CycleSignal

CycleSignal is a web app (with optional Slack/Teams integration) that finds recurring temporal patterns in operational metrics—incidents, support tickets, build failures, sales pipeline stalls, churn, or website latency. You connect common data sources (Jira, Zendesk, GitHub, Datadog, GA4, Stripe exports) and it automatically runs seasonality and change-point analysis to surface weekly/monthly cycles, “first business day” effects, end-of-quarter spikes, and hidden lead/lag relationships. Instead of generic dashboards, it generates plain-language insights like: “P1 incidents spike 38% on Mondays after release weekends” or “Churn rises 10–14 days after failed onboarding events.” It also provides forecast bands and a simple alerting layer so teams can act before the next cycle hits. This is an AI + traditional analytics app: classical time-series methods for reliability, plus LLM summaries to make findings readable and shareable.