Meetric AI (Ask Meetric)
Meetric AI helps you get answers from your conversations. Ask questions in natural language, get instant evidence-backed responses from your conversation library, and uncover patterns you might have missed.
What is Meetric AI?#
Meetric AI is an AI-powered assistant that understands your conversations and can answer questions about them in natural language. Think of it as having a research assistant who has read every meeting, call, and conversation in your organization.
Search & Retrieve
Find specific information across all your conversations
Analyze & Summarize
Get insights and summaries from multiple conversations
Identify Patterns
Discover trends, recurring themes, and anomalies
How Meetric AI works#
Meetric AI uses advanced AI to understand your questions and retrieve relevant information:
Understanding
Meetric AI analyzes your question to understand what you're looking for
Searching
Searches across transcripts, summaries, and insights using semantic understanding
Synthesizing
Combines information from multiple sources to form a comprehensive answer
Presenting
Provides the answer with references to source conversations
Note
Consulting Experts (AI Employees)
For complex questions, Meetric AI can consult your configured AI Employees (specialized “managers” like a Sales Analyst) and include their memos directly in the chat as separate speakers.
You can set these up in AI Agents → AI Employees.
Accessing Ask Meetric#
You can interact with Meetric AI (Ask Meetric) in several ways:
Always available from any page via the right sidebar
Press Command+K (Mac) or Ctrl+K (Windows) from anywhere
Context-aware questions about specific conversations
Ask questions about dashboard metrics and trends

Asking Questions#
Meetric AI understands natural language, so you can ask questions as you would to a colleague. No special syntax or commands required.
Types of Questions#
Here are the main categories of questions Meetric AI can answer:
Factual Retrieval
Find specific information mentioned in conversations
Summarization
Get summaries across multiple conversations
Comparison
Compare and contrast information
Trend Analysis
Identify patterns and changes over time
Action Items
Track commitments and follow-ups
Crafting Better Questions#
While Meetric AI understands natural language, more specific questions yield better answers:
Specific criteria and timeframe help Meetric AI focus the search
Defining scope (specific customer) makes the answer more relevant
Adding context helps Meetric AI understand which conversations to search
Pro Tips
- Include time ranges when relevant ("last week", "Q1 2024")
- Mention specific people, companies, or topics to narrow results
- Ask follow-up questions to drill deeper - Meetric AI maintains conversation context
- Use "why" and "how" questions for deeper analysis
Real-World Query Examples#
Here are proven query patterns from successful Meetric users:
Context & Conversation Selection#
Meetric AI can search across all your conversations or focus on specific ones. Understanding context helps you get more precise answers.
Global vs. Contextual Queries#
Global Mode
Search across all accessible conversations
When: Default mode when launching Ask Meetric from sidebar or ⌘K
Contextual Mode
Focus on specific conversation(s)
When: Automatically activated when asking from a conversation page
You can switch modes or specify context in your question:
# Global search
"What are common objections in sales calls?"
# Specify timeframe
"What are common objections in sales calls from last week?"
# Specify people
"What did Sarah discuss in her calls with enterprise customers?"
# Specify company
"Summarize all conversations with Acme Corp"
# This conversation only
"What action items were mentioned in this call?"Using Filters#
Apply filters to narrow Meetric AI's search scope:
- Date Range: "in the last 30 days", "since January", "Q1 2024"
- Department: "in sales calls", "from support team", "engineering meetings"
- Participants: "with John Smith", "where Sarah was present"
- Tags: "tagged as urgent", "labeled enterprise"
- Status: "completed calls", "pending follow-ups"

Conversation References#
Meetric AI always cites sources for its answers. You can click references to:
- View the original conversation
- Jump to the specific timestamp where information was mentioned
- See surrounding context in the transcript
- Verify accuracy and get more details
Note
Best Practices#
Get the most out of Meetric AI with these proven strategies from power users.
Daily Workflows#
Morning Standup Prep
- 1. Ask: 'What meetings did I have yesterday?'
- 2. Follow up: 'What action items were assigned to me?'
- 3. Plan: 'Show me my scheduled calls for today'
Pre-Call Research
- 1. Ask: 'Summarize previous conversations with [Company Name]'
- 2. Follow up: 'What were their main concerns last time?'
- 3. Prepare: 'What commitments did we make to them?'
End of Day Review
- 1. Ask: 'What were the key takeaways from today's calls?'
- 2. Track: 'What follow-ups do I need to complete?'
- 3. Share: Export summary for team update
Team Collaboration#
Use Meetric AI to facilitate team knowledge sharing:
- Onboarding: "Summarize how we typically handle enterprise demos" helps new team members ramp up
- Best Practices: "What techniques do top performers use in discovery calls?" surfaces winning patterns
- Handoffs: "Summarize Sarah's conversations with Acme Corp" helps during account transfers
- Training: "Show examples of effective objection handling" creates coaching opportunities
Tip
Strategic Insights#
Use Meetric AI for higher-level strategic analysis:
Market Intelligence
- What competitors are customers mentioning most?
- What market trends come up in executive conversations?
- How are economic conditions affecting buying decisions?
Product Strategy
- What features do customers request most frequently?
- Which pain points come up in conversations with churned customers?
- How are customers using our product differently than intended?
Sales Optimization
- What's the average deal cycle based on successful sales calls?
- Which value propositions resonate most with enterprise customers?
- At what point in conversations do customers typically commit?
Accuracy & Verification#
While Meetric AI is highly accurate, always verify important information:
- Click through to source conversations for critical decisions
- Check multiple references if an answer seems surprising
- Ask for clarification if the answer is ambiguous
- Use "Show me the transcript" to see full context
Warning
Advanced Techniques#
Master these advanced features to unlock Meetric AI's full potential.
Multi-Step Analysis#
Build complex analyses through conversation with Meetric AI:
You: "What are the most common reasons customers mention for
considering our competitors?"
Meetric AI: [Lists top 5 reasons with examples]
You: "For each of those reasons, how have we successfully
addressed them in won deals?"
Meetric AI: [Shows successful counter-strategies]
You: "Create a playbook for handling these objections"
Meetric AI: [Generates structured playbook with examples]Meetric AI maintains conversation context, so each question can build on previous answers.
Comparative Analysis#
Compare segments, time periods, or cohorts:
Sentiment & Tone Analysis#
Ask Meetric to analyze emotional tone and sentiment:
- "What was the customer's sentiment in the most recent call?"
- "Identify calls where customers expressed frustration"
- "How has customer satisfaction trended over the quarter?"
- "Which product areas generate the most positive feedback?"
Next Steps
Ready to start using Meetric AI (Ask Meetric)? Here's what to explore next: