Customer Health Check Template
Health scores miss churn signals until it's too late. Health scores based on logins and feature usage miss the full picture. Your interviewer proactively checks in with customers at key moments — renewal, post-onboarding, quarterly reviews — to understand satisfaction, uncover risks, and identify expansion opportunities. CS gets the human signal no dashboard can capture.
Used 1,900+ times
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
No context. No follow-up. No next step.
- Health check forms collect satisfaction ratings but miss early churn signals — customers quietly evaluating competitors still check 'satisfied' out of habit or politeness
- Static questions can't probe adoption barriers because they ask the same things regardless of the customer's maturity, use case, or recent changes in their business
- Checkbox-based assessments miss expansion opportunities since forms never explore whether the customer's needs have outgrown their current plan or feature set
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Right team. Full context. Instant action.
- AI conversations detect subtle churn signals like competitive evaluation, shifting priorities, or internal champion departures that no rating scale can capture
- Dynamic follow-ups explore adoption barriers specific to each account, uncovering why features go unused and what training gaps are holding them back
- Conversational probing surfaces expansion opportunities naturally, identifying when a customer's needs have grown beyond their current plan before they look elsewhere
How this AI template works
At key moments in the customer lifecycle — 30 days post-onboarding, pre-renewal, quarterly check-ins — your interviewer reaches out with a conversational health check. It asks about satisfaction, unmet needs, team adoption, and future plans. At-risk accounts get flagged. Happy accounts get asked about expansion. Everything flows to Gainsight and Slack.
Getting started
- 1
Define your key customer lifecycle moments for check-ins
- 2
Share what your CSMs wish they knew before every renewal
- 3
Connect to Gainsight for health score updates and Slack for alerts
- 4
Deploy at lifecycle triggers and start hearing from customers proactively
Template Details
- Agent Type
- Interviewer
- Industries
- SaaS / Tech
- Roles
- Customer SuccessProduct Manager
- Integrations
- Gainsight, Slack, Hubspot
- Times Used
- 1,900+
What is a customer health score and why do you need one?
A customer health score predicts how likely a customer is to renew, expand, or churn. Traditional health scores rely on product usage data and support ticket volume — signals that tell you what is happening but not why. A customer might show healthy login frequency while quietly evaluating competitors. Another might have low usage because they've integrated your product so deeply they only need it occasionally. This customer health check template adds the qualitative dimension that usage data misses, giving you a complete picture by actually asking customers how they feel about the relationship.
Why usage metrics alone don't predict churn accurately
Most customer health models weight product usage heavily — daily active users, feature adoption, login frequency. But usage metrics alone predict churn accurately only 60-70% of the time. The missing signal is customer sentiment: how they perceive value, whether they're aware of helpful features, whether their needs have evolved, and how they compare you to alternatives. Research shows that customers often maintain steady usage patterns right up until they cancel. This health check conversation captures the sentiment signal your dashboard can't show you.
How to structure effective customer health check conversations
An effective customer health check covers four dimensions: value realization, product fit, relationship quality, and expansion potential. This template uses AI to explore each area conversationally, adapting the depth based on responses. If someone flags a concern, the AI digs deeper. If everything is positive, it explores growth opportunities. The conversation takes customers 3-5 minutes but produces rich health assessment data that updates your CRM automatically and routes insights to the right team members via Slack or your customer success platform.
How often should you run customer health checks?
The most effective customer success teams run regular health checks to catch issues before they become cancellations. Deploy this template quarterly for your entire book of business, monthly for strategic accounts, or immediately for accounts showing warning signs like declining usage or support escalations. Insights sync automatically to your CRM and customer success platform, building a longitudinal view of each account's trajectory. You'll know not just whether customers are logging in, but whether they're getting value and planning to stay.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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