cotera

Fireflies Team Meeting Intelligence

Track how your team spends time in meetings — total hours, meeting frequency, participation patterns — using Fireflies transcript data.

Meeting analyticsTime trackingTeam productivityParticipation metrics

The Challenge

Meeting overload is one of the biggest productivity killers, but most teams have no visibility into how much time they actually spend in meetings. Without data, it is impossible to know if your team is spending 20% or 50% of their week in calls, which meetings are too long, or who is getting pulled into too many conversations.

What This Prompt Does

Meeting Time Analysis

Calculates total meeting hours per person and for the team

Participant Frequency

Tracks who attends the most meetings and identifies over-booked team members

Meeting Duration Trends

Analyzes average meeting length and trends over time

Topic Distribution

Maps what topics come up most frequently across all meetings

The Prompt

The Prompt

Task

Analyze team meeting patterns using Fireflies data — total hours in meetings, per-person participation, meeting frequency trends, average duration, and topic distribution.

Input

The user will provide a team name, time range, or specific people to analyze.

Example: "How much time did the engineering team spend in meetings last week?" or "Show me meeting trends for the last month"

Context

Strategy

  1. Use @Fireflies/List UsersName it "Fireflies/List Users" and call it with @Fireflies/List Users to get the team roster and user details
  2. Use @Fireflies/Get UserName it "Fireflies/Get User" and call it with @Fireflies/Get User to pull additional context for specific team members
  3. Use @Fireflies/List TranscriptsName it "Fireflies/List Transcripts" and call it with @Fireflies/List Transcripts to pull all meetings in the time range
  4. Use @Fireflies/Get TranscriptName it "Fireflies/Get Transcript" and call it with @Fireflies/Get Transcript for each meeting to extract duration, participants, and topics
  5. Calculate aggregate metrics and identify patterns

Analysis Dimensions

  • Meeting Time Analysis: Total hours spent in meetings per person and for the team
  • Participant Frequency: Who attends the most meetings, who is in the fewest
  • Meeting Duration Trends: Average meeting length, longest/shortest meetings, trend over time
  • Topic Distribution: What topics come up most frequently across meetings
  • Meeting Overlap: How often team members are double-booked or in back-to-back meetings
  • Meeting Size: Average number of participants, meetings with too many or too few people

Output Structure

  • Team Overview: Total meetings, total hours, average per person
  • Per-Person Breakdown: Meeting count, total time, percentage of work week in meetings
  • Duration Analysis: Average, median, min, max meeting lengths
  • Frequency Trends: Meetings per day/week, trend direction
  • Topic Heatmap: Most common discussion topics
  • Recommendations: Suggestions for optimizing meeting time

Quality Guidelines

  • Present data in tables or structured formats for easy scanning
  • Compare against benchmarks (e.g., 30% of work week in meetings is typical)
  • Flag outliers (someone in 30+ hours of meetings, or a 3-hour meeting)
  • Include week-over-week or month-over-month trends when data is available

Output

A meeting intelligence report containing:

  • Team and per-person meeting time metrics
  • Duration and frequency trend analysis
  • Topic distribution across meetings
  • Actionable recommendations for meeting optimization

Example Usage

Try asking:

  • →"How much time did the engineering team spend in meetings last week?"
  • →"Show me meeting duration trends for the last month"
  • →"Who on my team is spending the most time in meetings?"