A software project management system used to plan, track and release great software with this lightweight and customizable system that integrates into any project management workflow. FogBugz is designed for software development teams and includes all the project management tools developers need straight out of the box. Users can: Track projects from start to finish - With tasks and subtasks for each case with required details and track them to ensure…
$62
per month
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.
FogBugz has been a very useful tool to our organization, and much preferred over other options we reviewed, mainly JIRA. There are still some improvements needed, but with the fairly recent acquisition by DevFactory, we have a great deal of hope for what is in store given DevFactory's focus and transparency. It seems like both DevFactory and FogBugz customers are eager for substantial improvements on the front-end, but there is/was a great deal of backend housecleaning that definitely needed to take place first.
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
Tasks, Subtasks, and notes. All three of these areas were critical for our team. Tasks in Fogbugz were a bit easier to see than in more bug based software like Trello or JIRA
The entire screen is used to view a task or case. Clicking on a task or case will open up and take up the entire screen, aside from the sidebar nav columns. I like to see details and I think Fogbugz does this very well, using up as much digital real estate as possible.
Flowcharting in Fogbugz with Creately is nice - instead of getting an exterior flowchart software like Lucidchart, Creately works right in Fogbugz.
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 simplicity of a single admin type user is not great because anyone who can create a job or client in the system, can also add and delete users. Content and User administrative rights should be separated.
There are ways to change the terminology/lexicon within the tool, but we are not able to get it to work even after reaching out to tech support. So we are forced to use the system terminology that doesn't match up to our company making training a bit difficult.
There is a subscribe function that you can opt into, there should be a way to add subscribers as you create a new task.
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
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
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
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
Saves time by quickly allowing Developers to make the necessary notes without getting bogged down in bloated UIs
Has allowed us to look back easily and see the exact code changes made for the exact Case to aid in decisions for current changes, increasing the certainty of the decided path, without regression
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
