Crossing the Chasm (Moore) — the v1.0 Spine

SkillDev tools

Assess adoption-lifecycle stage, plan the chasm crossing, and build a beachhead strategy using Geoffrey Moore's Crossing the Chasm framework during PRD v1.0 Market Adoption. Triggers on requests to assess adoption stage, plan beachhead, cross the chasm, scale from early adopters, or when user asks "are we in the chasm?", "crossing the chasm", "beachhead strategy", "Moore", "whole product", "pragmatist buyers", "from early adopters to early majority". Outputs ADO-STAGE-*, ADO-BEACHHEAD-*, ADO-WHOLE-*, ADO-REF-* entries.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Crossing the Chasm (Moore) — the v1.0 Spine skill

What this skill tells your AI

The instructions your AI receives, as published by mattgierhart/prd-driven-context-engineering in .claude/skills/prd-v10-chasm-adoption-moore/SKILL.md and read by ahel’s review.

Position in workflow: v0.9 Feedback Loop Setup → v1.0 Crossing the Chasm (Moore) → all v1.0 work

Execution Mode

Default is deep (this is a major strategic decision; quick mode is for hypothesis pre-work only). See .claude/rules/08-skill-execution-modes.md.

ModeWhat this skill produces
quickStage assessment only (ADO-STAGE-*); beachhead candidate hypothesis
standardStage assessment + beachhead segment + top 3 whole-product gaps + reference-account candidate list
deep (default)Full stage assessment with evidence + sharpened beachhead with in/not-in criteria + complete whole-product gap analysis + reference-account cultivation plan + chasm-crossing risk register

Framework: Moore's Technology Adoption Lifecycle

From Crossing the Chasm (Geoffrey Moore, 1991, updated 2014). The bestselling tech-strategy book of the 1990s, and still the canonical model for understanding why early traction doesn't predict mass adoption.

The lifecycle

Stage% of marketBuyer mindsetWhat they buy
Innovators (2.5%)Tinkerers; technology enthusiastsWant to try new things; tolerate incomplete productsVision, technical depth, access
Early Adopters (13.5%)VisionariesWant strategic advantage from non-mainstream techBold vision + first-mover ROI
— THE CHASM —
Early Majority (34%)PragmatistsWant reliable productivity gains from proven solutionsWhole product + segment-specific references
Late Majority (34%)ConservativesWant safe, mature defaultsMarket leadership, low risk
Laggards (16%)SkepticsResist change(Generally not worth targeting)

The chasm

The gap between Early Adopters and Early Majority is the chasm. Most products die here. The reason: visionary buyers (who got you to early traction) actively want the cutting-edge, while pragmatist buyers want to be the second penguin off the iceberg — they need to see peers in their segment succeeding first.

The chasm-crossing playbook

  1. Pick a beachhead segment — A single, narrowly-defined sub-segment of the early majority. Not "small businesses." Specific: "freight-forwarding firms with 50-200 employees in the US Pacific Northwest using ERP X."
  2. Build the whole product for that beachhead — Pragmatists don't buy your core product; they buy your core + integrations + reference customers + support + training + everything else they need to deploy. Identify and close the gaps.
  3. Cultivate references in segment — A reference from outside the beachhead is worthless to a beachhead buyer. Three references inside the beachhead is the unlock.
  4. Concentrate, then expand — Don't try to cross the chasm broadly. Win the beachhead, then use it as a reference base to win adjacent segments ("bowling alley" stage).

