Statsig Developer Tier
StatsigReviews from AWS customer
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Easy to use for developers
What do you like best about the product?
Easy-to-use API makes it easily to build with
What do you dislike about the product?
Reloading pulse data does not give accurate indication of progress
What problems is the product solving and how is that benefiting you?
A/B test metric collection and surface-level analysis
Works great!
What do you like best about the product?
Easy and quick to setup. Very streamlined integration with Vercel
What do you dislike about the product?
Not much! The dashboard is a bit confusing at first and a quick tutorial at the beginning would be helpful.
What problems is the product solving and how is that benefiting you?
Provide analytics for a website
Powerful tool for experimentation
What do you like best about the product?
A lot of control around exposures and metrics
What do you dislike about the product?
Mostly just still coming to terms with the differences with launch darkly
What problems is the product solving and how is that benefiting you?
Mostly around experimentation and feature gating.
Intuitive and amazing all-in-one experimentation platform
What do you like best about the product?
Statsig provides a platform for the entire lifecycle of an experiment. The clear distinction between different concepts like events and metrics enables teams to learn and adopt the industry-leading ways of running experiments. It has allowed my team to start experimenting within a month.
What do you dislike about the product?
The Statsig UI can be hard to navigate in the beginning. It takes a while to understand how to find individual features but they are getting better at surfacing them.
What problems is the product solving and how is that benefiting you?
Statsig provides a good experimentation platform which is easy to use and get results quickly.
Great Productf
What do you like best about the product?
Great product for experimentation, reduces lot of manual effort, and very easy to use
What do you dislike about the product?
nothing specific, but could improve diagonstic tab perf.
What problems is the product solving and how is that benefiting you?
It reduces lot of manual effort requried in experiment step up and post analysis by reusing lot of existing metricsf
Most straight forward experimentation and flag SDK we've used
What do you like best about the product?
Implementing on our CDN edge and in our nextjs app was straight-forward and seamless.
What do you dislike about the product?
We could have used more code examples with various scenarios and use-cases demoed in code.
What problems is the product solving and how is that benefiting you?
A/B testing in our app and on the edge, answering user experience questions before we do mass releases.
Great Statistic First Experimentation Platform
What do you like best about the product?
I love the implementation of experimentation best practice. It has made my job taking colleagues on the journey of uplifting experimental practices very straightforward. The documentation Statsig provides also is super valuable.
What do you dislike about the product?
It can take a while to learn the key terminology used within the software
What problems is the product solving and how is that benefiting you?
Statsig is our experimentation platform
Fantastic consolidated experimentation platform
What do you like best about the product?
Statsig is an outstanding platform for product experimentation and analysis. Its intuitive A/B testing, real-time insights, and robust statistical methods gives confidence in experiment results.
I've struggled in the past with using multiple different products to achieve the same result and thankfully Statsig solves them all in one product
I've struggled in the past with using multiple different products to achieve the same result and thankfully Statsig solves them all in one product
What do you dislike about the product?
There is definitely a bit of a learning Curve with the UI, and the product itself is built with a data science focus. However, both of those are overcome with time spent in the product and those become positives.
What problems is the product solving and how is that benefiting you?
Statsig is providing us a all in one experimentation platform. This helps a lot with post experiment analysis where I no longer need to manually calculate statistical significance for ongoing experiments or estimate error bars. This removes errors, makes me more efficient and gives me a lot more confidence in our results!
Super Useful
What do you like best about the product?
Statsig makes it so easy to experiment with new features and measure their impact in a truly data driven way! It exposes the true impact of your changes and allows you to focus on making changes that benefit your customers
What do you dislike about the product?
Once you go past 5M events per month it starts to increase in cost but you should be getting out more than you put in by then!
What problems is the product solving and how is that benefiting you?
It makes A/B testing so easy to perform and reduces the burden on engineers trying to test different versions of a feature
Very clear results for experiment analysis
What do you like best about the product?
What stands out to me is that there is a clear difference between experiment and feature flags. You can create as many combinations of releases as you'd like with users and its relatively straighforward to modify these!
What do you dislike about the product?
Sometimes the clarity between experiment groups and feature flags and then hold out groups is not very clear and creates problems in production with users not being where they are expected to be. I would like there to be an easy way (workflow) that if a user is assigned to a particular layer (e.g., access to all of our feature flags) for them to be automatically removed from holdout groups.
What problems is the product solving and how is that benefiting you?
I think the main key things statsig has been a key in helping us deliver, build and release features, are:
• Gradually roll out features: We launch new features to a small percentage of users first, so we can identify and fix potential issues before a full release, reducing the risk of shipping broken functionality. Before we used statsig it was horrible and we'd be risking our affecting all our user base (100s of thousands of users).
• A/B test and optimise designs: We can experiment with different design variations and keep only features that actually enhance user experience without causing friction or overwhelming users (easy access to this data also by using mixpanel in combination). This sometimes goes as small as just adding a simple emoji to a text and clearly showing that has better statistics!
• Make data-driven decisions: Instead of relying on intuition, we use data with its statistical significance to assess whether a feature improves engagement, retention, and overall the number of users that are premium!
• Personalise user experiences: We use the dynamic feature gates to tailor user experiences based on various factors (behaviour, demographics, or preferences), and we have seen this to lead to higher satisfaction and conversion rates to premium.
• Automatic rollback: If something breaks production or if it just simply affects our key metrics badly, we can simply rollback automatically or just add in quick adjustments without requiring a hot fix in production.
• Increase development efficiency!: The engineers in our team can now confidently ship faster as they are less worried about deploying features. This has made a huge difference in ensuring a smooth release process without affecting our products stability!
Statsig has been a game-changer for us, making our development process so much better! Having this level of experimentation and feature control has significantly improved how we deliver value to our users.
• Gradually roll out features: We launch new features to a small percentage of users first, so we can identify and fix potential issues before a full release, reducing the risk of shipping broken functionality. Before we used statsig it was horrible and we'd be risking our affecting all our user base (100s of thousands of users).
• A/B test and optimise designs: We can experiment with different design variations and keep only features that actually enhance user experience without causing friction or overwhelming users (easy access to this data also by using mixpanel in combination). This sometimes goes as small as just adding a simple emoji to a text and clearly showing that has better statistics!
• Make data-driven decisions: Instead of relying on intuition, we use data with its statistical significance to assess whether a feature improves engagement, retention, and overall the number of users that are premium!
• Personalise user experiences: We use the dynamic feature gates to tailor user experiences based on various factors (behaviour, demographics, or preferences), and we have seen this to lead to higher satisfaction and conversion rates to premium.
• Automatic rollback: If something breaks production or if it just simply affects our key metrics badly, we can simply rollback automatically or just add in quick adjustments without requiring a hot fix in production.
• Increase development efficiency!: The engineers in our team can now confidently ship faster as they are less worried about deploying features. This has made a huge difference in ensuring a smooth release process without affecting our products stability!
Statsig has been a game-changer for us, making our development process so much better! Having this level of experimentation and feature control has significantly improved how we deliver value to our users.
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