New tool, great experience
May 07, 2024
New tool, great experience

Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Optimizely Web Experimentation
We use Optimizely Web Experimentation to conduct A/B-test in order to optimize our digital customer journeys, for various products and service we provide. We usually want to test our hypotheses based on our UX-researches, and get these hypotheses confirmed or rejected by quantitative methods, and A/B-test is one of the methods we use.
Pros
- Test design
- Test monitoring
- Test result analysis
Cons
- Documentation tools for tests
- Easier visualization tool for test variants
- Statistical significance calculation for alla metrics
- Create test-based work culture
- Promote data-driven decision making
- Introduce new way of working with digitalization
We are new in AB-test, and this tool provides with very easy-to-use interface and people with less knowledge in coding can also create and launch tests without too much trouble.
Do you think Optimizely Web Experimentation delivers good value for the price?
Yes
Are you happy with Optimizely Web Experimentation's feature set?
Yes
Did Optimizely Web Experimentation live up to sales and marketing promises?
Yes
Did implementation of Optimizely Web Experimentation go as expected?
Yes
Would you buy Optimizely Web Experimentation again?
Yes

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