Consumes

  • CFD-* customer evidence (all stages, especially v0.9 post-launch feedback) — Composition of paying customers; stage signal
  • PER-* personas (sharpened by v0.9 Positioning) — Beachhead is a sharper variant of an existing PER-
  • GTM-* positioning (from v0.9 Positioning) — Best-fit segment is the starting point for beachhead selection; beachhead is usually tighter
  • GTM-* offer card (from v0.9 Offer Construction) — Offer must match beachhead expectations (pragmatists need different guarantees than visionaries)
  • FEA-* features (from v0.3) — Whole-product gap analysis cross-references current feature set
  • KPI-* baseline metrics (from v0.3 + v0.9) — Stage assessment uses retention shape, NPS by segment, conversion rate
  • BR-PRICING-* (from v0.3 + v0.9) — Pragmatist buyers expect different pricing/contract terms than visionaries

Produces

  • ADO-STAGE-* entries in SoT/SoT.ADOPTION.md — Current adoption-stage assessment with evidence
  • ADO-BEACHHEAD-* entries — Beachhead segment definition with strict in/not-in criteria
  • ADO-WHOLE-* entries — Whole-product gaps (one per gap, with owner and close date)
  • ADO-REF-* entries — Reference-account targets (one per candidate, with consent + placement status)
  • CFD-* gaps surfaced — When stage evidence is thin or beachhead selection lacks data, log as research gaps

Execution

Step 1: Assess current adoption stage

Audit current paying-customer composition. For each customer, classify by stage indicators:

IndicatorInnovator/Early AdopterEarly Majority
Sales motionDirect founder relationshipAsked for demo / pricing / case studies
Setup tolerance"I'll figure it out""Show me the integration with X"
Reference needNoneAsked "who else in my industry uses this?"
Renewal motivation"We're betting on this""It saves us $X/month"
ProcurementSingle buyerProcurement / SOC2 / contracts review

Stage signal:

  • Innovators / Early Adopters: >70% of paid customers show visionary indicators
  • At the chasm: Mixed composition; new inbound asking pragmatist questions ("references", "integrations", "SOC2"); flat MRR despite growing leads
  • Bowling Alley (post-chasm): >50% of new customers in one identifiable segment
  • Tornado: Rapid acquisition across multiple segments
  • Main Street: Stable growth, focus on expansion and retention

Deliverable: One ADO-STAGE-* entry with evidence, stage classification, and confidence score.

Step 2: Pick the beachhead segment [standard+]

Generate 3–5 candidate beachhead segments. Score each:

CriterionQuestionWeight
Pragmatist densityIs this segment mostly pragmatists (already buying mature solutions)?High
Whole-product proximityHow close is our current product to the segment's whole-product expectation?High
Reference accessibilityCan we get 3 references in this segment within 6 months?High
Compelling reason to buyIs there an urgent, segment-specific pain we solve uniquely?High
Adjacency valueIf we win this segment, what adjacent segments unlock?Medium
Competitive intensityHow saturated is this segment with established competitors?Medium
Market sizeIs this segment large enough to support a beachhead?Low (most beachheads are small; that's fine)

Pick the top-scoring segment. Write strict in-segment and not in-segment criteria.

Deliverable: One ADO-BEACHHEAD-* entry with in/not-in criteria, rationale, target (e.g., "10 closed-won in segment within 6 months"), confidence.

Step 3: Whole-product gap analysis

For the beachhead segment, list everything a pragmatist buyer in that segment expects to receive when they pay you:

  • Core product (what you ship)
  • Integrations (with their existing stack — specific)
  • Compliance (SOC2, HIPAA, ISO — segment-specific)
  • Support (response-time SLA, dedicated CSM if appropriate)
  • Training / onboarding (videos, docs, certifications)
  • References (segment-specific, named, willing to talk)
  • Pricing / contract terms (annual contracts, MSAs, custom DPAs)
  • Migration / data import
  • Professional services (implementation help)
  • Roadmap visibility

For each, score: Ship today? / Gap?

For each gap, create an ADO-WHOLE-* entry with severity (blocker / serious / nice-to-have), owner, target close date.

Deliverable: List of ADO-WHOLE-* entries. Blockers must close before sustained beachhead motion.

Step 4: Reference-account cultivation plan [standard+]

Identify 5–10 existing or near-term customers in the beachhead segment that could become public references. For each:

FieldNotes
CustomerName + segment fit confirmation
Story strengthWhat outcome can they speak to publicly? (Quantified > qualitative)
RelationshipWho owns the relationship internally?
Consent pathWhat approval do they need internally to be public?
Target placementLogo on pricing page / quote on landing / blog case study / on-stage / podcast
Confidence1–5 of "will become a reference within 90 days"

Deliverable: 5–10 ADO-REF-* entries with cultivation plan.

