I'd like to see 50+ reviews from unhappy Confluence users, clustered by topic

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I'd like to see 50+ reviews from unhappy Confluence users, clustered by topic

Hello, and thank you for allowing us to assist you with your request for Confluence reviews. In short, I found that there aren't 50+ reputable reviews from unhappy Confluence users publicly available. However, I was able to locate 21 reviews that fit your criteria, with 43 pain points total. I have compiled my findings for you in this spreadsheet. Please see my methodology below, as well as the sources used in the research, and some possible next steps.

METHODOLOGY
To respond to your request for unhappy user reviews, I researched online review sites and selected reviews that were in the mid to bottom end of the rating scale That is, if a website allowed ratings on a scale of 1 star to 5 stars, I focused on reviews that were 3 stars and below. Of those, I selected only reviews where the reviewers' names were listed, also giving favor to any marked as "validated" or "verified," or other indication of a serious, reputable user. I included, when available, whether the review was organic or an incentive was offered for writing the review.

LIST
The spreadsheet of reviews can be downloaded here: Confluence Reviews.

I used a table format to present the reviews and pain points in the most organized way, since most reviews had pain points in multiple areas. These areas include (from most common to least common): too complex/difficult to use (15), UI complaints (9), too difficult to find information (6), limited features or capabilities (4), lack of integration (4), too general/not specialized in area of interest (3), resource intensive (1), security concerns (1).

The sources for each review are linked in the first column, and include the following sites:

GetApp

CONCLUSION & NEXT STEPS
To sum up, after exhaustive research, I was able to locate 21 reviews that match your criteria. They are listed in the linked spreadsheet, with pain point area(s) indicated.

If you would like to continue research on this topic, I have two suggestions. First, since the typical Wonder list response is 10 items (if no pre-compiled list is available), you could submit another request asking for an additional 10 reviews to be added to what you have already. Or, if your criteria is flexible, there are other sources of user concerns, such as Atlassian Answers and similar communities and troubleshooting sites. Additional data could be retrieved from there, if you don't absolutely require a "review" format.

I hope the findings I've presented here will be useful for you. If you'd like us to continue researching using one of the approaches I suggested above, please just let us know. Thank you again for choosing Wonder!

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Sources
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