The Utilization Analysis aims to provide insights into the efficiency of the professional services team by examining two key metrics: Billable Utilization % and Effective Utilization %. These metrics offer valuable insights into how effectively team members are utilizing their time, particularly in terms of billable hours and overall productivity.
The analysis utilizes data from multiple sources, including user data, project data, timecard data, and sales data. These datasets contain information about user demographics, project details, timecard entries, and sales records, which are essential for calculating utilization metrics.
Billable Utilization % is defined as the percentage of billable time a person spends out of the time they have available, where the available time excludes PTO. The project types included in billable utilization are:
Effective Utilization % is defined as the percentage of total productive (non-admin) time a person spends out of the time they have available, where the available time excludes PTO. The project types included in effective utilization are:
Non-Productive Time includes project types that are not considered productive or effective:
Data Cleaning:
Data Validation:
Calculating Available Hours: Each user’s available hours are calculated based on their start and end dates, assuming a standard 40-hour work week from Monday to Friday.
Determining Billable and Effective Hours: Monthly hours logged for billable projects and effective (productive) hours are aggregated from the timecard data, categorized by project type.
Calculating Utilization Percentages: Utilization percentages are computed for both billable and effective hours, factoring in any Paid Time Off (PTO) taken by users.
Summarizing by Team Role Code, Region and User Team: Utilization metrics are aggregated by team features and month to identify trends and patterns.
| Team_Role_Code | total_billable_logged_hours | total_effective_logged_hours | total_available_hours | billable_hours_pct | effective_hours_pct |
|---|---|---|---|---|---|
| PM | 28370.317 | 29209.333 | 64574.22 | 43.93 | 45.23 |
| RX-RA | 15599.767 | 16253.667 | 24104.50 | 64.72 | 67.43 |
| RX-RM | 4424.350 | 6258.683 | 10096.00 | 43.82 | 61.99 |
| RX-RS | 9498.917 | 10183.217 | 14953.00 | 63.53 | 68.10 |
| Team_Region | total_billable_logged_hours | total_effective_logged_hours | total_available_hours | billable_hours_pct | effective_hours_pct |
|---|---|---|---|---|---|
| APAC | 8967.267 | 9597.267 | 14595.55 | 61.44 | 65.75 |
| EMEA | 8535.717 | 10311.233 | 16826.50 | 50.73 | 61.28 |
| NA | 40390.367 | 41996.400 | 82305.67 | 49.07 | 51.02 |
| User_Team | total_billable_logged_hours | total_effective_logged_hours | total_available_hours | billable_hours_pct | effective_hours_pct |
|---|---|---|---|---|---|
| PM-APAC | 5481.383 | 5719.883 | 9149.55 | 59.91 | 62.52 |
| PM-EMEA | 4321.967 | 4698.633 | 9154.50 | 47.21 | 51.33 |
| PM-NA | 18566.967 | 18790.817 | 46270.17 | 40.13 | 40.61 |
| RX-APAC-RA | 2589.333 | 2685.583 | 3684.50 | 70.28 | 72.89 |
| RX-APAC-RM | 896.550 | 1191.800 | 1761.50 | 50.90 | 67.66 |
| RX-EMEA-RA | 1313.333 | 1528.833 | 1900.00 | 69.12 | 80.46 |
| RX-EMEA-RM | 1092.250 | 2094.250 | 2900.00 | 37.66 | 72.22 |
| RX-EMEA-RS | 1808.167 | 1989.517 | 2872.00 | 62.96 | 69.27 |
| RX-NA-RA | 11697.100 | 12039.250 | 18520.00 | 63.16 | 65.01 |
| RX-NA-RM | 2435.550 | 2972.633 | 5434.50 | 44.82 | 54.70 |
| RX-NA-RS | 7690.750 | 8193.700 | 12081.00 | 63.66 | 67.82 |
Toggle between “Hour Percentage (%)” by Project type and “Hours Totals” by Project Type using the button in the top-left corner in the graph.
Select on colors to choose project type.
Toggle between “Hour Percentage (%)” by Project type and “Hours Totals” by Project Type using the button in the top-left corner in the graph.
Select on colors to choose project type.
| month | total_available_hours | total_effective_hours | total_billable_hours | total_non_productive_hours | effective_hours_pct | billable_hours_pct | non_productive_hours_pct | missing_hours_pct |
|---|---|---|---|---|---|---|---|---|
| 2020-10-01 | 19207.50 | 12241.62 | 11343.983 | 3858.433 | 63.73352 | 59.06018 | 20.08816 | 16.178316 |
| 2020-11-01 | 17428.65 | 10573.55 | 9736.183 | 2931.200 | 60.66764 | 55.86310 | 16.81828 | 22.514079 |
| 2020-12-01 | 17928.00 | 9447.80 | 8875.733 | 2882.217 | 52.69857 | 49.50766 | 16.07662 | 31.224807 |
| 2021-01-01 | 18758.90 | 10901.55 | 10365.550 | 3830.467 | 58.11402 | 55.25670 | 20.41946 | 21.466522 |
| 2021-02-01 | 18369.42 | 12558.23 | 11729.333 | 4407.200 | 68.36490 | 63.85251 | 23.99205 | 7.643048 |
| 2021-03-01 | 22035.25 | 6182.15 | 5842.567 | 2273.817 | 28.05573 | 26.51464 | 10.31900 | 61.625275 |
By leveraging these insights and recommendations, Qualtrics can optimize workforce utilization and drive better business outcomes.