Meetings are where advice turns into decisions.
What matters is not only what was discussed, but how the conversation was conducted. Clarity, listening, structure, and follow-through all directly impact client outcomes.
Meeting analytics in Vega gives you a structured way to review those elements after the meeting. Instead of relying on memory or intuition, you can see what actually happened, where the conversation worked well, and where it can improve.
Meeting analytics
After each meeting, Vega generates a full analysis in the Analytics tab of the meeting.
This analysis is structured into several sections, each focusing on a different dimension of the conversation.
Overview
The overview provides a high-level summary of the meeting.
It includes:
A score from 0 to 100 evaluating the overall meeting quality
A written assessment explaining what worked well and where improvements can be made
Participation gap: the difference between internal speakers (advisor and team) and external speakers (clients)
Questions: total, internal, and external
Action items identified during the meeting
Signals detected (opportunities, risks, blockers)
Unexplained jargon flagged
This section answers a simple question: Was this a strong meeting, and why?
Coaching evidence
This section highlights specific moments from the meeting as coaching feedback.
It includes:
Positive behaviors (e.g., clear explanations, effective questions)
Negative or missed opportunities (e.g., jumping to solutions too quickly, unclear next steps)
Direct links to the transcript so you can review the exact moment and context
This allows you to move from general feedback to precise examples of what actually happened.
Timeline
The timeline breaks the meeting into topics and shows:
What topics were discussed
How much time was spent on each topic
Where each topic appears in the transcript
This helps you understand how the conversation was distributed and whether time was spent where it mattered most.
Speaker participation
This section shows:
How much each participant spoke
When they spoke during the meeting
It gives a clear view of whether the conversation was balanced or dominated by one side.
Signals
Signals identify key moments in the conversation, including:
Opportunities
Risks
Blockers
Planning gaps
Each signal includes:
A priority level (low, medium, high)
A description of what was identified
A link to the exact moment in the transcript
This helps surface what requires follow-up or deeper attention.
Questions
This section lists all questions asked during the meeting, separated into:
Internal questions (advisor/team)
External questions (clients)
Each question can be traced back to the transcript.
This helps you assess the level of discovery and engagement in the conversation.
Jargon
Vega identifies technical terms used during the meeting and evaluates whether they were explained.
For each term, you can see:
The jargon used
Whether it was explained or not
Where it appeared in the transcript
This is particularly useful for improving clarity with clients.
Emotional cues
This section captures emotional signals expressed during the meeting, such as:
Concern
Uncertainty
Relief
Hesitation
For each cue, you can see:
Who expressed it
Whether it was acknowledged
How the advisor responded
The exact moment in the transcript
This helps assess how well the conversation addressed client emotions, not just technical content.
Action items
Vega identifies action items discussed during the meeting and structures them as:
Internal or external
Assigned owner (or shared)
Priority level (low, medium, high)
Each item can be traced back to the transcript.
This ensures that next steps are clear and grounded in what was actually said.
Reinstatements
This section captures moments where something was restated to confirm understanding.
For each restatement, you can see:
The restated statement
The original reference
When it occurred in the meeting
Restatements are a key signal of clarity and alignment.
Customize your meeting analytics
The evaluation of your meeting (score and overview section) can be customized.
To adjust this:
Go to your Vega Settings → Meeting types
Select a meeting type
Go to After the meeting → Coaching section
This allows you to define how Vega evaluates meeting quality for that specific meeting type.
Default coaching instructions
By default, Vega evaluates meetings based on:
Agenda setting
Discovery
Listening
Clarity
Responsiveness
Follow-through
It rewards behaviors such as:
Open-ended questions
Balanced participation
Plain-language explanations
Acknowledgment of concerns
Restatements
Clear next steps
And flags missed opportunities such as:
Jumping to solutions too quickly
Dominating the conversation
Using unexplained jargon
Ignoring emotional cues
Leaving ownership unclear
Ending without clear next steps
Score calibration
Scores are interpreted as follows:
90–100: exceptional meeting craft with strong discovery, clarity, and follow-through
75–89: strong meeting with only minor gaps
60–74: adequate meeting with noticeable improvement areas
40–59: weak meeting with several missed opportunities
0–39: poor meeting with major issues affecting clarity and usefulness
How to use this in practice
Meeting analytics are most useful when used consistently.
A simple approach:
Review the overview and score after each meeting
Look at 1–2 coaching evidence points
Check signals and action items
Identify one improvement to apply in the next meeting
Over time, this creates a feedback loop where each meeting improves the next.