Integrate Jira Search Results In Google Sheets For Fun And Profit

· June 21, 2018

This gives me all the tech items that have been resolved across all of Roar organizations in the last 30 days.

Selecting Columns

Now, the default columns are great for reading this long list of items, but I want to do some stats. I just need the issue key, creation date, and resolution date.

To select columns, click the Columns link to the right of the search. Then select the columns you want to store for this filter. They will be saved automatically.

Setting Permissions

Always remember to set the right permissions for the filter before sharing it. Click the Details -> Edit permissions link next to the filter name and set the permissions to something useful. I usually select Any logged in user unless it’s sensitive.

Importing Data into Google Sheets

Exporting the list of issues is simple: click the Export button and select CSV (Current fields). Then right-click CSV (Current fields) and copy the link address.

Open a new tab in your browser and paste that link in the address bar. Hit enter. The file will be downloaded for you.

Because of this, we can create a link in Google Sheets to download the data.

Crunching the Data

Once you’ve imported the data into Google Sheets, you can start crunching it. I’ve prepared a sheet with some calculations.

I usually color calculated cells differently to indicate they shouldn’t be touched.

My sheet has 10 calculated columns. The first 4 calculate per row:

  • Link: This creates a hyperlink back to the issue.
  • Leadtime in days: This calculates the lead time by subtracting the creation date from the resolution date.
  • Week completed: This gets the week for the resolved date.
  • Month completed: This calculates the month for the resolved date.

I’ve then aggregated the weeks and months in the following columns.

Drawing Diagrams

I’ve also created a few visualizations of the data. You can see them here.

Throughput per Month

  • Select the column N-P, all rows.
  • Go to Insert -> Chart.
  • The data range should be N1:N1000,O1:P1000.
  • Move the Months to the X-axis series.
  • Remove it from the Y-axis series and add it as an X-axis series.
  • Select the Smooth line chart type.
  • Make any additional formatting adjustments.

Throughput per Week

Same as above, but use the data from J1:L1000.

Leadtime per Issue

  • Select Column D (Resolved) and F (Leadtime in days).
  • Go to Insert -> Chart.
  • Select a Scatter chart.
  • Add a Polynominal trend line for the Leadtime in days series.
  • Make any additional adjustments.


Here are the diagrams we created:


Consider how easy this is to keep up to date. This is literally what I do once a week:

  • Open the Google spreadsheet for our stats.
  • Click the link in B1 on the Instruction sheet to download a file with the raw data, based on a filter kept in JIRA.
  • Import the downloaded file to the JIRA raw data sheet.
  • Done.

It takes about 10 seconds. And I’m pretty sure it can be totally automated—but I’ll leave that for another post.

I hope you found this useful.

Twitter, Facebook