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Analyze Page Metadata in Atlassian Confluence – with Table Filter and Charts add-on and Metadata for Confluence

In this guest blog post, we will outline how Metadata for Confluence works together with the Table Filter and Charts add-on to analyze page Metadata.

In this guest blog series, Vadim Rut­ke­vich from StiltSoft takes a clo­ser look at what is pos­si­ble com­bi­ning their pro­ducts with our Meta­data for Con­flu­ence add-on: Ana­ly­sis, fil­tra­tion, and visua­liza­t­ion of page meta­data. 

 

Atlas­sian Con­flu­ence pro­vi­des a rich set of capa­bi­li­ties for manage­ment of con­tent. Their approach to col­la­bo­ra­tive edit­ing, as well as exten­ded eco­sys­tem of add-ons, allows your team to quickly and easily achieve the defi­ned objec­tives.

Those people who use Con­flu­ence exten­si­vely use dif­fe­rent methods to cate­go­rize and struc­ture pages for quick acces­si­bi­lity and easy navi­ga­tion. Here’s where page meta­data can help you with this.

By default, you can use the native Page Pro­per­ties macro which allows you to spe­cify custom key/value pairs for spe­ci­fic con­tent pages. This solu­tion allows you to keep meta­data wit­hin page con­tent. The Page Pro­per­ties Report macro fur­ther pro­ces­ses labels of pages with meta­data and gene­ra­tes the index list of pages matching the defi­ned cri­te­ria.

But it is not per­fect. All the time you need to manu­ally enter text values and there is a high pro­ba­bi­lity that you can mis­s­pell some word or enter some­thing that will dif­fer from the ori­gi­nal value. And here you need a more data-con­sis­tent and com­pre­hen­sive solu­tion. Meta­data for Con­flu­ence add-on from Communardo Soft­ware GmbH can become the solu­tion that can help you with get­ting con­trol over page meta­data.

After expan­sion of con­tent in your Con­flu­ence, one day you may want to get insight into its struc­ture, and find out some cri­te­ria to clas­sify or cate­go­rize it. And Table Fil­ter and Charts add-on from StiltSoft can become a solu­tion that will help you with con­tent fil­tra­tion, aggre­ga­tion, and visua­liza­t­ion.

Some­ti­mes you may want to get the aggre­ga­ted view of your page meta­data, and here the Pivot Table macro from Table Fil­ter and Charts add-on will help you with this.

While edit­ing the page, enter ‘{Pivot Table}’ and then move the Meta­data Over­view and Table Fil­ter macros wit­hin it.

After saving the page, let’s build a pivot table. Select the Addon Name as Row Labels, and Sprint Sta­tus as Column Labels. So here’s the aggre­ga­ted view of sprints against the add-on and sprint sta­tus.

The next thing which we can do is a com­pa­ri­son of esti­ma­ted velo­city for all the clo­sed two-week sprints for dif­fe­rent add-ons. This will help us to get insight into team per­for­mance and look up for pos­si­ble impro­ve­ments in the deve­lop­ment pro­cess.

We re-build our pivot table and select the Addon Name column as Row Labels, change the cal­cu­la­ted column to Esti­ma­ted Velo­city, and switch to the Aver­age, Min and Max ope­ra­ti­ons.

As you may notice there are no signi­fi­cant devia­ti­ons in the esti­ma­ted velo­city bet­ween dif­fe­rent teams.

 

Aut­hor: Vadim Rut­ke­vich, StiltSoft

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