monday dev vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
monday dev
Score 8.5 out of 10
N/A
monday dev is a collaboration tool for development teams from Monday.comN/A
Optimizely Feature Experimentation
Score 8.2 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.N/A
Pricing
monday devOptimizely Feature Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
monday devOptimizely Feature Experimentation
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
monday devOptimizely Feature Experimentation
Features
monday devOptimizely Feature Experimentation
Project Management
Comparison of Project Management features of Product A and Product B
monday dev
8.0
8 Ratings
6% above category average
Optimizely Feature Experimentation
-
Ratings
Task Management8.38 Ratings00 Ratings
Resource Management8.38 Ratings00 Ratings
Gantt Charts8.58 Ratings00 Ratings
Scheduling8.08 Ratings00 Ratings
Support for Agile Methodology8.07 Ratings00 Ratings
Support for Waterfall Methodology8.07 Ratings00 Ratings
Document Management7.97 Ratings00 Ratings
Email integration7.66 Ratings00 Ratings
Mobile Access8.37 Ratings00 Ratings
Timesheet Tracking8.07 Ratings00 Ratings
Change request and Case Management7.87 Ratings00 Ratings
Budget and Expense Management7.55 Ratings00 Ratings
Search8.08 Ratings00 Ratings
Visual planning tools7.98 Ratings00 Ratings
Agile Development
Comparison of Agile Development features of Product A and Product B
monday dev
7.8
7 Ratings
2% below category average
Optimizely Feature Experimentation
-
Ratings
DevOps Tool Integrations7.57 Ratings00 Ratings
Code Review8.05 Ratings00 Ratings
Code Collaboration8.45 Ratings00 Ratings
Velocity Calculation8.06 Ratings00 Ratings
Dependencies and Blockers7.17 Ratings00 Ratings
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monday devOptimizely Feature Experimentation
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Planview AgilePlace
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Score 9.1 out of 10
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Score 8.6 out of 10
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Score 9.1 out of 10
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User Ratings
monday devOptimizely Feature Experimentation
Likelihood to Recommend
8.7
(8 ratings)
8.3
(48 ratings)
Likelihood to Renew
10.0
(1 ratings)
4.5
(2 ratings)
Usability
8.4
(8 ratings)
7.7
(27 ratings)
Support Rating
9.0
(1 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.
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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 -
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Pros
monday.com
  • Managing specific objectives
  • Automation
  • Integration and interaction with GitHub
  • Scheduling and feedback effectively
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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.
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Cons
monday.com
  • More customization in automated tasks
  • Ability to send visual snapshots of reports and dashboards
  • Integrated reports from dashboards in dev and work management
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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
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Likelihood to Renew
monday.com
We are very likely to renew, because it has been really useful
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Optimizely
Competitive landscape
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Usability
monday.com
monday dev is intuitive, though slightly more complex that work management. If you can function in work management you can function in dev with minimal assistance.
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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
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Support Rating
monday.com
Our experience with Monday dev support has been good
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Optimizely
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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Implementation Rating
monday.com
No answers on this topic
Optimizely
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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Alternatives Considered
monday.com
I think that overall the way that monday dev stands out among its competitors is the great design layout and also its ease of use. Most platforms have so many steps when editing a project or customizing its view, and when you work with monday dev, you are able to customize it on the go with ease.
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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
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Scalability
monday.com
No answers on this topic
Optimizely
had troubles with performance for SSR and the React SDK
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Return on Investment
monday.com
  • We can more easily grab the KPIs for our quarterly reviews.
  • There are no automatic charts or reports I can pull for the quarter. Everything is manually gathered.
  • Doesn't give us job costing.
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Optimizely
  • We have a huge, noteworthy ROI case study of how we did a SaaS onboarding revamp early this year. Our A/B test on a guided setup flow improved activation rates by 20 percent, which translated to over $1.2m in retained ARR.
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ScreenShots

Optimizely Feature Experimentation Screenshots

Screenshot of Feature Flag Setup. Here users can run flexible 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