The below table explains the calculations used for each of the measurements that make up the PMI adoption index.
The Factor value indicates the measurements weighting, or impact on total score. A measurement with a higher factor will have a greater impact on a departments index score. The highest possible factor is 35, the lowest is 3.
| Measurement name | Calculation description | ARM Group | Factor | Applies to |
| Actual hours alignment vs. activity | Measures day by day correlation between hours and to actual cost driver for the past 6 weeks (i.e. staffing according to actual activity). | Do | 16 | Labor cockpit |
| All accounts mapped | Measures if all accounts are mapped or ignored | Do | 21 | Property level only |
| Biased hours allocation | Measures if used hours in the last 6 weeks were frequently biased; too high or too low. | Evaluate & Learn | 4 | Labor cockpit |
| Biased Live forecast | Measure if Live forecast over the last 3 months has been frequently biased; too high or too low | Evaluate & Learn | 4 | Profit center |
| Cost driver accuracy | Reuses the Live forecast accuracy index derived for the source department(s) used in the cost driver. | Monitor | 4 | Profit center |
| Cost driver correlation | During the last 185 days the relation between the selected driver and the actual result is compared. Each day of the week is checked independently and the correlation value (Pearson coefficient) for each day is weighted based on hours used per day to get a total score. | Adjust | 5 | Profit center |
| Revenue forecast exists | Measures if a forecast is in PMI for the current and next 2 months. | Plan | 28 | Profit center |
| Revenue Live forecast vs. forecast comparison | Measures 1) If a Live forecast is in PMI for the current and next 2 months. and 2) If it differs from the forecast by less than 25%. | Do | 35 | Profit center |
| Live forecast accuracy | Measures accuracy over the last 3 months using sMAPE | Evaluate & Learn | 20 | Profit center |
| Monitor labor cockpit daily | Measures on how many days the labor cockpit was viewed during the last 28 days. The goal is 20. | Monitor | 12 | Labor cockpit |
| Monitor Live forecast daily | Measures on how many days the Live forecast was viewed during the last 28 days. The goal is 20. | Monitor | 12 | Profit center |
| Monitor P&L monthly | Measures on how many days the P&L was viewed in the last 31 days. The goal is 1. | Monitor | 12 | Properties with PMI Planning |
| P&L forecast (approved) accuracy | Measures accuracy for the last 2 months using MAPE. | Evaluate & Learn | 8 | Properties with PMI Planning |
| P&L submitted Budget exists | Measures if current year has a submitted budget not older than 365 days | Plan | 10 | Properties with PMI Planning |
| P&L submitted forecast exists | Measures 1) If current month has a submitted forecast not older than 30 days and 2) If the following 11 months have a submitted forecast | Plan | 10 | Properties with PMI Planning |
| Productivity forecast exists | Measures if a productivity forecast is in PMI for the current and next 2 months. | Plan | 28 | Labor cockpit |
| Productivity Live forecast vs. forecast comparison | Measures 1) If a productivity Live forecast is in PMI for the current and next month. and 2) If it differs from the forecast by less than 10%. | Do | 35 | Labor cockpit |
| Revenue driver accuracy | Reusing the Live forecasting Accuracy index for the source department(s). | Monitor | 4 | Profit center |
| Revenue driver correlation | During the last 365 days the relation between the selected driver and the actual result is compared. Each day of the week is checked independently and the correlation value (Pearson coefficient) for each day is weighted based on revenue per day to get a total score. | Adjust | 5 | Profit center |
| Scheduled hours alignment vs target | Measures day by day correlation of the schedule and SMART forecast for the next 6 weeks. | Do | 20 | Labor cockpit |
| Scheduling adaptability | Measures if the future schedule is adapted to a change in SMART Forecast at various lead times (3 days, 1 week, 2 weeks, 1 month, 2 months). | Evaluate & Learn | 8 | Labor cockpit |
| Share of active users | Percentage of active users in PMI in the last 10 days. The goal is 100%. Active users are defined as users with department editing rights who logged in to PMI in last 30 days (excluding d2o members). | Monitor | 3 | Labor cockpit |
| Update labor cockpit daily | Measures how many times the labor cockpit was saved in the last 14 days. The goal is 10. | Do | 10 | Labor cockpit without automated imports |
| Update Live forecast daily | Measures how many times the Live forecast was saved in the last 14 days. The goal is 10. | Do | 10 | Profit center without auto Live forecast |
| Update P&L monthly | Measures how many times the P&L was updated in the last 31 days. The goal is 1. | Plan | 8 | Properties with PMI Planning |
| Used hours alignment vs SMART forecast | Measures if the used hours were adapted to a change in SMART Forecast at various lead times (3 days, 1 week, 2 weeks, 1 month, 2 months). | Adjust | 12 | Labor cockpit |