Customer health, retention insights, and service reporting
Customer health, retention insights, and service reporting
This domain tests how Service Hub connects service activity to retention: health scores, feedback surveys, churn-risk signals, and service reports. Expect questions about which metric answers which question and how to act on a signal.
Core rules
- A customer health score is a composite signal, usually built from engagement, product usage, support history, and commercial data. Weight the inputs deliberately and review the score with context; a low score is a prompt for investigation, not a verdict.
- Retention insights come from trends: rising ticket volume, repeated issues, declining CSAT, negative NPS, and missed SLAs. Combine feedback with behavior; a single survey response is noisy.
- CSAT measures satisfaction with a specific interaction; NPS measures willingness to recommend; CES measures effort. Match the survey to the decision.
- Service reporting should track first response time, time to close, ticket volume by source and category, SLA compliance, CSAT, and reopened tickets. Segment by team, channel, and customer tier to find actionable gaps.
- Close the loop: route low scores and at-risk accounts to an owner, create a task, and log the follow-up.
Worked example
A report shows a strategic account has three tickets in 30 days, one reopened, and a CSAT of 2/5. Its health score drops from green to amber because support history is weighted heavily. The support lead reviews the tickets, finds a billing defect, creates a task for the account manager, and schedules a check-in. The next month's report shows no new tickets and CSAT back to 4/5. Reasoning: the report surfaced the pattern, the health score prioritized the account, and the closed-loop task turned insight into action.
Traps
- Treating health score as a single metric or ignoring its inputs.
- Celebrating low time-to-close while reopen rate rises.
- Using NPS for a single ticket interaction.
- Reporting without segmenting by channel, team, or customer tier.