How to calculate average revenue per hour based on a project's accepted proposals?

On Jestor's hourly project management dashboard, the "average revenue per hour" indicator is automatically calculated using only proposals that have already been accepted, cross-referencing the sale's value with the hours sold in each one.

Why look only at accepted proposals for this calculation?

Mixing proposals still under negotiation with ones already closed would skew the average — after all, a value that hasn't been confirmed yet could still change or fall through entirely. Calculating the average only over what's already been accepted gives a real picture of how much the company is actually earning per hour worked.

How does this indicator show up on Jestor's dashboard?

  1. Every project has contracted hours and an hourly rate defined in the proposal.
  2. Once the proposal is accepted, that data feeds the projected and current revenue calculations.
  3. The average revenue-per-hour indicator cross-references the value of accepted proposals with the hours sold.
  4. The same dashboard shows how many projects are at each stage — proposal, execution, delivered — to give context to that number.

Indicator Calculation basis
Current revenue Projects with an accepted proposal
Projected revenue Projects still at proposal stage
Average revenue per hour Value of accepted proposals divided by hours sold

Why choose Jestor?

This indicator is generated automatically from the same table used to manage projects and time activities, with no external spreadsheet needed to consolidate how much revenue each client is bringing per hour in Jestor.

Frequently Asked Questions

Does the calculation account for canceled projects? No, the indicator focuses on accepted proposals, which generate current revenue.

Can I see this average for a specific client? Yes, the dashboard lets you filter the indicators by client or by the responsible salesperson.

Is this indicator updated in real time? Yes, it reflects the data as soon as a proposal changes status on the project Kanban.

Reference video

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