Churn risk predictor for customer retention.
A retention workflow for teams that need to spot at-risk accounts early and assign the right intervention.
Churn Risk Predictor made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
— Product team
Churn probability by customer
Product activity change
Why the score moved
CS follow-up suggested
Customer success teams often learn about churn after usage has already dropped.
They need risk scores, usage trends, churn drivers, and recommended interventions before renewal risk becomes irreversible.
The workflow needed a visual and operational story that buyers can scan quickly: what comes in, what the AI does, what a human reviews, and where the result lands.
Usage, support, billing, and relationship context all matter.
Customer success teams need to know what changed.
A warning is only useful if it maps to an action.
Risk windows need to align with account cycles.
We framed churn prediction as a customer health workflow.
The dashboard shows account lists, risk scores, usage trends, churn drivers, and a suggested intervention.
The project is framed around the business workflow itself: the source inputs, AI review, approval points, and final handoff are all visible in one story.
- Account list with risk scores.
- Usage trend and health indicators.
- Churn drivers tied to the score.
- Suggested intervention for customer success.
Account list
Risk is shown where CS teams already prioritize work.
Driver panel
The score includes explainable reasons.
Trend chart
Usage change is visible over time.
Suggested action
Each risk state points to a next intervention.
Workflow audit
Mapped source inputs, users, review points, and the final business action.
AI task design
Defined classification, extraction, drafting, prediction, or detection responsibilities.
Human review path
Added approval, exception, and escalation points where judgment matters.
Product narrative
Turned the workflow into a clear buyer story for sales conversations, reviews, and handoff.
- Usage events
- Support tickets
- Billing history
- CRM notes
- Trend windows
- Engagement drops
- Ticket volume
- Renewal stage
- Churn score
- Drivers
- Confidence
- Segments
- Intervention
- Owner task
- Health dashboard
- Renewal report
Churn prediction matters when a score is paired with a clear driver and a next action.
Clearer product surface: Churn Risk Predictor now communicates the workflow through the actual review states, handoffs, and outcomes buyers care about.
Faster buyer clarity: the problem, workflow, proof points, and next action are easy to understand without a technical walkthrough.
Churn Risk Predictor made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
- Usage events
- Support tickets
- Billing history
- CRM notes
- Trend windows
- Engagement drops
- Ticket volume
- Renewal stage
- Churn score
- Drivers
- Confidence
- Segments
- Intervention
- Owner task
- Health dashboard
- Renewal report
- Human review
- Audit trail
- Quality checks
- Fallback rules
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