| Section | Metric | Value | Numeric Value | Unit |
| --- | --- | --- | --- | --- |
| Company Overview | Total Active Subscribers | 12,400 | 12400 | subscribers |
| Company Overview | Annual Recurring Revenue | $8.2M | 8200000 | USD |
| Company Overview | Monthly Churn Rate - Current | 4.8% | 0.048 | percent |
| Company Overview | Monthly Churn Rate - Target | 3.0% | 0.03 | percent |
| Company Overview | Monthly Churn Rate - Best in Class | under 2% | | percent |
| Company Overview | Total Cancellations (Past 6 Months) | 1,420 | 1420 | customers |
| Company Overview | Lost ARR (Past 6 Months) | $340,000 | 340000 | USD |
| Company Overview | Revenue Target Miss if Churn Continues | 18% | 0.18 | percent |
| Exit Survey Results | Exit Survey Response Count | 847 | 847 | responses |
| Exit Survey Results | Exit Survey Response Rate | 59.6% | 0.596 | percent |
| Exit Survey Results | Cost Concerns | 29% | 0.29 | percent |
| Exit Survey Results | Insufficient Features | 24% | 0.24 | percent |
| Exit Survey Results | Low Usage | 19% | 0.19 | percent |
| Exit Survey Results | Switched to Competitor | 12% | 0.12 | percent |
| Exit Survey Results | Technical Issues | 8% | 0.08 | percent |
| Exit Survey Results | Other Reasons | 8% | 0.08 | percent |
| Usage Analytics - Cancelled vs Retained | Avg Logins Per Week - Cancelled Customers | 2.1 | 2.1 | logins per week |
| Usage Analytics - Cancelled vs Retained | Avg Logins Per Week - Retained Customers | 8.3 | 8.3 | logins per week |
| Usage Analytics - Cancelled vs Retained | Feature Adoption Rate (First 30 Days) - Cancelled | 31% | 0.31 | percent |
| Usage Analytics - Cancelled vs Retained | Feature Adoption Rate (First 30 Days) - Retained | 74% | 0.74 | percent |
| Usage Analytics - Cancelled vs Retained | Avg Days to First Value - Cancelled | 18.4 | 18.4 | days |
| Usage Analytics - Cancelled vs Retained | Avg Days to First Value - Retained | 6.2 | 6.2 | days |
| Usage Analytics - Cancelled vs Retained | Support Tickets (30 Days Before Cancel) - Cancelled | 0.8 | 0.8 | tickets per customer |
| Usage Analytics - Cancelled vs Retained | Support Tickets (Monthly) - Retained | 1.4 | 1.4 | tickets per customer |
| Cohort Analysis by Tenure | Cancellations Within 90 Days | 72% | 0.72 | percent |
| Cohort Analysis by Tenure | Churn Rate - 0-30 Day Cohort | 6.2% | 0.062 | percent |
| Cohort Analysis by Tenure | Churn Rate - 31-60 Day Cohort | 4.8% | 0.048 | percent |
| Cohort Analysis by Tenure | Churn Rate - 61-90 Day Cohort | 3.9% | 0.039 | percent |
| Cohort Analysis by Tenure | Churn Rate - 91+ Day Cohort | 2.1% | 0.021 | percent |
| Behavioral Signals | Login Frequency Decline Threshold | 14 | 14 | consecutive days |
| Customer Segment Profile | Monthly Plan Customer Percentage | 68% | 0.68 | percent |
| Customer Segment Profile | Avg Customer Company Size | 15-50 | | employees |
| Customer Segment Profile | Customer Success Team Size | 4 | 4 | team members |
| Data Quality Notes | Exit Survey Coverage | 59.6% response rate | 0.596 | percent |
| Data Quality Notes | Non-Respondent Risk | Non-respondents may have different cancellation drivers | | |
Note: Data Source: Northwind subscription database and usage analytics platform
Note: Analysis Period: January 2025 - June 2025 (past six months)
Note: Report Date: July 15, 2025
Note: Prepared By: Customer Success Analytics Team
Note: Core Features Definition: task creation, team workspace setup, workflow template activation
Note: Time to First Value Definition: days from signup to first completed workflow or collaborative task
Note: At-Risk Definition: customers showing two or more negative behavioral signals within 30-day window
Note: Data Quality Note: Exit survey data represents 59.6% of cancellations; non-respondents may have different cancellation drivers
Note: Geographic Market: North America
Note: Product Category: Productivity SaaS platform (task management, team collaboration, workflow automation)
Note: Target Customer Segment: Small and mid-sized businesses
Note: Subscription Models: Monthly and annual plans available
Open resourceReducing Churn Through Behavior Analysis
Northwind
Northwind
Role: Customer Analytics InternA customer success team at Northwind is grappling with rising monthly churn that threatens the platform's growth trajectory. As a Customer Analytics Intern, learners must analyze subscription behavior data and draft targeted retention strategies to reduce cancellations and stabilize revenue.
Learner journey
Project Brief
Review Northwind's subscription cancellation challenge and your role as Customer Analytics Intern.
Manager Video Call
Meet Maya Patel to understand churn reduction priorities and success metrics.
Task Email
Receive assignment to analyze cancellation drivers and recommend retention strategies.
Review Resources
Examine customer behavior data, exit surveys, and usage analytics.
Written Task
Draft memo identifying cancellation drivers, at-risk signals, and prioritized retention interventions.
Feedback
Review performance feedback on your churn analysis and retention recommendations.
Chat Defense
Discuss your retention strategy recommendations with Maya Patel.
Key moments
Key Moments highlight the workplace artifacts that make your topic feel real — like calls, emails, resources, and files.
Simulation details
- Intent
- Practical Application
- Level
- Undergraduate
- Format
- MicroSim
- Steps
- 3 tasks
- Est. Duration
- 45 min
Sample Feedback & Report
How assessment works
Verify whether the student can accurately apply customer behavior analysis principles to identify cancellation drivers...
Concept Accuracy
Correctly applies customer behavior analysis principles such as churn indicators, cohort segmentation, and retention metrics to Northwind's subscription data.
Framework Usage
Follows structured analytical process: data review, driver identification, hypothesis formation, and evidence-based recommendation sequencing for Northwind retention strategy.
Contextual Application
Adapts retention frameworks to Northwind's specific context: fast-growth SaaS, SMB customer base, three-year maturity, and North American market dynamics.
Error Recognition
Identifies flawed assumptions about cancellation drivers, weak correlation-causation reasoning, or misapplication of retention tactics before finalizing Northwind recommendations.
Reasoning Clarity
Communicates analytical logic connecting Northwind data patterns to cancellation drivers to proposed interventions with transparent evidence trail and prioritization rationale.
Critical Thinking
Demonstrates structured reasoning with specific justifications when analyzing Northwind subscription patterns rather than surface-level assertions about churn.
Adaptability
Adjusts retention strategy when facing new Northwind data constraints or executive pushback rather than rigidly defending initial position.
Empathy
Considers how retention interventions affect Northwind customers, internal teams, and business sustainability when recommending strategies.
Intellectual Ownership
Proves genuine command of Northwind analysis during executive challenge, defending data interpretation and strategy substantively rather than deflecting.
Metacognition
Flags data limitations, qualifies assumptions about Northwind cancellation drivers, and adjusts reasoning when analytical gaps are identified.