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Documentation Index

Fetch the complete documentation index at: https://semantiks.mintlify.app/llms.txt

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The Semantiks Console dashboard gives enterprises real‑time visibility into conversations led by AI agents across all connected channels. Its design supports two complementary objectives: understand system‑level behavior (volumes, duration, engagement) and quickly drill into any single session for evidence‑based decisions (retuning prompts, updating knowledge, or handing issues to operations). Start with the high‑level structure to frame what you’re seeing, then use the right‑side panel to read details without losing your place.
Around the first week of September 2025, the Conversations Dashboard will be updated to include a unified filter that applies both to the KPIs and the Conversations Table, ensuring consistent data views. Additionally, our team is currently working on fixing certain reporting bugs affecting KPIs to improve accuracy and reliability.

Overview of the Dashboard

When you access the Conversations Dashboard, you will see:
  • KPIs (Key Performance Indicators): High-level metrics summarizing performance.
  • Conversations Table: A detailed list of all conversations with users.
  • Conversation Panel: A right-side panel that shows more details when you click on a conversation.

KPIs Cards

The top section provides at-a-glance metrics:
  • Total conversations – The number of conversations in the selected time range.
  • Average duration – The average length of conversations.
  • User messages – Average number of messages sent by users.
  • Agent messages – Average number of messages sent by the agent.

Green arrows indicate growth compared to the previous period, while red arrows indicate a decrease.
You can filter the time range by selecting Today, 7D, 30D, or Year.

Conversations Table

Below the KPIs, you will find a table with all recorded conversations. Each row represents a conversation with details such as:
  • Channel: The communication channel used (e.g., Freshchat Bubble).
  • Profile Name: Name of the user (if captured by the channel).
  • External ID: User ID from the channel.
  • Last Message: Preview of the most recent message in the conversation.
  • Number of Messages: Total messages exchanged (with the AI agent).
  • First Response Time (FRT): The time elapsed between the user’s first message and the agent’s first reply. Displayed in a human-readable format (e.g., 45s, 2m 30s, 1h 15m).
  • Average Response Time (ART): The average time the agent took to respond across all messages in the conversation. Uses the same human-readable format as FRT.
  • Start: Date and time when the conversation started.
  • Control: Indicates who ended the conversation (agent or human).
  • Status: Current status of the conversation (Active, Ended).
  • Tag: Labels or categories assigned to the conversation.
  • Bubble: Opens the Conversation Panel for more details.
FRT and ART help you measure how quickly your agent is responding to users. Both columns are sortable, so you can quickly identify conversations with unusually long response times and investigate further.

The dashboard allows you to quickly find relevant conversations:
  • Search Bar: Search by conversation content, external user ID, or messages.
  • Filters:
    • Channel – Filter by the communication channel (e.g., Bubble, Platform, WhatsApp).
    • Status – Active or Ended conversations.
    • Tags – Filter by tags assigned to conversations.
    • Date range – Select a time period for conversations.

Exporting Conversations

You can export your conversations to a CSV file. The export includes all visible columns, including First Response Time and Average Response Time (shown in seconds in the exported file).

Conversation Panel

Clicking on a conversation row (or the bubble icon) opens the Conversation Panel on the right side. This panel shows:
  • Full conversation transcript
  • User and agent message details
  • Metadata and context information
  • Tags and status
Use this panel to review individual conversations without leaving the main dashboard view.