| name | customer-success-health-score |
| description | Use when assessing retention risk, expansion potential, account quality, or service intervention priority. Use when applying the Customer Success Health Score consulting method and when a user asks for Customer Success Health Score, method execution, structured diagnosis, or action planning. |
| license | Apache-2.0 |
Customer Success Health Score
Use this skill to run Customer Success Health Score as a practical consulting method, not as a generic framework explanation.
Method Notes
- Define healthy before scoring.
- Use adoption, realized value, relationship, support, commercial, and risk signals.
Required Inputs
Collect or infer these inputs before execution:
- customer or account list
- usage/adoption signals
- value realization evidence
- relationship and support data
If an input is missing, do not block automatically. Mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use before customer outcomes, adoption signals, relationship signals, renewal risk, and data quality are defined. One aggregate score must not hide a critical failure condition.
Adjacent Methods
metrics-tree: design causal drivers and guardrails before building a score.
user-journey-mapping: diagnose where experience friction creates the risk signal.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|
| Define health outcome | Retention, expansion, value realization, satisfaction objective. | State what healthy means for customer and business. | Health definition. |
| Select signal categories | Adoption, value, relationship, support, commercial, risk data. | Choose signals that predict health in this context. | Signal model. |
| Set weights and thresholds | Signal model, historical evidence, expert judgment. | Assign weights, green/yellow/red thresholds, and missing-data rules. | Health scoring rubric. |
| Score accounts | Customer/account data. | Calculate health tier and explain drivers. | Health score table. |
| Assign interventions | Health tier, owner capacity, account value. | Define save, nurture, expand, or monitor actions. | CS intervention plan. |
Output Template
### 1. Health Definition
Desired customer outcome:
Risk event:
Prediction window:
Population:
### 2. Signals And Weights
| Signal | Definition | Source | Weight | Threshold | Lag / leading |
|---|---|---|---|---|---|
| | | | | | |
### 3. Customer Scores
| Customer | Score | Tier | Evidence gap | Primary risk |
|---|---|---|---|---|
| | | | | |
### 4. Intervention Rules
| Tier / trigger | Action | Owner | Timing | Recovery signal |
|---|---|---|---|---|
| | | | | |
### Evidence And Next Decision
- Confirmed facts:
- Assumptions:
- Missing evidence:
- Next action, owner, and timing:
- Expected signal and decision threshold:
Quality Gate
- Produce the method-specific outputs for Health Definition, Signals And Weights, Customer Scores; do not substitute a generic framework summary.
- Tie every material score, causal claim, or stakeholder judgment to evidence or label it as an assumption.
- Include at least one disconfirming check, sensitivity, alternative explanation, or failure condition appropriate to the method.
- Convert the result into a named action or decision with an owner or stakeholder, timing, and observable signal.
- State missing inputs and the smallest validation action instead of inventing precision.
- Keep wording professional and plain enough that a smart non-specialist can use the output directly.