Founded in Switzerland in 1997, Magnolia is a CMS used to build composable digital experiences. Magnolia helps create fully integrated customer experiences and speeds up digital delivery of content. Magnolia boasts 480 enterprise customers, thousands of Community Edition deployments, and more than 200 certified Magnolia Partners around the world. They further state that their enterprise customers include Sanofi, Generali, the Atlassian, The New York Times, Harley Davidson, and Union…
$3,500
per month
UserTesting
Score8.1 out of 10
N/A
UserTesting helps UX researchers, designers, product teams, and marketers gather actionable insights through research, testing, and feedback. With a network of real people ready to share their perspectives, UserTesting enables organizations to make customer-first decisions at scale.
N/A
Pricing
Magnolia
UserTesting
Editions & Modules
DX Core
$3500
per month
DX Cloud
$6000
per month
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Offerings
Pricing Offerings
Magnolia
UserTesting
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
Magnolia
UserTesting
Considered Both Products
Magnolia
Verified User
Chose Magnolia
Prior to using Magnolia as an enterprise CMS solution, different teams leveraged different website platforms including WordPress, Weebly, and others. While these other platforms may be slightly more user friendly to the content editor, they don't offer nearly the same amount of …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Magnolia is a very capable DXP, that provides client with lots of flexibility in composing its own stack. While the core of the platform is a content management system, the open architecture of Magnolia DXP allows it to connect to any platform, allowing client to extend the capabilities. One scenario would be a centralized content hub - where through a single platform, content authors can choose which channel to distribute what content. For example, long form content for consumers viewing on a laptop, short form content for those using a mobile browser. This allow the client to personalized the experience based on channels. Another scenarios would be leveraging on GenAI - using Magnolia's built-in connector to ChatGPT. If that is not the service that one desire, you can always connect to another AI service such as Google Gemini. With GenAI, connected, content author can use AI as co-pilot to help them scale up their content production.
UserTesting has been great for moderated customer interviews/usability testing as well as for unmoderated testing of messaging, imagery, prototypes and live experiences. I would say that the scope of what you want needs to be limited, as the participants are only paid so much and tests are supposed to not exceed a certain amount of time. For customer interviews, I think it can be difficult to onboard customers to UserTesting if they have never used it before. If I set up interviews, I don't even have them use the UserTesting scheduling tool, I actually set up all the interviews with the customers myself through the tool (being mindful of time zones!). When we run the meeting, they really don't even know UserTesting is involved. Might be nice for UserTesting to allow the upload/connecting to of a Zoom interview and let it do the transcription/analysis from there.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Speed of development - time to delivery from zero to MVP was excellent
Ease of use - the authoring experience is very easy to build and train
PAAS/SAAS - the managed service platform removed the traditional overhead of running in-house technologies, meaning we could focus on value add, with less time spent keeping the lights on.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
The documentation provides samples that are often out of context, and difficult to know where the provided example code should be implemented. More tutorials providing the full project or step-by-step instructions on how to implement subject material would help greatly. Baeldung is a resource I would consider the gold standard in how this is done in other spaces.
The use of JCR and Nodes makes object serialization/deserialization painful. Jackson compatibility or similar would be a welcome enhancement to the developer experience. Maybe leveraging code-gen from light modules to build model classes when possible could help accomplish this.
Modifying the home layout from light modules is frustrating. It seems that any configuration overrides made merge with the default rather than overwriting, which makes for a difficult combination of guess-and-check while referencing the documentation to see what should be in each row/column when making changes.
Including "mark all as read" or "delete all" in the notifications app would be a great quality of life improvement. It seems that by default, users have to individually select messages and operate them.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sometimes there are restrictions around types of research that can be used for moderated user-testing with our own users.
For tests on relatively small areas of a website or app, the AI analysis seems rather overblown, like it's trying too hard to come up with something insightful when the test is actually about something quite small (e.g. structure of a mobile app menu).
It's difficult to invite our own users to unmoderated user-testing because they wouldn't know how the UserTesting interface works - this is particularly an issue for mobile research.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I'm very happy with my experience of the product and the level of service and learning resources they provide. If the service becomes more expensive than it currently is then we might not be able to justify additional cost - but this is theoretical. I would recommend UserTesting and would ideally renew our contract.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We've shown it to a number of users both clients and our own team and despite initial apprehensions, they "get it" very quickly. It's intuitive and friendly and quick to perform daily tasks. We once had a client tell us "Using Magnolia makes me smile" which says it all for us.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
It's very good, I have used other tools in the past and this is by far the most intuitive and user friendly. Testament to this is the ease with which other non researchers who have been onboarded to the tool with our additional seat have found it easy to use
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I gave [it] 7/10 only because of the loading time of pages. Otherwise, I think it deserves an 8. Normally this is not an issue per [se] but considering the rating matrix and as I have been asked to honestly write about it. Yes, the page loading times could be improved.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
You always get an answer based on your SLA. But you always get a solution. That's the successfactor in this case. To often i was frustrated about people in a company without even a clue what there product is about or how to solve a problem. Magnolia's Support Team does a very good job and try to help you in most of the cases
I have contacted UserTesting's customer service online, by email, or by phone a few times, and each time, I have encountered the same professionalism and expertise. Even in person during a work event, they were there, and it was the same experience.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
From a technical perspective, the implementation was extremely smooth. Most of the change management / implementation hurdles were clearing use of the tool through our various security, legal, and information privacy teams. Once these concerns were addressed (UserTesting.com was very helpful in providing all the needed documentation), the implementation process was very simple and we were able to get going right away.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I've used several CMSs like AEM and EpiServer, and comparatively, they all excel at different things. Magnolia is the best to develop for/against. Episerver has the best/most fluid UI in terms of content editing, and the overall admin experience AEM is just all around sucks.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The quality of the participants: they usually have good feedback and act like "professional" users. Which is good when we want a few insights in a short amount of time. Also, the interface is good. I miss having more features, like a good transcription tool like we have in Condens
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Magnolia has brought about positive impacts. For instance, we need not outsource web design and marketing services because thanks to this software, we can handle most work inhouse
The software is affordable with no compromises on capabilities and therefore it is gives us value for money.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info