Step 5: Chasm-crossing risk register [deep only]

For each major chasm risk, log a RISK-* entry:

  • Reference-cold risk — Can't get 3 references in beachhead within 6 months
  • Whole-product gap risk — Critical gap can't be closed in time
  • Beachhead-too-small risk — Segment doesn't sustain the company economically even if won
  • Competitor-incumbency risk — Pragmatist defaults are competitor X; switching cost too high
  • Internal motion risk — Sales / support / product can't pivot from visionary motion to pragmatist motion

Each risk gets mitigation actions tied to ADO-WHOLE-, ADO-REF-, or BR-* updates.

Deliverable (deep): Risk register with mitigations.

Output Templates

See SoT/SoT.ADOPTION.md for the complete entry templates for ADO-STAGE-, ADO-BEACHHEAD-, ADO-WHOLE-, and ADO-REF-.

Anti-Patterns

PatternSignalFix
"We're in the chasm" without evidenceStage assessment based on vibesAudit actual paying-customer composition; require ADO-STAGE-* confidence ≥ 3/5
Beachhead too broad"Small businesses" or "B2B SaaS"Tighten until it disqualifies most buyers; segment of 100–10,000 prospects max
Skipping whole-product gap"Our product is great; we just need more marketing"Pragmatists buy whole product, not core product; list every gap
Reference from wrong segmentTouting a visionary customer to a pragmatist buyerIn-segment references only; cross-segment is worthless
Crossing the chasm broadly"Let's just scale paid ads"Concentrate on beachhead; broad CAC will be 5× higher and worse-converting
Confusing best-fit with beachheadTreating Dunford best-fit as the beachheadBeachhead is tighter than best-fit; usually one sub-segment of the best-fit
Skipping stage assessmentJumping to "we need to scale" without checking where we areStep 1 is mandatory; without it, the rest is guesswork

Quality Gates

Before proceeding to other v1.0 work:

  • ADO-STAGE-* entry exists with evidence and confidence ≥ 3/5
  • If stage is "at the chasm" or beyond: ADO-BEACHHEAD-* defined with strict in/not-in criteria
  • At least 3 ADO-WHOLE-* gap entries identified (blockers + serious)
  • At least 3 ADO-REF-* candidate accounts (standard+)
  • RISK-* entries cover the top chasm risks (deep only)
  • Beachhead does not contradict v0.9 Positioning's best-fit (or contradiction is explicit and rationalized)

Downstream Connections

ConsumerWhat it usesExample
Continuous Discovery (Torres)Beachhead segment = discovery interview poolWeekly interviews drawn from ADO-BEACHHEAD-
Mom Test InterviewBeachhead-segment interview disciplineValidate ADO-STAGE- and ADO-WHOLE- via Mom Test
Case Study BuilderReference candidates = case study targetsADO-REF-* graduates to case study
Testimonial CollectorReference candidates = testimonial targetsADO-REF-* (lower-effort placement)
v0.9 Re-runsBeachhead may sharpen Positioning; whole-product gaps may shift OfferRe-run Dunford with sharper segment
Feedback Loop SetupPragmatist-shaped feedback signals chasm crossingInbound pattern shift → re-run stage assessment

Detailed References

  • Geoffrey Moore, Crossing the Chasm (1991, revised 2014) — canonical source
  • Geoffrey Moore, Inside the Tornado (1995) — post-chasm bowling alley / tornado / main street
  • Eric Ries, The Lean Startup (incompatible motion before chasm; useful contrast)
  • wondelai's crossing-the-chasm skill (wondelai/skills)
  • (No bundled references/ — read the book for depth)

Signals

GitHub stars
182
Forks
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Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
prd-v10-chasm-adoption-moore
Source
github.com/mattgierhart/prd-driven-context-engineering