How to track statistics and link a graph to a post

about 10 minutes

A statistic records a result over time. A manager can use its graph to check whether output rises or falls. This guide creates a weekly graph and then shows how to link an available graph to a post.

Video: Add a value to a graph

Before you start

Have a post ready on the board. The example uses a post named “Order fulfillment” and links the available graph “Weekly packed units.”

Step 1 — Open statistics

Select Statistics in the left menu. The page shows graphs and date controls.

Statistics page with Statistics outlined in the left menu.Statistics page with Statistics outlined in the left menu.

Step 2 — Set up a weekly graph

Select Create graph and enter “Weekly completed orders” in Title. Keep Kind set to Regular, then set Period to Weekly. Enter “Completed” in Line name.

New graph form with Weekly selected in Period.New graph form with Weekly selected in Period.

Step 3 — Save the graph

Select Save. The graph opens with no values.

Save button at the bottom of the graph form.Save button at the bottom of the graph form.

Step 4 — Open value entry

Return to Statistics. Find Weekly completed orders and select its plus button, Add value.

Weekly completed orders card header with its plus button on the right.Weekly completed orders card header with its plus button on the right.

Step 5 — Enter weekly values

Enter 12 in Completed and September 28, 2026 in Date, then select Submit. Repeat with 18 for October 5, 2026. Repeat with 15 for October 12, 2026.

Add value dialog with a value of 12 and a date of September 28, 2026.Add value dialog with a value of 12 and a date of September 28, 2026.

Step 6 — Set the date range

Select the graph title to open it. Set From to September 28, 2026 and To to October 12, 2026 below the graph.

From and To controls set to the three-week example range.From and To controls set to the three-week example range.

Step 7 — Read the change

Read the Values table below the graph. The value rose from 12 to 18, then fell to 15. CHANGE shows 50% for the increase and -16.7% for the decrease; the newest row appears first.

Values table with three weekly values and their positive and negative percentage changes.Values table with three weekly values and their positive and negative percentage changes.

Step 8 — Open the post editor

Select Boards and find your post. Open the small arrow on its box, then select Edit.

Order fulfillment post menu with Edit outlined.Order fulfillment post menu with Edit outlined.

Step 9 — Add a post statistic

Open the Statistics tab. Select Add statistic.

Empty Statistics tab in the post editor with Add statistic.Empty Statistics tab in the post editor with Add statistic.

Step 10 — Choose an available graph

Enter “Packed units” in Statistic and “Count units packed each week” in How it is measured. Enter “units” in Unit. In Graph, select the available graph Weekly packed units.

Post statistic fields with Weekly packed units selected and a graph preview below.Post statistic fields with Weekly packed units selected and a graph preview below.

Step 11 — Save the post

Select Update to save the statistic and graph link.

Update button in the post editor.Update button in the post editor.

Open the post's Edit menu again, then open Statistics. Check the selected graph and its preview.

Saved post statistic with Weekly packed units and its preview still present.Saved post statistic with Weekly packed units and its preview still present.

Tips

  • Use Period to set the recording interval; use From and To to set the visible date range.
  • Read CHANGE with VALUE. The example's -16.7% describes the fall from 18 to 15.
  • Read the newest value in the first row of the table.
  • Choose a graph listed in the post's Graph menu.

What next

Write SOPs, documents, and policies for the work that produces these results.

Pricing

From $25 a month for up to 8 users.

Every feature on every plan. 7-day full refund: if you are not happy, email us within 7 days of your first payment and we refund it in full. support@orgstatistics.com