Labor Cost per Install Hour in Excel:
Track HVAC Project Efficiency & Profitability

Labor Cost per Install Hour in Excel

1. Calculate the Hour Variance in the Source Data

• Start by adding a column that measures the difference between Actual Hours and Planned Hours.
• This creates the overage that will later be used for variance analysis and labor cost impact.
• The video uses a simple subtraction at the row level so each project shows how many hours it ran over plan.

2. Create a Unique List of Project Managers

• Use the UNIQUE function to pull a distinct list of project managers from the table.
• Sort the list alphabetically.
• Copy the results and paste them as values using Ctrl + Shift + V so the list becomes static.
• This list becomes the row labels for the analysis grid.

3. Create a Unique List of System Types

• Use the UNIQUE function again to pull a distinct list of system types.
• Sort the list alphabetically.
• Copy and paste as values.
• Transpose the list so the system types run across the columns instead of down the rows.
• This creates the column headers for the matrix.

4. Calculate the Average Hourly Labor Rate by PM and System Type

• Build the first matrix using the SUMIFS function.
• Sum total labor cost by project manager and system type.
• Then divide that result by the summed labor hours for the same project manager and system type.
• This produces an average hourly labor rate at the PM and system-type level.
• Because the matrix is copied both across and down, the video locks the row and column references so the formula fills correctly.
• Instead of dragging, the formula is copied and pasted across the range to avoid table-related issues.

5. Add Overall Totals for System Type and Project Manager

• Create an Overall row by reusing the existing formula and removing the project manager condition.
• Create an Overall column by reusing the formula and removing the system type condition.
• This gives you broader hourly rate averages by system type and by project manager, not just by individual intersections in the matrix.

6. Apply a Heat Map to the Hourly Rate Matrix

• Highlight the hourly rate results.
• Use Conditional Formatting and Color Scales to create a heat map.
• This helps surface which combinations of project managers and system types have relatively higher or lower hourly labor rates.
• In the video, this step is optional because the real value comes from the later cost-impact views.

7. Calculate Percent Overage by PM and System Type

• Copy the matrix structure and repurpose it for percent overage.
• Use SUMIFS to total the hour variance by project manager and system type.
• Divide that by the summed planned hours for the same combination.
• Format the result as a percentage.
• Repeat the same logic for the overall row and overall column.
• This shows where teams are running over plan most often as a percentage of expected labor hours.

8. Add a Dynamic Threshold Highlight for Overage

• Enter a target percentage into a separate cell, such as 5%.
• Use Conditional Formatting with Highlight Cells Greater Than to flag any overage values above that threshold.
• Link the rule to the target cell so the highlighting updates dynamically when the threshold changes.
• The video also customizes the target cell label using Format Cells and a custom number format so the threshold is easier to identify.

9. Calculate the Total Cost of the Labor Variance

• Copy the matrix again and use it to calculate the real dollar impact of overages.
• Use SUMIFS to total the hour variance by project manager and system type.
• Multiply that result by the hourly labor rate that was already calculated in the first matrix.
• This turns extra hours into an actual labor cost impact.
• The overall totals can then be calculated with SUM to show the full labor overrun cost across the dataset.
• In the video, this is the key insight because it translates small time overruns into a large total dollar amount.

10. Calculate the Average Cost per Job

• Create one final view focused on the job level instead of total accumulated hours.
• Use AVERAGEIFS to calculate the average hour variance by project manager and system type.
• Multiply that average variance by the hourly labor rate.
• This gives an average excess labor cost per job for each PM and system type combination.
• The result helps show whether a team is only slightly over on a few projects or consistently creating added labor cost job after job.

11. Use the Results to Compare Operational Performance

• By the end of the walkthrough, you have multiple views of labor performance:
  • average hourly labor rate
  • percent overage
  • total labor variance cost
  • average excess labor cost per job
• Together, these views help identify whether the problem is labor rate itself or poor scheduling and execution that causes extra hours.
• The final matrices make it much easier to pinpoint where install-hour inefficiencies are turning into avoidable project cost.