Browse Problems
151 problems found
Identify feature requests that multiple customers are asking for
5 customers this week mentioned 'bulk export'. 3 mentioned 'dark mode'. Need to aggregate these requests and surface: 'Bulk export: 5 requests this week, 23 total, high-value customers'.
Route tickets to the right team based on technical complexity
Tier 1 support can handle password resets. Tier 2 handles API errors. Engineering handles database corruption. Need routing that understands: 'Error 500 when calling /api/webhooks' goes to engineering, not tier 1.
Extract actionable bug reports from rambling customer messages
Customer writes 3 paragraphs about their frustration. Buried in there: 'When I click Export on the Reports page, nothing happens'. Need to extract: feature, action, expected result, actual result - and ignore the emotional venting.
Generate context-aware auto-responses that don't sound robotic
Customer asks: 'Why was I charged twice?' Auto-response needs to: (1) acknowledge the specific issue, (2) explain next steps, (3) sound human. Generic 'We received your ticket' responses make things worse.
Detect SLA breach risk before the deadline hits
SLA says 'respond within 4 hours'. It's been 3 hours and the ticket is still unassigned. Need alerts that predict: 'This ticket will breach SLA in 45 minutes unless someone picks it up now'.
Classify support tickets by churn risk, not just sentiment
Sentiment analysis says 'negative', but that's not enough. Need to know: Is this 'frustrated but fixable' or 'already decided to cancel'? Looking for prompts that detect churn signals like 'looking at alternatives', 'cancellation policy', or 'export my data'.
Calculate lifetime value (LTV) that accounts for actual churn patterns
Generic LTV formulas assume constant churn. Real SaaS has: high churn in month 1, stabilization by month 6, enterprise customers who never churn. Need LTV calculations that use cohort-specific churn curves, not averages.
Identify tax-deductible expenses from mixed personal/business transactions
Indie founders use personal cards for business expenses. Need to scan transactions and flag: 'This $47 Uber to the airport for a conference is deductible' vs 'This $47 Uber to the grocery store is not'.
Flag high-risk transactions before they become chargebacks
Certain patterns predict chargebacks: first-time customer + high-value purchase + VPN + disposable email. Need to score transactions in real-time and flag the risky ones before fulfillment.
Calculate SaaS revenue recognition for annual plans under ASC 606
Customer pays $12,000 upfront for annual plan. Can't recognize it all in month 1 - need to spread it over 12 months per ASC 606. Need prompts that handle: partial months, mid-month starts, upgrades, downgrades, and refunds.