How do I generate reports in Bolster?
To generate reports in Bolster, use the Reports (Estimates) reporting view, then rely on key columns like quote number, estimate status, lead received date, sent date/last activity, conversion date, and team attribution (sales, designer, estimator) to analyze pipeline performance.
You generate reports in Bolster by using the Reports / Estimates reporting view, which is built as a spreadsheet-style table (reports were updated to use the Sheets component) . From there, you review key quote and estimate fields in columns so you can track activity, status, and performance across your pipeline.
What you need before you start
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Quotes and estimates in the system (reports are based on quote and estimate data like quote number, status, sent date, and more)
Generate a report using the Estimates reporting view
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Open Reports (the Estimates reporting view). Reports use the Sheets component, so you’ll see your report data in a grid/table format.
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Use the reporting columns to build the view you need. Common columns include:
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Quote Number
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Quote Name
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Status of estimate
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Add timeline columns to report on speed and progress through your pipeline :
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Date lead received
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When was estimate received
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Date it was sent / Last Activity
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Accepted Date / Sent Date / Invoice Date
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Conversion date (from estimate approval to booked project)
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Use status values to segment your report (for example, to see what is waiting, what is sent, and what has converted) :
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Pending
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Sent
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Booked
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In Progress
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Waiting Manager Approval
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Add team attribution columns if you need reports by role or owner :
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Sales name (shown in a column)
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Designer Name / Estimator Name
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What your report can answer
Using the columns above, your report can show:
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What’s in each estimate status (pending vs. sent vs. booked, etc.)
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When leads came in, when estimates were created/received, and when they were sent
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How long it takes to move from estimate approval to a booked project using the conversion date
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Performance breakdowns by salesperson, designer, or estimator (based on column attribution)