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
Optimizely Feature Experimentation
Score8.4 out of 10
N/A
Optimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.
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.
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
Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
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
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.
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
It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
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 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.
Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
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 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.
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
Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
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
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.
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
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
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.
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
When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
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. TR verified that a representative sample of customers was invited. 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
We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
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
