Statsig Developer Tier
StatsigReviews from AWS customer
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Statsig is fast, flexible, and a great platform for data-driven teams.
What do you like best about the product?
Statsig makes it easy to run experiments and manage feature flags at scale. It’s fast, intuitive, and integrates seamlessly with our workflow. Turning on experiments, gating features, and rolling out changes is smooth and reliable. The real-time analytics are especially powerful, letting us quickly see feature performance across metrics and make confident, data-driven decisions without manual analysis.
What do you dislike about the product?
Statsig is really an awesome platform but there are a few areas which could be better. UI sometimes feels a bit cluttered especially when there are too many experiments or feature gates to manage. It could have a better-filtering grouping on the experiment results view. More advanced filtering and grouping on the experiment results view.
What problems is the product solving and how is that benefiting you?
Statsig enables us to very easily and precisely perform A/B tests hence solving the problem of making product decisions without clear data. By connecting experiments to real-time metrics, we can quickly figure out what’s going on and what’s not. It’s improved our ability to release features with confidence, reduce guesswork, and make smarter, faster product decisions.
Simple to Integrate
What do you like best about the product?
Statsig has a lot of documentation on how to get started using their platform. After following a few simple steps, you are ready to start using their feature gates, metrics integrations, and experiment platform. It is relatively low maintenance with a lot of rich features.
What do you dislike about the product?
I do not fully understand the implementation of the SDK and it can be a bit bulky or overly complicated if you do not have experience setting up systems.
What problems is the product solving and how is that benefiting you?
Statsig serves as a single, easy to access source of feature management. It is very flexible in the ways it can be used, but also very easy to use. It allows us to quickly setup and enable feature flags and experiments without any extra overhead.
Great product with a responsive team behind it
What do you like best about the product?
The product is fairly feature-complete, with holdouts, gates, experiments, and autotunes.
What do you dislike about the product?
Some aspects of the UI can be counterintuitive, e.g., balance holdout analyses make it seem as if the holdout split is 50-50.
What problems is the product solving and how is that benefiting you?
We needed a robust UI and expanded tooling to our in-house solution.
Great presentations and community building
What do you like best about the product?
Ease of use and accuracy. They are also very helpful when reaching out for questions
What do you dislike about the product?
Nothing in particular, but excited for new AI capabilities
What problems is the product solving and how is that benefiting you?
Offers a standardized platform of experimentation
All we need for experimentation
What do you like best about the product?
I love that Statsig is so much more than just an A/B testing tool. Having feature flags, a parameter store, and experimentation all in one platform is incredibly versatile and has simplified our workflow immensely. On top of a great product, their support team is consistently fast and resolutive whenever we need help.
What do you dislike about the product?
While our overall experience has been very positive, one area for improvement is the implementation of user stitching. The feature itself is powerful and works well once configured, but we found the setup process to be quite complex. It requires specific technical knowledge that wasn't fully covered in the documentation, which created some initial hurdles for our team.
What problems is the product solving and how is that benefiting you?
Statsig's primary benefit to us is solving the critical problem of experiment collision, which was a major bottleneck that slowed down our product development. By using its powerful 'Layers' feature, we can now confidently run multiple, potentially conflicting, A/B tests in parallel on the same user surface without any risk of them interfering with each other. We have precise control to split traffic between these simultaneous experiments, which not only guarantees the integrity and trustworthiness of our results but also empowers our teams to test and learn much faster instead of waiting in a queue. This has dramatically increased our overall testing velocity and confidence in making data-driven decisions.
Technically Great
What do you like best about the product?
I appreciate the technicality of the platform. It's easy to learn, hard to master for someone like myself—only around 30% technical in my day to day. There are plenty of features and statistical rigor.
What do you dislike about the product?
On the other hand, the technicality can be a bit unsettling to someone who doesn't have any technical background. The average marketer might not vibe with the experience.
What problems is the product solving and how is that benefiting you?
URL Splits and WYSIWYG editor for website testing.
Great powerful tool.
What do you like best about the product?
Really impressed with the power it has for leveling up our experimentation.
What do you dislike about the product?
It’s so powerful it can be confusing for a not-incredibly-technical person. I feel like I could get a lot more out of it but don’t have the time.
What problems is the product solving and how is that benefiting you?
We run experiments with new features and test things in our mobile apps. Now we’re starting to test on our marketing website for landing page tests.
A easy to use tool for beginner
What do you like best about the product?
As a new user of statsig, I quickly caught on how to use this tool. The design of the interface was really self explanatory and it was simple for me to learn all of the functionalities and features. When my team did need help with quirks in our integration, customer support has been incredibly helpful in hopping on a call with us and aiding us in a solution with usually a quick turnaround time of a day.
What do you dislike about the product?
I really enjoy using the dashboard feature on statsig and I would like to see more features for this in the future.
What problems is the product solving and how is that benefiting you?
We are conducting A/B tests on our users for different features on our application and Statsig allows us the capability to do. We also can see how metrics are constantly fluctuating over time.
It is a powerful experimentation platform that enables teams to run reliable feature tests.
What do you like best about the product?
Statsig offers a unified platform for engineers to easily add metrics, flags, configurations, and experiments without complex setup or additional infrastructure. The in-built observability tools are great and provide real-time insights, enabling engineers to monitor application/experiment performance and product impact.
What do you dislike about the product?
Minor downside, but there is a noticeable delay between real-time events and when they become available for advanced filtering in dashboard.
What problems is the product solving and how is that benefiting you?
Very straightforward setup for dynamic configs, flags and experiments.
Great advantaged statistical tool for scaling experimentation
What do you like best about the product?
StatSig was crucial in us scaling our experimentation efforts at Attentive in a short amount of time, while ensuring that all our experiments followed the best practices outlined by our Data Science team. We knew we could reliably trust the metrics and results we saw in the dashboard. The ease of use is incredible and the Slack channel customer support is very fast to respond and address issues as they arise.
What do you dislike about the product?
- Wish there was custom alerting
- Could use more robust experiment analytical tools available. Even better would be automatically generated insights. The industry is moving in this direction, so I would be surprised if StatSig didn't already have a plan to get there :)
- Could use more robust experiment analytical tools available. Even better would be automatically generated insights. The industry is moving in this direction, so I would be surprised if StatSig didn't already have a plan to get there :)
What problems is the product solving and how is that benefiting you?
Scaling & standardizing experimentation
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