Find the $50k bugs hiding in your support tickets
Your support tickets contain churn signals, product bugs, and friction points that never reach the product team. AI-powered analysis surfaces what matters before it costs you customers.
Who this is for
- SaaS support and success leaders
- Product managers wanting support insights
- Founders tracking customer health
The hidden cost of unanalyzed tickets
- Critical bugs reported by 3 users affect 300 silently.
- Churn signals buried in ticket volume never reach product.
- Volume-based prioritization misses high-impact, low-frequency issues.
What you get
Urgency detection: Critical, High, Medium, Low for every ticket.
Churn risk tagging: Identify customers about to leave.
Theme clustering: See patterns across 1,000s of tickets.
Impact scoring: Which issues correlate with churn?
Trend alerts: Catch emerging problems before they spike.
Export to PowerPoint for executive reporting.
Powered by the same AI insights engine
Regardless of your use case, our core engine ensures you get consistent, high-quality analysis every time.
- NPS, CSAT, CES where applicable
- Positive & negative drivers
- Top strengths & weaknesses
- 2–3 line AI overview per project
- Per‑response sentiment & intent
- Urgency & emotion detection
From ticket chaos to clarity
Export tickets from Zendesk, Intercom, or your helpdesk (CSV).
Upload to FeedPulse AI. Get instant theme extraction and urgency tagging.
Filter by urgency + churn risk to find the silent killers.
In practice
The $50k Bug Story
"Only 3 users reported a Safari login bug. But urgency detection flagged it as critical churn risk. Investigation revealed 300 users affected, $50k/year in churned revenue. The bug was fixed in a week. Traditional volume-based triage would have missed it for months."