Hablla Reports and Logs

Hablla reports were designed to transform operational data into actionable insights, connecting Marketing, Sales, Support and Customer Success through the lens of Conversation Revenue.

1. Consumption

• Messaging Sessions → Volume of open conversation windows.

• Flow Executions → Real-time automation monitoring.

• Total AI Consumption → Tokens consumed per AI model, transcription time and usage distribution (ideal for cost optimization).

2. Support Interactions

• 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.).

3. Leads and People

• People by Tag → Engagement and contact segmentation (Onboarding, Workspace created, Referral).

4. Tasks

• Tasks per User → Management of individual deliveries, efficiency and delays.

5. Logs

• User Logs → Record of availability, unavailability and reasons (absence, high demand, etc.).

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💡 Strategic insight: This reporting structure ensures a 360º view of the operation, allowing everything from granular control (e.g.: average response time) to macro performance analysis (e.g.: AI usage by model, department 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.