Meetings That Could Be Emails Model
10
Calculate the annual number of meetings that should have been emails based on corporate culture.
NOTEAbout This Model
## Calculate the annual number of meetings that should have been emails based on corporate culture. This model estimates **Wasted Meetings Count** based on uncertain inputs: Meetings Per Week, Email Probability, Corporate Culture Factor. Run the simulation to see the distribution of possible outcomes.
VARIABLEEmail Probability
beta(10, 10)
Baseline probability that a meeting topic is suitable for asynchronous communication.
email_probability
VARIABLECorporate Culture Factor
triangular(0.5, 1, 1.5)
Modifier for culture efficiency: >1.0 favors emails, <1.0 favors unnecessary face-time.
corporate_culture_factor
VARIABLEMeetings Per Week
poisson(6)
Typical corporate range for individual or team meeting frequency.
meetings_per_week
FORMULAAdjusted Email Prob
max(0, min(1, email_probability * corporate_culture_factor))
Adjusted probability of a meeting being an email based on corporate culture factor. Lower factor = more meetings, Higher = more emails.
adjusted_email_prob
FORMULATotal Annual Meetings
meetings_per_week * 52
Total meetings held per year based on weekly frequency.
total_annual_meetings
FORMULAWasted Meetings Count
round(total_annual_meetings * adjusted_email_prob)
Expected number of meetings that could have been emails over the year.
wasted_meetings_count
OUTPUTWasted Meetings Count
wasted_meetings_count
Estimated number of meetings per period that could be replaced by asynchronous communication. Multiply by average meeting cost to quantify the productivity opportunity.
What is Carlo?
Carlo is a visual tool for Monte Carlo simulation. Model uncertainty by dragging probability distributions, connecting them visually, and running thousands of scenarios instantly.