meeting-cost-calculator
π° Meeting Cost Calculator
Analyzes your calendar to compute exactly how much time you spend in meetings over a given period. Breaks down total hours, percentage of your work week consumed, average meeting duration, attendee-hours (a proxy for organizational cost), and ranks your most expensive recurring meetings so you can make data-driven decisions about which to keep, shorten, or cancel.
When to Use
- "How much time do I spend in meetings?"
- "Calculate my meeting load for this week"
- "What percentage of my time is in meetings this month?"
- "Show me my most expensive meetings"
- "Analyze my meeting costs for the last 4 weeks"
- "Which recurring meetings consume the most time?"
Instructions
Step 1: Get User Profile, Timezone, and Working Hours
workiq-ask_work_iq (
question: "What is my display name, email address, time zone, and configured working hours (start time, end time, and working days of the week)?"
)
Extract displayName, mail, timeZone, working hours start/end, and working days from the response. Calculate the total available work hours per week (e.g. 5 days Γ 8 hours = 40 hours).
Step 2: Pull Calendar Data for the Period
Determine the analysis period from the user's request (default: current week). For multi-week analysis, pull the full range.
workiq-ask_work_iq (
question: "List all my calendar events from {period start date} to {period end date} including the subject, start time, end time, attendees list with count, whether it is an all-day event, whether it is cancelled, recurrence details, organizer, showAs status, and event type."
)
Filter out cancelled events, all-day events, and events where showAs is "free". These do not count as meeting time.
Step 3: Compute Core Metrics
For each qualifying event, compute:
- Duration in minutes:
(end - start) - Attendee count: length of
attendeesarray + 1 (organizer) - Attendee-hours:
duration_hours Γ attendee_count - Is recurring: check if
typeis"seriesMaster"orrecurrenceis populated
Aggregate across the period:
- Total meeting hours: sum of all durations
- Meeting count: total number of events
- Average meeting duration: total hours / meeting count
- Work hours in period: working days Γ daily work hours
- Meeting percentage: (total meeting hours / work hours) Γ 100
- Total attendee-hours: sum of all attendee-hours
Step 4: Break Down by Day
Group meetings by day and compute daily meeting load:
- Total hours per day
- Number of meetings per day
- Longest consecutive meeting streak
Build a per-day bar chart for visual display.
Step 5: Identify Most Expensive Recurring Meetings
Group recurring meeting instances by their series subject. For each series:
- Count occurrences in the period
- Total hours consumed
- Average attendee count
- Total attendee-hours across all instances
- Frequency (daily, weekly, biweekly, monthly)
Sort by total hours descending. The top entries are the "most expensive" meetings.
Step 6: Generate Cost Insights
Compute actionable insights:
- If meeting % > 60%: flag as "β οΈ Meeting overload β consider auditing recurring meetings"
- If any single recurring meeting > 3 hours/week: flag as a reduction candidate
- If average meeting length > 45 min: suggest defaulting to 25-minute or 50-minute meetings
- If any day has > 6 hours of meetings: flag that day as a risk for burnout
Output Format
π° MEETING COST CALCULATOR
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π
Period: July 14 β 18, 2025 (1 week)
π€ User: Firstname1 Lastname1
β° Work week: 40 hours (MonβFri, 9 AM β 5 PM PST)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π SUMMARY
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Total meeting time: 22.5 hours
Meeting count: 18 meetings
Work time in meetings: 56.3% β οΈ Above 50% threshold
Average duration: 1h 15m
Total attendee-hours: 112.5 hours
Longest meeting streak: 3h 30m (Tuesday)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π DAILY MEETING LOAD
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Mon β ββββββββββββββββββββ 3.0h (37%) 4 meetings
Tue β ββββββββββββββββββββ 6.5h (81%) 5 meetings β οΈ
Wed β ββββββββββββββββββββ 5.0h (62%) 4 meetings
Thu β ββββββββββββββββββββ 4.0h (50%) 3 meetings
Fri β ββββββββββββββββββββ 4.0h (50%) 2 meetings
βββββββββββββββββββββ
0h 2h 4h 6h 8h
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π MOST EXPENSIVE RECURRING MEETINGS
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Meeting Freq Dur Attend Hours/Wk
