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FreshBooks Hours Logged by Service

The Hours Logged by Service metric tracks the total number of hours worked on specific services, providing valuable insights into resource allocation and project profitability.

With Databox you can track all your metrics from various data sources in one place.

Hours Logged by Service 2.190,879 Start tracking this metric
  • About
  • Technical Details
What is "Hours Logged by Service"?
The Hours Logged by Service metric tracks the amount of time spent on different services provided by a business. It helps businesses understand how their time is allocated across various services, enabling better resource management, project cost estimation, and identifying areas of improvement.
Example: Monitoring the time spent by each team member on client projects to assess productivity and accurately invoice clients.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Hours Logged by Service in Databox?

Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.

To track Hours Logged by Service using Databox, follow these steps:

  1. 1
    Connect FreshBooks that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Hours Logged by Service on the Performance screen
  6. 6
    Get Hours Logged by Service performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Hours Logged by Service
FreshBooks integration with Databox Track Hours Logged by Service from FreshBooks in Databox GET STARTED

General

  • Description
    The Hours Logged by Service metric tracks the total number of hours worked on specific services, providing valuable insights into resource allocation and project profitability.
  • Date Added
    2023-07-17

Specification

  • Metric Type
    general
  • Dimensional
    Yes
  • Decimal Digits
    No
  • Currency Units
    No
  • Granularities
    Daily, weekly, monthly, yearly, quarterly and all-time.
  • Custom Relative Periods
    Yes
  • Data Availability
    At sync, it ranges from 3 year ago to 1 year.
  • Retroactive Data Updates
    Newly synced data is merged with existing data, replacing values for matching periods.
  • Future Data Available
    Yes

Visualization

  • Default Format
    Duration
  • Cumulative Graph
    Yes
  • Favorable Trend
    increasing
  • Media Creatives
    No
  • Forecasts
    Yes
  • Benchmarks
    No

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