This estimates emissions that cannot be estimated otherwise (no expense data).

And when the data is directly provided by the employee, it provides a far stronger link to actual impacts than extrapolated / estimated emissions.
Activity-based inputs allow us to model the right emission mechanisms per person: kilometres by transport mode, kWh attributable to working from home, and meals actually consumed. This reduces uncertainty.
​What the survey covers:-Commuting: number of days commuting per week, distance, transport modes (car, public transport, cycling, walking…), vehicle sub-type, carpooling, city size

Remote work: days work from home per week, heated/cooled surface area, energy type, set temperatures

Meals: number of meals per week broken down by type (red meat, white meat, fish, vegetarian, vegan) —BEGES only, excluded for GHG Protocol-Working pattern: join date, full-time/part-time status, vacation days What's included vs. not included:

✅ Included: commuting emissions, household energy attributable to working from home during working hours (only heating and air conditioning), workplace meals (BEGES only).

❌ Not included: non-work household energy baseline, personal leisure travel, equipment manufacturing (handled in IT/purchased goods modules), electricity consumption outside heating and air conditioning.

Means of transport (one option from a dropdown)

Company start date

Days worked per week (total)

Days worked remotely per week

One-way commute distance (km)

Vacation days per year (optional)

Meal breakdown by type per week (optional, BEGES only)
​Measured values: distances in km, meal occurrences as weekly counts. These are converted to annual activity quantities and then to CO₂e using the analysis spreadsheet and uploaded via Admeenly.
Use this option only if the end-to-end module cannot be used.

General / working pattern: company join date, country code, full-time or part-time status, part-time percentage, days off per year, remote days per week, base working days per week

Meals: total meals per week, broken down by type (red meat, white meat, fish, vegetarian, vegan), each as an occurrence-per-week count

Home heating: heated surface (m²), set temperature (°C or °F), heating type (electricity, gas, wood, fuel oil, heat pump, urban heating, none, don't know)

Air conditioning: cooled surface (m²) and cooling temperature

Commute: one entry per transport mode used, each with transport type, distance per day (km) or time spent, number of days of use per week, sub-type (e.g., train/car sub-category), city size, engine type, fuel type, and optional carpooling info
​ Measured values: distances in km (time inputs are converted to km in-app), surfaces in m², temperatures in °C, meal occurrences and commute days as weekly counts. These are converted to annual activity quantities and then to CO₂e on the platform.

GHG Protocol: accounts for commuting and home working (heating + air conditioning) emissions

BEGES: accounts for commuting, homeworking, and workplace meals. Uses EFs from ADEME.1 — Scope This module estimates employee-related emissions based on survey data, covering commuting, workplace meals (BEGES only), and teleworking. Activity data is calculated per employee over the reporting period and converted into CO₂e using predefined emission factors.2 — Data used
The calculation relies on employee hire date and working pattern, reporting period, declared commuting distance, weekly teleworking frequency, annual vacation days, and weekly number of meals by type (BEGES only).
Only employees active during the reporting period are included.
​3 — Commuting
Principle: Distance × worked days × commuting share. Adjusted for part-time work, teleworking, vacation days, and presence during the reporting period.
**4 — Workplace meals (BEGES only) **
Principle: Weekly meals × worked weeks. Scaled to the number of effective working weeks during the reporting period.
​5 — Teleworking
Principle: Worked days × telework proportion. Adjusted for part-time work and vacation.
​6 — Data controls

Vacation days are prorated to the reporting period

Missing vacation values are replaced by dataset averages

Negative values are set to zero

Extrapolations are made within the specific group

GHG Protocol: accounts for commuting, home heating and air conditioning (teleworking emissions). Meals are excluded.

BEGES: accounts for the same categories (commuting, home heating, and air conditioning) plus workplace/employee meals.
Emissions are computed automatically
When an employee doesn't answer the survey, GHG emissions are extrapolated using a global average employee profile. There is no minimum completion threshold required to use collected replies for extrapolation.

Year: EmissionFactor.year = profile.year (falls back to the closest available year if none exists for that exact year)

Geography: matched on the employee's country code, using the UN Region to find the closest available geography

Uses EFs from ADEME for BEGES

Uses UK EFs for European countries other than France

Uses US EFs for non-European countries End-to-end module All EFs are tagged Feature = EmployeeSurvey and filtered by FactorIdentifier, Methodology (mandatory), profile year (closest year fallback), and employee country (via UN Region).
Sources by category:

Meals: Agribalyse / Nos Gestes Climat

Home heating, air conditioning, commute: ADEME, IEA, French suppliers, UK conversion factors, EPA Emission Factor Hub

Employee Survey Methodology v3.2 → Full calculation rules and EF references

Employee Survey Methodology v3.2 – Overview → Simplified recap covering commuting, remote work, meals, extrapolation and special cases

Employee survey FAQ → Common questions on the module (setup, emissions variations, admin)

Analysis spreadsheet: Google Drive folder

Use the Employee Survey as often as possible and resort to the manual module only when strictly necessary

Employee app: employee.greenly.earth

Demo (full fake experience, no email required): employee.greenly.earth/?isDemo=true

Demo (pre-filled survey for sales demos): employee.greenly.earth/?isGreenlyDemo=true