Pmf crossing the chasm
Activate when: user says "PMF," "product-market fit," "crossing the chasm," "early adopter to mainstream," "whole product," "we're stuck after our beachhead," or "growth stalled after an initial good period"; startup has early traction but can't tell if it's real; team is debating which segment to target next after winning early fans. Do NOT activate when: the product has no users yet (use lean-startup instead); the business is already category-mature and the question is about scaling proven channels. More: deciqai.com/s/pmf-crossing-the-chasmFrom its SKILL.md
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SKILL.md
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Product-Market Fit and Crossing the Chasm
Overview
Two distinct questions decide early-stage growth: (1) PMF — do enough users love the product they'd be very disappointed without it? (2) Chasm — can you move from early adopters (tolerate rough edges for novelty) into the early majority (need proven, complete, referenceable products)? Both failures look like "low growth" but differ in cause and cure.
Compose: business-model-canvas · lean-startup · first-principles · probabilistic-thinking
When to Use
Apply when: early traction exists but PMF is unconfirmed; growth stalls after initial good period; deciding next segment; NPS positive but usage flat; an AI-native product loved by developer/early-adopter users stalls at enterprise adoption despite the AI-capex race and frontier-model gains. Not when: no users yet (lean-startup); already-mainstream business scaling proven channels; issue is pricing/sales-process not chasm.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has data → run the PMF + Chasm Audit directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line what-it-is: (a) PMF = do users love it enough to be very disappointed without it? (b) Chasm = can you move from early adopters (tolerate rough edges) to early majority (need proven, complete, referenceable)? Solved differently.
- Check fit: no users yet → lean-startup. Already-mainstream business → wrong framework.
- Which segment are you selling to today? Name early adopters vs. early majority concretely.
[WAIT — do not advance until user responds]
- Run PMF measurement (Ellis Test). Only after PMF confirmed, raise chasm.
[WAIT — do not advance until user responds]
- Name the right next move: "fix product first" or "here is the specific whole-product gap blocking the next segment."
[WAIT — do not advance until user responds]
The Process
Run the PMF + Chasm Audit. PMF first; chasm second.
Part A — Measure PMF
A1. Active-user cohort: ≥ 2 weeks use, multiple sessions (not signups). A2. Ellis Test: "How would you feel if you could no longer use [product]?" — Very / Somewhat / Not disappointed / N/A. A3. Score: ≥ 40% Very disappointed = PMF. 25–40% = approaching. < 25% = no PMF. A4. Follow-ups: who benefits most? main benefit? top improvements? A5. Retention curve should flatten (smile curve), not decay to zero.
Part B — If PMF holds, assess Chasm
B1. Classify customers on Rogers's curve (Innovators / Early Adopters / Early Majority). B2. Name chasm geography: selling today to whom; specific next mainstream sub-segment. B3. Whole-product gap: integrations, references, certs, support, contracts missing. B4. Pick one beachhead (bowling-pin — not "the mainstream" generically). B5. Build whole-product for that beachhead; shift positioning to "proven and safe."
Output: PMF + Chasm Audit
# PMF + Chasm Audit: <product>
Part A — PMF: cohort definition | Ellis % → verdict | follow-ups | retention curve
Part B — Chasm (if PMF held): Rogers classification | chasm geography (today → next) |
whole-product gap list | beachhead chosen | whole-product plan (refs/integrations/certs/sales/positioning)
Anti-patterns: ☐ no generic "mainstream" ☐ whole-product ≠ features ☐ sales process changed
→ Method in Action: Salesforce, 1999 → 2007 → 2026 lens: AI Coding Assistants Crossing the Chasm (2023–2026)
Adoption Packs
Segment geography differs by domain; PMF measurement and chasm framework are universal. Domain packs cover: adopter profiles, whole-product gap, beachhead segments, positioning shift.
- Enterprise SaaS: compliance + ecosystem. Consumer apps: UX polish + cross-platform + virality. Developer tools: procurement-readiness (SSO/support/CIO). Healthcare: regulatory + clinical evidence + EMR.
Adding a pack for your industry is the easiest contribution.
Applying It Well
- Measure PMF — don't intuit it. Founder gut is famously unreliable. Don't cross the chasm by selling harder to the same segment.
- Whole-product gap is almost always ecosystem (compliance, integrations, references), not features.
- Beachhead specificity wins: "financial services mid-market U.S." beats "going enterprise."
- Positioning shift from "cool/new" to "proven/safe" is the framework's hardest interpersonal cost.
→ Primary sources: references/sources.md
Common Rationalizations
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "We have PMF" — citing NPS or signups only | NPS/signups are vanity-adjacent. Use Ellis Test or comparable retention signal. |
| [D] Doubling sales team as chasm-crossing strategy | Sells harder to the same early-adopter segment → revenue then stall. Gap is whole-product, not headcount. |
| [D] Treating "the mainstream" as one segment | It's composed of distinct verticals. Pick one beachhead (bowling-pin); "going mainstream" loses. |
| [D] Adding features as the whole-product fix | Mainstream needs compliance, integrations, references, contracts — not features. |
| [D] Same pitch for early adopters and mainstream | Visionaries buy "transformative"; pragmatists buy "proven safe." One pitch fails both. |
| [D] Confusing pricing/sales-process issues with chasm | Growth sometimes stalls for boring reasons. Diagnose carefully before invoking the chasm. |
| [D] Skipping PMF → jumping straight to chasm strategy | No PMF in any segment = nothing to cross from. |
| [D] "We just need better marketing" | Mainstream decides by peer references, not marketing. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Red Flags
- "We have PMF" with no Ellis Test or retention signal
- Doubling sales team proposed as answer to stalling growth
- "Going mainstream" with no specific beachhead named
- Roadmap = more features when need is compliance/integrations/references
- Same pitch deck for early adopters and enterprise; no vertical references
Verification
- PMF measured on active-user cohort (Ellis Test or equivalent)
- Current customers classified on Rogers's curve
- Specific beachhead named (not "the mainstream")
- Whole-product gap enumerated (compliance, integrations, references, contracts)
- Positioning shift planned; sales process changes named; reference-customer plan exists
Part of deciqAI Knowledge Skills — 233 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/pmf-crossing-the-chasm · Built by deciqAI · github.com/deciqAI · Contributions welcome.
Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/pmf-crossing-the-chasm.json
What ships with it: 3 files
13.4 KB alongside SKILL.md
examples/
references/
- sources.md1.8 KB