Dashboard Overview
The main view shows a filterable list of all conversations with key data at a glance:| Column | Description |
|---|---|
| Contact | Lead name and contact details |
| Agent | Which AI agent handled the conversation |
| Outcome | Booked, qualified, nurture, lost, or escalated |
| Messages | Number of messages exchanged |
| Duration | How long the conversation lasted |
| Source | Which content/CTA originated this lead (attribution data) |
| Date | When the conversation occurred |
Conversation Detail
Click any conversation to see the full detail view:Transcript
The complete message history between the AI agent and the contact. Each message shows:- Sender (agent or contact)
- Timestamp
- Message content
Outcome Classification
How the conversation ended:| Outcome | Meaning | Next Step |
|---|---|---|
| Booked | Appointment scheduled | Follow up to confirm |
| Qualified | Lead meets criteria but didn’t book | Enter nurture sequence |
| Nurture | Interested but not ready | Enter nurture sequence |
| Lost | Disengaged or disqualified | Review for pattern insights |
| Escalated | Handed off to human agent | Human takes over |
Attribution Data
If the lead came through a tracked CTA:- Content asset — Which page they visited
- CTA clicked — Which call to action they engaged with
- Attribution ID — The
cr_attribthat links this conversation to the content funnel
Contact Information
HighLevel contact details including:- Name, email, phone
- Custom fields (including
cr_attrib) - Contact tags and pipeline stage
- Team member assignment
Filtering
Narrow conversations using:- Agent — Focus on a specific AI agent’s conversations
- Outcome — Show only booked conversations, only lost, etc.
- Date range — This week, this month, custom range
- Team member — Filter by assigned team member
- Source — Filter by originating content asset or CTA
Conversion Funnel
The dashboard includes a visual conversion funnel showing:- Total conversations initiated
- Engaged — Multi-turn conversations (contact replied at least once)
- Qualified — Conversations that reached qualification criteria
- Booked — Conversations resulting in appointments
Taking Action
| Finding | Action |
|---|---|
| Low engagement rate | Review agent prompt — is the opening message compelling? |
| High “lost” rate from a specific source | The content/CTA may be attracting the wrong audience — adjust targeting |
| Conversations are long but don’t convert | Agent may be looping. Simplify the prompt and add clearer decision paths. |
| One agent outperforms others | Compare prompts and replicate the winner’s patterns |