Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use when designing account-expansion mechanics — upsell vs cross-sell, expansion-trigger signals, NRR cognition. Triggers on 'lift NRR', 'when do we upsell vs cross-sell'.
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See how to installReview the instructions the agent will receive before you install.
Do NOT use to save churning accounts (route to
churn-prevention), design days 0–30 onboarding (route to
onboarding-design), or build product-led seat-expansion loops
unattended by a human play (route to retention-loops).
docs/contracts/mental-models.md § 18.mental-models.md § 9.mental-models.md § 3.context-spine.Inspect the trailing four quarters of expansion $ and decompose:
Compute each lever's $ contribution and NRR contribution. A book treating these as one number cannot diagnose which lever is broken.
Each trigger is a buyer-side pull signal with falsifiable evidence:
churn-prevention)
is green.Triggers that misfire three times in a quarter become Step 0 diagnoses next quarter; do not patch them inside the quarter.
Each lever gets one default play and one disqualifier:
churn-prevention).If two triggers fire on the same account in the same quarter: sequence upsell before cross-sell (compound the contract the buyer already believes in) before seat-expansion (the most fragile lever — easiest to inflate, easiest to lose). Two plays fired in parallel signal vendor-push and corrode the relationship.
NRR = (start-ARR + expansion − churn − contraction) ÷ start-ARR, per cohort. Decompose expansion into the three levers. Verify each trigger's pull-signal is intact: confirm the buyer-side artefact (usage ceiling crossed, written request, admin invite) exists in instrumentation; a lever whose triggers cannot be verified against artefacts is push-expansion mislabelled as pull, and the next cycle's churn will return the revenue. A book hitting 115 % NRR via seat-expansion only is more fragile than a book hitting 110 % via upsell + cross-sell — fragility shows up in the next cycle's churn, not this one's revenue line.
Hand the lever decomposition, the three pull-signalled triggers,
and the per-lever play to CS / AM operations and to
forecast-accuracy for the
expansion side of the forecast call. NRR work without lever
separation is spending in random directions.
WHEN to use this
WHEN NOT to use this
churn-prevention.onboarding-design.retention-loops.lever-decomposition.md — trailing-quarter expansion $ split into upsell · cross-sell · seat-expansion with NRR contribution per lever.expansion-triggers.md — one pull-signalled trigger per lever · falsifiable evidence · misfire counter.lever-play-map.md — per-lever default play · disqualifier · sequencing rule for multi-trigger accounts.Mid-market SaaS, NRR 112 % last quarter, churn ticked up this quarter.
forecast-accuracy rebuilt on lever-weighted historical close rates.No reviews yet. Tell others what you thought.
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Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
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Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
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Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
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Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
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