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AI-Native PDLC — Whole-Model View

Twelve dimensions, five maturity levels each. Hover a cell for its definition; click it (or the popover’s own link) for the transition and full detail.

DimensionNascentModeledContinuousIntegralTelemetric
D1Market discovery & definition
Ad hoc AI use, by preference, no shared method.
Consistent AI method exists, still one function's own.
AI discovery runs continuously now, still function-owned only.
Functions share one AI model, still hand-render it.
AI auto-renders each function's view from one model.
D2Buyer & user persona development
Ad hoc AI use, individual preference only, inconsistent.
Consistent AI synthesis exists, but personas ship static.
AI keeps personas live against real usage signal.
Functions consume shared AI persona model, still hand-adapting.
AI auto-generates each function's persona view directly.
D3Positioning & competitive intelligence
Ad hoc AI use, no shared method, inconsistent.
Consistent AI monitoring exists, one function's own cadence.
AI competitive monitoring is continuous now, not periodic.
Functions draw on shared AI model, still hand-rendering.
AI auto-generates each function's positioning view directly.
D4Requirements management
Informal specs, unsystematic AI drafting, no shared traceability yet.
Shared spec record exists; AI drafts, humans still reformulate.
AI generation consumes specs directly, no reformulation needed now.
Specs auto-reconcile against signal; AI flags gaps automatically.
AI keeps specs self-maintaining; PM reviews surfaced conflicts only.
D5Prioritization & tradeoffs
Backlog order argued case-by-case; AI drafts private business cases.
Consistent framework exists; AI summarizes, financial expedience still decides.
Cadence tied to budget; AI applies current intelligence directly.
AI surfaces recommendations; PM ratifies or overrides with reasoning.
AI-surfaced tradeoffs continuously maintained; PM audits for drift.
D6Executive engagement & authority
Authority diffuse, whoever has leverage; PM only coordinates.
PM guides authority; senior leadership still ratifies every decision.
PM authority documented and narrow; leadership approves, not initiates.
AI keeps decision basis visible; PM authority now self-sustaining.
AI-assisted transparency real-time; engagement means surfacing conflicts only.
D7Organizational evangelism & alignment
Direction communicated reactively; alignment relies on one-on-one conversations.
AI drafts cadenced artifacts; delivery still manual, undifferentiated audience.
AI renders audience-specific views; propagation stays event-driven only.
AI propagates continuously; misalignment still caught reactively by teams.
AI proactively flags misalignment; propagation is fully automatic.
D8Portfolio & investment management
Portfolio bets episodic, subjective; no tracking of returns.
AI assembles investment cases; qualitative judgment still drives decisions.
AI models scenarios against intelligence; outcome feedback stays manual.
AI surfaces investment recommendations; PM still assembles the case.
Signal-triggered decisions; AI recommendations ratified, not assembled.
D9GTM cadence & market activation
GTM episodic, launch-driven; functions render positioning independently.
AI drives cadenced GTM artifacts; functions still render independently.
Shared AI model drives GTM; updates remain milestone-triggered only.
AI updates pricing near-continuously; a defined cadence still remains.
AI maintains GTM continuously; pricing responds near-real-time.
D10Experimentation & validation
Prototyping ad hoc; findings rarely feed back systematically.
AI synthesizes validation findings; manual reformulation required for engineering.
AI accelerates prototypes; parallel track's latency now shrinking.
Prototype velocity matches delivery; promote-or-discard is a product decision.
Prototype track subsumed; hypotheses flow straight through delivery.
D11Analytics & outcome measurement
Outcomes assessed anecdotally after the fact; no standing view.
AI assembles scheduled reviews; initiative-scoped, no portfolio visibility yet.
AI assembles evidence packages at review; feedback still manual.
AI surfaces anomalies continuously; only two failure classes distinguished.
AI distinguishes all four failure classes; PM interprets responses.
D12Feedback loop velocity
Cycle time unmeasured; handoffs dominate, response speed unknown.
Cycle time measured retrospectively; bottleneck handoff not yet identified.
Cycle time tracked continuously; bottleneck resolution still separately planned.
Bottleneck closure now routine priority input, same as features.
Days-not-months cycle time; a genuine competitive differentiator now.
A — Nascent B — Modeled C — Continuous D — Integral E — Telemetric⚠ = open review item

Currency basis: short-form cells pinned at a0f1876; full model text pinned at a0f1876; shared D1-D3 layer pinned at cb6ffd1. These are different bases, so this page can render content from more than one point in its sources' history.

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