck at L1 or L2, Todd identifies four pivot levers, in rough order of cost:
| Lever | Description | Example |
|---|---|---|
| Persona | Switch the target customer segment | From SMB to mid-market; from developer to operations team |
| Problem | Reframe which problem you solve | Lattice: performance reviews → broader people management |
| Promise | Change the positioning or message without changing the product | Different value prop, different competitive frame |
| Product | Change the core functionality | Most expensive; should be tried last |
The model argues that most founders reach for Product too quickly. Persona and Problem pivots are cheaper and faster — and often reveal that the original product was right but aimed at the wrong buyer or framed around the wrong job.
The marginal customer trap
At L3/L4, the temptation is to push into adjacent segments to grow faster. Todd’s caution: adding a segment that has weaker PMF pulls your metrics toward the mean. Aggregate NPS or retention numbers that were L3 with your core segment become L2 when you blend in a segment you haven’t cracked. This is not progress — it is dilution of a real signal.
The discipline is to be explicit about which segment you are measuring against which level, and to keep the core-segment metric clean as you expand.
Dollar-driven discovery
The standard mistake in customer discovery: asking about opinions and preferences (“would you use this?”, “how important is this?”). People over-state both. Todd’s corrective: anchor every discovery conversation to real economic behaviour.
- What did you pay for the last solution to this problem?
- What would you pay for a solution that worked perfectly?
- Who controls that budget?
“Don’t get friend-zoned” — a phrase from Ironclad founder Stuart Landesberg via Todd: a customer who calls you every week for advice, enthusiastically attends demos, and gives referrals but never signs a contract is not a customer. Enthusiasm is not demand; economic commitment is demand.
Company examples by level
| Company | Level at time of example | Key signal |
|---|---|---|
| Vanta (security compliance) | L3–L4 | Customers were buying without a formal sales motion; became reference customers immediately |
| Lattice (people management) | L3 post-pivot | Persona + Problem pivot from performance reviews to full people management platform unlocked enterprise retention |
| Plaid (financial data) | L4 | Became infrastructure layer; removing Plaid would break dependent workflows |
| Looker (business intelligence) | L3 | Strong NPS in technical buyer segment; data teams became internal advocates |
| Ironclad (contract management) | L2→L3 | Shifted from “build for legal teams” to “build for the legal-engineering interface” |