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
1 Sprint Planning Weekly 2h 00m 12 2.0h β οΈ
2 Team Standup Daily 0h 30m 8 2.5h β οΈ
3 Design Review Weekly 1h 30m 6 1.5h
4 1:1 with Manager Weekly 0h 30m 2 0.5h
5 All-Hands Weekly 1h 00m 50 1.0h
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π‘ INSIGHTS & RECOMMENDATIONS
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β οΈ 56% of your work week is in meetings β aim for < 40%
β οΈ Tuesday is dangerously overloaded (6.5h of meetings)
π‘ Team Standup costs 2.5h/wk across the team β consider
async standups 2 days/week to save 1h
π‘ Sprint Planning at 2h may benefit from a 90-min timebox
π‘ Consider "No Meeting Tuesday" to reclaim 6.5h
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
period |
No | "this week" |
Analysis period: "this week", "last week", "this month", "last 4 weeks", or custom date range |
startDate |
No | Auto | Custom start date in ISO 8601 |
endDate |
No | Auto | Custom end date in ISO 8601 |
includeDeclined |
No | false |
Whether to include meetings you declined |
meetingOverloadThreshold |
No | 50 |
Percentage above which to flag meeting overload |
Required MCP Tools
| MCP Server | Tool | Purpose |
|---|---|---|
| workiq (Local WorkIQ CLI) | ask_work_iq |
Get user profile, timezone, working hours, and retrieve calendar events for the analysis period |
Tips
- Run monthly to track trends β are your meetings growing or shrinking?
- Share the output with your manager to justify meeting pruning.
- Use the "Most Expensive" table to decide which recurring meetings to audit, shorten, or cancel.
- Attendee-hours is the best proxy for organizational cost β a 1-hour meeting with 10 people costs 10 person-hours.
- After identifying days with low meeting load, consider blocking focus time on your calendar.
- Events with
showAs: "free"are excluded since they don't block your calendar.
Examples
Example 1: Analyze the current week
"How much of my time is in meetings this week?"
Claude fetches your calendar for the current MonβFri, computes total meeting hours against your configured work hours, and returns a full breakdown including daily load chart, recurring-meeting rankings, and any overload flags.
Example 2: Monthly analysis with custom threshold
"Analyze my meeting costs for this month and flag anything above 40% of my time."
Claude sets meetingOverloadThreshold to 40, pulls the full month of calendar data, aggregates all metrics, and highlights any day or week where meetings exceeded that threshold β plus surfaces the top recurring meetings driving the highest attendee-hours.
Example 3: Last 4 weeks trend
"Which recurring meetings have cost me the most time over the last 4 weeks?"
Claude retrieves four weeks of calendar data, groups recurring series across the entire range, and ranks them by total hours consumed. Useful for preparing a meeting-audit conversation with your manager or team.
Error Handling
Calendar data unavailable or empty
If ask_work_iq returns no events for the requested period, confirm the date range is correct and that the authenticated account has calendar read permissions. Remind the user that events on secondary or shared calendars are not included unless those calendars are surfaced in the primary view.
Timezone or working-hours settings missing
If ask_work_iq returns no working hours information, fall back to a standard 40-hour work week (MonβFri, 9 AM β 5 PM UTC) and inform the user that results may not reflect their actual schedule. Prompt them to verify timezone settings in their Microsoft 365 profile.
Attendee count is zero or undefined
Some events (e.g., personal blocks or private meetings) may omit the attendees field. In these cases, default attendee count to 1 (the user only) so attendee-hours still accumulate correctly. Flag these events in a footnote as "attendee data unavailable."
Period spans a holiday or non-working period
If work hours for a given day are zero (weekend, public holiday), exclude that day from the work-hours denominator to avoid inflating the meeting percentage. If the entire requested period falls outside normal working days, notify the user and suggest choosing a different range.
Insufficient permissions
If MCP tool calls return a 403 or permission error, instruct the user to ensure the Claude integration has Calendars.Read scope granted in their Microsoft 365 tenant admin settings.