# Hablla Reports and Logs

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**.

#### 1. Consumption

* **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).

#### 2. Service 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.).

***

💡 **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.