Optimal Workshop, a company in New Zealand, offers their suite of user research tools on a subscription basis, including the Treejack information architecture tool, OptimalSort card sorting test, Chalkmark first-click testing, and other tools.
$2,388
per year
Parse.ly
Score 7.8 out of 10
N/A
Parse.ly is a content optimization platform for online publishers. It provides in-depth analytics and helps maximize the performance of the digital content. It features a dashboard geared for editorial and business staff and an API that can be used by a product team to create personalized or contextual experiences on a website.
$499
per month
Pricing
Optimal
Parse.ly
Editions & Modules
Starter
$2388
per year
Enterprise
Custom
No answers on this topic
Offerings
Pricing Offerings
Optimal
Parse.ly
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
Optimal
Parse.ly
Features
Optimal
Parse.ly
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Optimal Workshop is great for UX testing for those with a budget to do so. This may be a little on the expensive side for smaller businesses, but definitely not anything crazy expensive. The insights that you get out of these tests are invaluable and can be the difference between launching a site and succeeding/failing.
Parse.ly is a great tool for publishers who want to track engagement and audience behaviour across websites. With Parse.ly, we can easily track metrics like pageviews, time spent on page, and scroll depth to see which content is resonating with our audience and optimize our content strategy accordingly. Our marketers found Parse.ly to be an excellent tool for tracking the effectiveness of our campaigns. We can use Parse.ly to track metrics like referral sources, conversion rates, and engagement by audience segment to see which channels and tactics are driving the most engagement and conversions.
Tree Testing - it is a very simple and easy to use system, that provides the data needed from a tree test
Card sorting - provides a system for users to participate in navigation menu layouts. We looked into several options, but this seemed very intuitive for users.
The recruitment panelists are not professional, nor do they take the tasks seriously. You are going to get a lot of bad data.
They are HQ'd outside the US and must have a small team because the customer service is the absolute WORST I've experienced in their industry.
They pride themselves on documentation, but when they fail to document something they blame the customer for the mistake.
There are way too many limitations with the tool after you launch, limited integrations, and poor survey questionnaire options. The tool itself is far too basic for most sites, especially B2B.
As an employee, this is difficult for me to comment as I am not directly funding or making these business decisions. However, it is a tool many get on with for surface level data that is useful to editorial teams.
I would rate Optimal Workshop's overall usability 9 out of 10 due to several key factors. Firstly, the platform has a user-friendly interface makes navigation straightforward, even for first-time users. The tools and features are well-organized, ensuring users can quickly find what they need without unnecessary complexity. Secondly, the platform is highly intuitive, meaning users can easily understand how to perform tasks without extensive guidance. This is supported by clear and concise instructions throughout the application, reducing the learning curve significantly.
Additionally, the learnability of Optimal Workshop is exceptional. New users can become proficient in a short amount of time, thanks to its well-thought-out design and helpful onboarding materials. Even more advanced features are presented in a way that feels approachable and manageable. Finally, the platform supports a seamless workflow, allowing users to focus on their research or tasks rather than struggling with the software. These qualities collectively make Optimal Workshop a reliable and efficient tool for many projects, justifying its high usability rating.
The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.
We’ve never had to use much of their support services since the platform is very easy to use, we have however needed to transfer ownership between team members due to people leaving or other circumstances. Under those situations, the support offered to us has been been very quick and efficient and we never had to nudge them much to get the job done.
I rate this question this way solely because I haven't requested any support. I feel where I will eventually get support would be when we take Parse.ly up on some training that is being offered. We are looking to do that at some point after the first of the year and when our schedules support it.
For the price as it is very convenient for first-time beginners, its intuitiveness both for the one who is designing the activities and for those who have to interact with them. The fact that it collects and gathers the data into insights of the overall responses collected by all users.
Parse.ly does pretty well compared to Chartbeat, particularly when it comes to historical information and analysis options that are easy for employees to use after some short training. The onboarding for Parse.ly is intuitive, and the scheduled reports take away basically all of the inconvenience associated with regular metrics reviewing. But Chartbeat wins in its social audience tracking because it can source traffic to a specific social post, which can show you exactly how your audience is coming to your content and where you need to put your content to be sure you get that audience.
Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.
