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conditional-customer-success【开发与工程】Guide recurring human-relationship practices — success plans, health evidence, renewal and expansion signals, QBRs, handoffs, escalation, and closed-loop Voice of Customer. Do not use this skill for products without accounts, renewals, QBRs, or a customer-success team, including some internal tools, pure transactional products without recurring relat…
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A CONDITIONAL skill for products with recurring human relationships. This skill must never be loaded for every product context. It loads only when the product has accounts, renewals, QBRs, or a dedicated customer-success team. When those conditions are absent — for internal tools, pure transactional products, or public services without account-based engagement — this skill declines and routes the caller away.
| Example | What makes it a match |
|---|---|
| B2B subscription product with named account managers | Accounts, renewals, dedicated CS team |
| Enterprise SaaS with quarterly business reviews | QBR cadence, account-tier engagement |
| Renewal-risk analysis needed for a contract portfolio | Renewal evidence, churn-risk signals |
| Product with an assigned customer-success team managing health plans | Success plans, health tracking |
| Account-expansion opportunity identified but adoption signals are mixed | Expansion with relationship context |
| Customer feedback loop — insight surfaced, product change made, customer communication needed | Closed-loop Voice of Customer |
This skill must not be loaded for products without accounts, renewals, QBRs, or a customer-success team. See the should-not-trigger examples below.
This skill must not load when the product context lacks the required preconditions. The skill must decline and route the caller away.
| Example | Why it does not apply |
|---|---|
| Internal developer tool with no accounts, no renewals, no QBRs | No recurring human relationship; no CS team |
| Pure transactional e-commerce product — one-time purchases, no account management | No accounts, no renewals, no QBRs, no CS team |
| Public-service benefit-application portal — no account-tier engagement, no CS team | No accounts (in the CS sense), no renewals, no QBRs |
| Consumer mobile game with subscription billing but no human CS relationship | Subscription alone is insufficient; no human CS relationship |
| Open-source project with community support but no paid accounts | No accounts, no renewals, no CS team |
| Internal analytics dashboard for a single team | No recurring relationship outside the team; no CS team |
Decline rule: If none of the should-trigger conditions are present — that is, the product has no accounts, no renewals, no QBRs, and no customer-success team — this skill must decline with an applicability assessment that records which preconditions were absent and routes the caller to the nearest appropriate skill (product-analytics-and-measurement, product-adoption, or product-lifecycle-learning).
This skill defines when customer-success practice applies and what adaptations are needed for four distinct models. None assumes SaaS.
Applies fully. Accounts, renewals, QBRs, expansion tiers, and a dedicated customer-success team are the canonical fit. All artifacts apply: success plans, health/risk records, escalation paths, handoff protocols, and closed-loop feedback.
Partial application — adapted. The product may have repeat customers and account relationships without formal subscriptions. CS adaptations:
Minimal application — routing preferred. Public-service products often have citizens or beneficiaries, not "accounts." CS applies only when there is explicit account-based engagement (e.g., a case-management portal).
When no account-based engagement exists, decline and route to product-adoption (for service-adoption diagnostics) and product-analytics-and-measurement (for service-outcome measurement).
Conditional — strong routing preference. Internal products may have "internal customers" (other teams, business units), but CS applies only when there is a recurring human relationship with structured engagement.
When the internal product has no recurring human relationship (e.g., a single-team analytics dashboard), decline and route to product-adoption or product-lifecycle-learning.
Every artifact is a decision-support tool, never an automated decision.
Before applying any customer-success method, produce an applicability assessment. If the product context lacks accounts, renewals, QBRs, or a CS team, decline and route the caller away. Record which preconditions were absent.
Template: templates/applicability-decision.md
A structured record of the customer's desired outcomes, aligned product capabilities, measurable milestones, and assigned relationship owner. Not a sales plan; not a support ticket; not a project plan. The success plan is the living artifact that connects customer intent to product evidence.
