OpenText Application Quality Management vs. Optimizely Feature Experimentation

Very slow and not intuitive; it would be my last choice for version control systems.The UI is a little confusing at times and seems a little outdated. It needs a lot of improvement. It is suited for small projects and fewer number of projects. But if there are huge projects and many projects to be maintained in a portfolio, its a little hard to manage.

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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 -

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• One place for most recent code with history, avoid any conflict/confusion among other team/members.
• Stream/Workflow approach to control approval process betwen all the teams, which I couldn't find in other version control tools I worked.
• Bundle our code in a small group (called, Issues in Accurev) to differentiate between different projects.

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• 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.

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• Ability to zoom in/out for stream-view. We currently have many streams/substreams and unable to view the entire workflow. Zooming in/out would benefit.
• Being a designer, I use Adobe Flash and SWF files. When updating the SWF files, Accurev does not see these files as being changed and you will be unable to promote. In order to push changes, you must totally rename the SWF file.

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• 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

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We will renew because it is part of our build process.

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Competitive landscape

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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

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Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams

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It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it

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In my view, accurev ranks very low compared to other tools I have used. Microsoft TFS is the best in the industry as of today as it's a complete ALM solution. It does code version, bug tracking, user story documentation, and has easy integration with other external tools supporting many languages. So I would definitely recommend TFS to anyone.

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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

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had troubles with performance for SSR and the React SDK

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• Better team coordination.
• Avoid confusion by having one place for all documentation and code.
• Better project management by having different work streams.

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Independently Invited by TrustRadius

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• 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.

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Invited by TrustRadius (TR) on Vendor's Behalf

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