Maze is a rapid user testing platform from Maze.design in Paris, designed to give users actionable user insights, in a matter of hours. The vendor states that with it, users can test remotely, autonomously, and collaboratively.
$75
per month
Optimizely Feature Experimentation
Score 7.4 out of 10
N/A
Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.
Maze User Testing is great if you're interested in doing user research from the comfort of your own desk. You can easily setup usability tests, surveys, card sorting and tree tests among other things to get a better understanding of how customers use your product. The only limitation at the moment with Maze that I can identify is only being able to do unmoderated tests, so if you'd like to be able to ask follow up questions in the moment, Maze is not the tool for you.
I would use Optimizely Feature Experimentation when we would like to run basic experiments where metrics to be tracked are impressions, revenue or clicks. However, most of our experiments are tracking more complex metrics and this functionality is not enough. We still need to do work to analyse the data in our end.
Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.
Splitting feature flags from actual experiments is slightly clunky and can be done either as part of the same page or better still you can create a flag on the spot while starting an experiment and not always needing to start with a flag.
Recommending metrics to track based on description using AI
A Lookback is an alternative option if you think Maze User Testing is quite expensive for you, but look back has a different approach to Maze User Testing. Lookback focuses on qualitative usability testing instead of quantitative UserTesting. And also, Maze User Testing has a free option but Lookback doesn't have it, but Lookback has a cheaper option at $19/month than Maze.
Optimizely Feature Experimentation is better for building more complex experiments than Optimizely Web. However, Optimizely Web is much easier to kickstart your experimentation program with as the learning curve is much lower, and dedicated developer resources are not always necessary (marketers can build experiments quickly with Optimizely Web without developers' help).
Experimentation is key to figuring out the impact of changes made on-site.
Experimentation is very helpful with pricing tests and other backend tests.
Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.