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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    monday dev

    Score9.2 out of 10
    N/Amonday dev is a product to plan, track, and ship software while staying connected to the business, featuring AI capabilities that allow it to analyze bugs as they are submitted, summarize product documents, and automatically assign tasks.

    $36

    per month 3 seats (minimum)

    Optimizely Feature Experimentation

    Score8.4 out of 10
    N/AOptimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A
    Pricing
    monday devOptimizely Feature Experimentation
    Editions & Modules
    Basic
    $12
    per month per seat
    Standard
    $14.5
    per month per seat
    Pro
    $25
    per month per seat
    Enterprise
    Contact Sales
    No answers on this topic
    Offerings
    Pricing Offerings
    monday devOptimizely Feature Experimentation
    Free Trial
    YesNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional DetailsPlans start at 3 seats. Yearly save 18%—
    More Pricing Information
    Community Pulse
    monday devOptimizely Feature Experimentation
    Considered Both Products
    monday.com
    No answer on this topic
    Optimizely
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    13 Answers
    89%
    Would buy again
    41 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    97%
    Delivers good value for the price
    33 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    13 Answers
    91%
    Happy with the feature set
    42 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    88%
    Lived up to sales and marketing promises
    21 Answers
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    80%
    Implementation went as expected
    28 Answers
    Features
    monday devOptimizely Feature Experimentation
    Project Management
    Comparison of Project Management features of monday dev and Optimizely Feature Experimentation
    Feature
    monday dev
    7.8
    11 Ratings
    5% above category average
    Optimizely Feature Experimentation
    -
    Ratings
    Task Management8.411 Ratings00 Ratings
    Resource Management8.411 Ratings00 Ratings
    Gantt Charts7.710 Ratings00 Ratings
    Scheduling7.311 Ratings00 Ratings
    Support for Agile Methodology7.210 Ratings00 Ratings
    Support for Waterfall Methodology7.310 Ratings00 Ratings
    Document Management7.610 Ratings00 Ratings
    Email integration8.49 Ratings00 Ratings
    Mobile Access8.19 Ratings00 Ratings
    Timesheet Tracking7.99 Ratings00 Ratings
    Change request and Case Management7.99 Ratings00 Ratings
    Budget and Expense Management8.06 Ratings00 Ratings
    Search8.010 Ratings00 Ratings
    Visual planning tools7.411 Ratings00 Ratings
    Agile Development
    Comparison of Agile Development features of monday dev and Optimizely Feature Experimentation
    Feature
    monday dev
    7.5
    11 Ratings
    2% below category average
    Optimizely Feature Experimentation
    -
    Ratings
    DevOps Tool Integrations7.910 Ratings00 Ratings
    Code Review8.56 Ratings00 Ratings
    Code Collaboration6.87 Ratings00 Ratings
    Velocity Calculation7.28 Ratings00 Ratings
    Dependencies and Blockers7.010 Ratings00 Ratings
    Best Alternatives
    monday devOptimizely Feature Experimentation
    Small Businesses
    Pivotal Tracker
    Score5 out of 10
    No answers on this topic
    Medium-sized Companies
    Planview AgilePlace
    Score7.5 out of 10
    No answers on this topic
    Enterprises
    Planview AgilePlace
    Score7.5 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    monday devOptimizely Feature Experimentation
    Likelihood to Recommend
    8.7
    (13 ratings)
    8.2
    (47 ratings)
    Likelihood to Renew
    8.9
    (2 ratings)
    4.5
    (2 ratings)
    Usability
    7.9
    (13 ratings)
    7.6
    (26 ratings)
    Support Rating
    8.0
    (2 ratings)
    3.6
    (1 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    monday devOptimizely Feature Experimentation
    Likelihood to Recommend
    monday.com
    I find Monday helpful for lead management. It's great because details like phone, email, and addresses are specific columns from which we can grab data and pull it into other areas. It's great to see who is assigned what and to know what the next steps are for your leads. We use a different scheduling tool with our team, as that calendar view isn't as robust.
    Incentivized
    Read full review
    Optimizely
    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 -
    Incentivized
    Read full review
    Pros
    monday.com
    • Managing specific objectives
    • Automation
    • Integration and interaction with GitHub
    • Scheduling and feedback effectively
    Incentivized
    Read full review
    Optimizely
    • 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.
    Incentivized
    Read full review
    Cons
    monday.com
    • Sometimes, it's a little technical to set up. Someone who isn't particularly savvy will have a hard time setting it up.
    • Sometimes there are glitches in the automations.
    • The comments areas can be confusing- how they nest. Things can get lost in there.
    Incentivized
    Read full review
    Optimizely
    • 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
    Incentivized
    Read full review
    Likelihood to Renew
    monday.com
    We are very likely to renew, because it has been really useful
    Incentivized
    Read full review
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Usability
    monday.com
    I give a ten for monday dev's usability because it was a really smooth transition coming from Jira to monday dev. All team members also felt that way. When managing projects, the quality and various options I am able to customize views and columns for each task is really a dealbreaker. Approved.
    Incentivized
    Read full review
    Optimizely
    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
    Incentivized
    Read full review
    Support Rating
    monday.com
    Good engagement from account manager
    Incentivized
    Read full review
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
    Read full review
    Implementation Rating
    monday.com
    No I wasn't involved
    Incentivized
    Read full review
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
    Read full review
    Alternatives Considered
    monday.com
    It is at least as good as these tools, in many ways, it is better because it is easier to use and setup. It doesn't require a full-time admin like these tools do. It does lack some of the detailed reporting and such that these offer, but the product is still young and growing. These are much more well-developed tools
    Read full review
    Optimizely
    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
    Incentivized
    Read full review
    Scalability
    monday.com
    No answers on this topic
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Return on Investment
    monday.com
    • Although the initial operational cost is usually somewhat high, it is really worth considering in an environment with more than 10 employees working together.
    • In project costing (web development) it is quite acceptable and falls within the scope of the final product quote.
    • I don't have exact numbers or percentages (because I'm not in charge of that section) but I can say that it falls within a good to acceptable ROI range.
    Incentivized
    Read full review
    Optimizely
    • 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.
    Incentivized
    Read full review
    ScreenShots

    Optimizely Feature Experimentation Screenshots

    Screenshot of Feature Flag Setup. Here users can run A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of A Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes