Last updated
Was this helpful?
Hablla's reports are designed to transform operational data into actionable insights, connecting Marketing, Sales, Support and Customer Success from the perspective of Conversation Revenue.
Messaging Sessions → Volume of opened conversation windows.
Flow Executions → Real-time monitoring of automations.
Total AI Consumption → Tokens consumed per AI model, transcription time and usage distribution (ideal for cost optimization).
Service Times → SLA, queue time, bot time and average handling time.
Interactions per User → Individual performance comparison: CSAT, FCR and productivity.
Interactions by Tag → Grouping of interactions by TAGs (e.g.: error, support, sales).
Interactions by Closure Reason → Analysis of closures (issue resolved, no response, not interested etc.).
People by Tag → Engagement and contact segmentation (Onboarding, Workspace created, Referral).
Tasks per User → Management of individual deliveries, efficiency and delays.
User Logs → Record of availability, unavailability and reasons (absence, high demand etc.).
💡 Strategic insight: This reporting structure ensures a 360º view of the operation, enabling everything from granular control (e.g.: average response time) to macro performance analysis (e.g.: AI usage by model, departmental efficiency, reasons for losing leads).
Thus, the manager can act in a proactive, adjusting conversational journeys, allocating resources and prioritizing improvements that directly impact conversational revenue.
Last updated
Was this helpful?
Was this helpful?

