Customer Success High ROISkill: Intermediate Sprint
Research top customer success metrics for your industry
Identify the right metrics to measure and improve customer success
$01//
Expected Impact
Proper metric selection improves CS team focus by 40% and ensures efforts align with business outcomes by measuring what actually predicts retention and growth.
$02//
Recommended Models
Perplexity: Sonar Deep ResearchAnthropic: Claude Sonnet 4.5
$03//
Inputs Required
Business ModelCurrent MetricsGoalsData Availability
$04//
Prompt Template
Copy and customize for your context
I need to research and define the right customer success metrics for our business.
Business model: [BUSINESS_MODEL: subscription, usage-based, enterprise, SMB]
Current metrics: [CURRENT_METRICS: what we track today]
Goals: [GOALS: retention, expansion, efficiency]
Data availability: [DATA_AVAILABILITY: what we can actually measure]
You are a customer success operations expert. Help me identify the metrics that matter most for predicting and driving customer success.
CONSTRAINTS:
- Metrics should be leading indicators, not just lagging outcomes
- Ensure we can actually collect the data needed
- Balance comprehensiveness with focus (don't track everything)
- Align metrics with how our business model works
DELIVERABLES:
- Recommended CS metric framework (5-7 core metrics)
- For each metric: definition, formula, why it matters, target
- Leading vs. lagging indicator classification
- Health score component recommendations
- Metrics to avoid or deprioritize (vanity metrics)
- Implementation roadmap for new metrics
$05//
Implementation Tips
1
Tell AI what you can actually measure today so recommendations are implementable
2
Ask for metrics at different maturity levels—start simple and build up
3
Request AI to recommend 3-5 key metrics maximum—focus beats comprehensive dashboards
For:
VP Customer SuccessCustomer Success ManagerOperations Manager
Industries:
SaaSB2BSubscription Services
