Knowledge Base Dataset: Feedback on Metrics & Attributes

I support this request.

Agree - these metrics would be greatly appreciated.

I'm really baffled why these are still all unavailable. Copying and pasting from the 'built in reports" to a sheet and exporting from Explore to also stick in a sheet continues to be the only way to have a single source for reporting on Knowledge Capture and Guide. 

I would like to know who viewed which article so we can better understand who views the knowledge base with lowest data,etc

Thanks for all your feedback and comments here!

The expansion of the KB dataset in Explore is certainly on our roadmap, starting with the following additions;

• # article subscriptions
• # article comments
• # up/ downvotes on articles (+ total votes on articles)
• article categories

Labels, and owners also are on our radar, however, these will be later additions to the dataset. I'll mark these so we can include them in future priorities.
I really appreciate your contribution and mark this request thread as "Planned" since a good amount of these requests are actually on our roadmap in 2022. I'll update this thread once I can share more details about the plans.
Cheers!

Thanks for the update, Orsolya Forster! I really appreciate it.

Hi Orsolya Forster 

Happy new year to you and to the team, 

Do you now approximately the month ou the quarter of 2022 thats will be arrive ?

Can Zendesk add more metrics into this dataset?

1) which agents visited which article 

2) when this agent visited the article

The purpose is to find out whether there are always some agents never visited articles.

So we can build connections between specific agents and articles

Hi ingrid MARIOTTI, happy new year to you too! 

The metrics and category attribute listed above are planned to be completed in Q2. I'll update the thread in the case this plan changes.

Qin Brian for now we can only commit to the metrics and attributes above, however, I will capture your request so we can consider them in future upgrades. Thanks for your feedback.

Cheers!

Hi everyone!

We have developed our own dashboard for the help center. Now we can measure the readability of our articles (do customers read it to the end or just scroll it or even just bounce), what articles trigger customers to open tickets, etc.

Qin Brian ingrid MARIOTTI Ryan Boyer CJ Johnson Rod Doles Mauricio Giraudo Let me know if you find it interesting for you!

Cheers, Stephan

Hi Stephan:

I checked the dashboard and I have some questions

1) what is the meaning of Search and Search without result? Can we export the search data to see what is searched without result?

2) How we can know the difference between MSDK channel help center channel?

3) Can we know who made the viewing or searching of end-users?

Qin Brian 
1. Search without results is the search where words didn't match any article.

2. Good point. In our case, we don't have a mobile channel, but if you give me more details about your case we can think about how to handle it.

3. Didn't get your question. Do you mean the sources of visitors or the source of all the data?

Btw, how did you find our dashboard?) I'm impressed by your research skill, I didn't mention any link here 

In the dashboard of Knowledge Guide, there is one metric named "Votes". Can Zendesk show each article's votes results on "No" and "Yes"? I tried to separate, but I failed

Hi Qin Brian,

Splitting the vote count to upvotes and downvotes is not possible currently. We're currently working on an update which will enable to count positive and negative votes separately.

Cheers!

Hi, Orsolya Forster. I am following up on this feedback. Is there any additional information on when the metrics you outline here: https://support.zendesk.com/hc/en-us/community/posts/4408860636826/comments/4410684581530 will be added? Thanks!

Hi Ryan Boyer,

We plan to make the new metrics available in Q3. I realised that I initially communicated Q2 in this thread, so a correction was due.

Cheers!

Thanks for the update, Orsolya Forster. I really appreciate it!

While the views per article is useful, the count of users who viewed an article would give greater insight.

Eg. If Article A had 100 views from 1 user and Article B has 1 view from 100 users, the views metric would be 100 for both articles, but Article B is reaching a wider audience than Article A, so maybe has greater value or relevance.