Support Summary
Synthesizes resolved tickets into weekly/monthly patterns
// The problem
Support resolves 500 tickets/week but which product area has most issues, which features are most requested — gets lost. Product team doesn't get the signal.
// What it does
Analyzes all resolved tickets. Produces weekly reports of top 10 themes, most requested features, churn-related signals, agent performance.
// Value
Support data feeds real input into product decisions; a semantic clustering layer on top of Zendesk Explore.
⏱ Setup time: 3-5 gün
// How it works
- 01
Çözülen ticket'ları çek
- 02
Theme clustering (LLM)
- 03
Top 10 sorun + frekans
- 04
Feature request extraction
- 05
Agent performans (TTR, CSAT)
- 06
Ürün/CS/management için ayrı rapor
// Real example
Bir SaaS PM Cuma sabahları rapor: "Bu hafta top 3 sorun: (1) SAML SSO config (42 ticket), (2) Mobile app crash iOS 17.2 (28), (3) Export CSV encoding (19). Top feature isteği: Bulk import (15 mention). Churn-related: "reporting yetersiz" 8 kez geçti."
// Trigger
Cron (haftalık + aylık)
// Output channels
// Integrations
// Limits (honest)
- ×Ticket çözüm kalitesi = pattern kalitesi
- ×Çok küçük volume'de (<100 ticket/hafta) istatistiksel güç düşük
// SSS
01.Zendesk Explore'dan farkı?+
Explore sayısal raporlar. Biz semantic — "hangi konu artıyor" diye anlatır.
// Tech stack
// Don't see the one you need? Tell us — we ship in 2 days.
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