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How to use the Job Report performance dashboard

The Performance Dashboard is your at-a-glance insight on how your business is performing.

It lets you drill down into the data so you can know which leads are bringing in the most revenue, how quickly you’re closing deals, what your win rate is, where your bottlenecks are, how your sales team is performing - and a whole lot more.

So that you can;

  • know where your marketing spend is working

  • improve your speed to lead

  • focus on the weak spots in your workflow

What it does:

Tracks the data from your job pipeline as you manage your jobs from start to finish. The data is displayed in three dashboards based on different aspects of your business.


Setting Up Your Dashboards

Each dashboard automatically reflects the data from your jobs. However, the data in your performance dashboards is only as good at the data in your job cards.

To get the most accurate intel on the way your business, always keep your jobs up to date in Roofr. The more details the better. The more historical data you have, the more you can optimize your performance.

How to use the Roofr Performance Dashboard - Job Report

Set your filters

View your Job Reports by time period:

  • Day, week, month, quarter or year

Then refine your view (optional) by:

  • Address, customer, owner, stage, status, workflow or dates

💡 Click Reset to view all lifetime jobs on your report

💡 Set a 'Job Created' date and a comparison date to see percentage change in the KPI cards and compare performance across time periods.


Breakdown by Workflow

  • Helps you understand where the jobs are concentrated and spot any patterns or seasonality


Workflow Value Trends

  • Shows which workflows are driving the most revenue


Overall Metrics by Workflow

  • Shows specific metrics and values for each workflow


Detailed Job Chart

  • Contains all jobs data and can be sorted and filtered as needed

💡 Click Export Data to export the data in this chart


Want more detail?

  • Click on any chart to open a window to view the underlying data


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