Reference for Magic Analytics topics — aggregate and detailed grains across Magic Agent, AI Accuracy, Value Realization, Threads, Voice AI, Messenger, and more.
Beyond the pre-built dashboards, Magic Analytics lets you explore your data by topic. A topic is a curated, governed view of related metrics and fields that the Dashboard Agent can safely analyze for you.Topics help keep exploration consistent: the numbers you find through a topic match the numbers shown in your dashboards. You will only see data from your own organization.
Dashboard Agent topic exploration requires an AI Pro plan.
Each topic has a grain: the level of detail it holds. It’s worth knowing which kind you’re working with:
Aggregate topics are rolled up in advance (for example, one row per partner or per technician per month). They’re fast and great for scorecards, trends, and rollups, but they don’t drill down to an individual ticket, call, or session.
Detailed topics keep one row per record (a ticket, a call, a session). Use these when you need to drill into specifics.
Partner-level summary of Triage Agent and Reminder Agent performance. Best for scorecards, leaderboards, and adoption health checks (zero-touch rates, session counts, retention).
Triage Agent
Detailed, one row per session
Session-level detail for every Triage Agent interaction. Use to analyze how individual sessions resolved (AI-resolved, tech handoff, intervention, etc.), response-time benchmarks, and technician feedback.
Triage Agent Funnel
Detailed, one row per ticket × funnel stage
Full ticket-population funnel, including tickets that never had a triage session. Best for sankey / funnel visualizations showing the complete flow from ticket intake to outcome.
Reminder Agent
Detailed, one row per ticket
Ticket-level lifecycle for Reminder Agent. Use for completion rates, scheduling patterns, and partner enablement audits.
Aggregate — one row per partner × board × feature × month
Partner ROI, time savings, and AI adoption metrics. The go-to topic for QBR prep and proving value delivered — covers dollar savings, FTE equivalents, ROI multiples, and service quality.
Chat deployment and adoption across Teams, Slack, Desktop, and Web. Use to track rollout progress, identify inactive deployments, and compare chat vs. email response times.
The most granular topic — covers volume, resolution time, priority, status, AI feature usage per ticket, sentiment, time entries, and voice calls.
Service Performance Review
Detailed — one row per support request
Client-facing QBR dataset designed for sharing with end customers. Uses business-friendly language — support requests, satisfaction scores, channel mix, and recurring issues.
Per-technician metrics: throughput, response speed, sentiment trends, backlog, and AI leverage. Built for manager leaderboards and team rollups. Covers 8 pre-built time windows (last 7d, 30d, 90d, etc.).
Magic Member Usage
Aggregate, one row per technician
Per-technician Super Magic and Time Entry AI usage totals. Use to see which technicians are adopting AI features most.
Inbox / Pods activation, adoption, team collaboration, and PSA migration opportunity analysis at the partner level.
Planner
Aggregate, one row per company × day
Daily and monthly technician engagement with Thread Planner. Tracks scheduling activity, DAU/MAU stickiness, and prospective vs. retrospective scheduling behavior.
Every dashboard is built on these same governed topics, so exploring a topic gives you numbers consistent with the dashboards. For example, the ROI Value Realization dashboard draws on the Value Realization topic, and the Assistive AI Accuracy dashboard draws on AI Accuracy.
When you ask the Dashboard Agent a question, it draws on these topics to answer. Naming the area and a time frame helps it answer faster and more precisely — for example “Triage Agent session outcomes last month” or “Value Realization ROI this quarter.”See the Dashboard Agent guide.
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