Template: templates/success-plan.md
An evidence-based record — never an automated score. For each health dimension, capture:
Template: templates/health-risk-record.md
A defined path from signal to decision-maker, with explicit human-judgment gates. Every escalation requires a human decision before action. The path defines:
Template: templates/escalation-and-feedback-closure.md
Defined handoffs to product, support, and engineering teams with clear ownership boundaries:
| Handoff | Trigger | Receiving Team | Artifact |
|---|---|---|---|
| Feature request from customer evidence | Validated pattern across ≥3 accounts | Product | Success-plan extract + health evidence |
| Support escalation | Blocking issue with account impact | Support | Escalation record with account context |
| Technical defect with account risk | Reproducible bug affecting ≥1 account | Engineering | Defect record + account-impact assessment |
| Churn risk requiring lifecycle action | Sustained health decline, 2+ remediation attempts failed | Product-lifecycle-learning | Health/risk record + remediation history |
The path from customer insight to product change to customer communication:
Customer Insight → Validate (pattern? isolated?) →
Product Decision (build / defer / decline) →
Implementation → Communication Back to Customer →
Close Loop (record evidence)
Every step is recorded. "Communication Back to Customer" is mandatory — closing the loop means the customer knows what happened with their feedback. See templates/escalation-and-feedback-closure.md.
These boundaries are non-negotiable.
See references/privacy-and-human-judgment.md for the full boundaries reference.
This skill routes to specialist skills rather than re-deriving their methodology. All routing references use relative paths to existing directories, or prose references for skills not yet landed.
| Skill | What it owns | How this skill consumes it |
|---|---|---|
| ../product-analytics-and-measurement/SKILL.md | Metric trees, tracking plans, instrumentation QA, measurement governance | Provides health evidence and metric definitions for health/risk records |
| ../product-adoption/SKILL.md | Onboarding, activation, behavior change, feature discovery, sustained use | Provides adoption signals (activation, feature adoption, sustained use) as health dimensions |
| ../product-experimentation/SKILL.md | Experiment design, readout, ship/no-ship decisions | Consumed when CS evidence suggests an experiment (e.g., intervention test for at-risk accounts) |
| ../go-to-market/SKILL.md | Acquisition campaigns, marketing conversion | Does NOT own. CS consumes acquisition context only. |
| ../crm/SKILL.md | HubSpot CRM operations — contact records, deal pipeline views, confirmed deal stage changes | Provides account records and pipeline/health context for health/risk records and QBR preparation |
| Skill | What it owns | How this skill routes to it |
|---|---|---|
| product-lifecycle-learning | Retirement communication plans, customer treatment during sunset, migration-support coordination, churn-pattern learning across the portfolio | Escalates sustained health decline (2+ remediation attempts failed) for lifecycle action. Routes churn and sunset signals for portfolio-level learning. |
data-scientist and product-experimentation.product-analytics-and-measurement.go-to-market.product-roadmapping-and-portfolio.go-to-market and legal-strategy skills.| File | Purpose | Load when |
|---|---|---|
| references/discovery-brief.md | Maps existing related content, ownership boundaries, and routing decisions | First load — required context |
| references/privacy-and-human-judgment.md | Full privacy and human-judgment boundaries, surveillance-risk guidance, consent framework | Privacy or judgment question arises |
| templates/applicability-decision.md | Structured applicability assessment — decline or proceed with evidence | Customer-success method considered for any product |
| templates/success-plan.md | Customer success plan with desired outcomes, milestones, evidence gates | Building or reviewing a success plan |
| templates/health-risk-record.md | Evidence-based health/risk record with signal, source, trend, confidence, and conflicting-signal tracking | Health review, QBR prep, renewal-risk analysis |
| templates/escalation-and-feedback-closure.md | Escalation path definition and closed-loop feedback closure record | Escalation design or feedback-loop operation |
A QBR is an evidence review, not a sales presentation. The structure:
For non-subscription models, QBRs are triggered by events, not calendar dates:
| Model | QBR Trigger |
|---|---|
| Transactional | Purchase-milestone threshold, account-tier change, or 6-month dormancy |
| Public Service | Service-review cycle, equity-gap detection, or accessibility-audit result |
| Internal Product | Internal service-review cycle, team-reorg, or adoption decline |