Statsig Developer Tier
StatsigReviews from AWS customer
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Collaborative, quick, and always improving
What do you like best about the product?
A responsive partner that ships improvements fast
I’m a Product Analytics Manager and I’ve been genuinely impressed with how Statsig works with us. The collaboration model between our Internal Experimentation Hub and the Statsig team feels like a tight feedback loop, not a vendor relationship. We share casual feedback and they translate it into changes quickly. The product has improved visibly quarter after quarter, which has made our experimentation smoother and our decisions faster. Support is quick, thoughtful, and pragmatic. If you care about momentum and a team that actually listens, Statsig is a great choice.
I’m a Product Analytics Manager and I’ve been genuinely impressed with how Statsig works with us. The collaboration model between our Internal Experimentation Hub and the Statsig team feels like a tight feedback loop, not a vendor relationship. We share casual feedback and they translate it into changes quickly. The product has improved visibly quarter after quarter, which has made our experimentation smoother and our decisions faster. Support is quick, thoughtful, and pragmatic. If you care about momentum and a team that actually listens, Statsig is a great choice.
What do you dislike about the product?
Governance is still a team sport, it is too easy for different groups to spin up the same metric under different names. I’d love stronger guardrails like a global registry, aliasing, and approval workflows.
This is a common challenge across platforms, not a Statsig issue.
This is a common challenge across platforms, not a Statsig issue.
What problems is the product solving and how is that benefiting you?
Statsig gives us one single place to run, read and analyze experiments, which solves some big problems:
- Speed - we now have much clearerreadouts thanks to the ability to breakdown metrics in valuable segments within the same tool and whitout needing to have SQL skills, now product-teams can move from launch to decision faster.
- Trust- Consistent metrics (which could be better handled in the tool) and disgnostics reduce the usual questions about results being real. It also allows make results comparable across teams overtime
-Scale - the collaboration model between Product Teams -> Experimentation Hub <-> Statsig allows for more concurrent tests being supported and Statsig is quick to ship improvements based on our feedback
The benefit for Product Analytics is: clearer reads on domain main. KPIs, fewer bespoke analyses (meaning more time for analysts to focus on more complex, higher value analysis), and faster, safer iteration on features that improve our customer experiences
- Speed - we now have much clearerreadouts thanks to the ability to breakdown metrics in valuable segments within the same tool and whitout needing to have SQL skills, now product-teams can move from launch to decision faster.
- Trust- Consistent metrics (which could be better handled in the tool) and disgnostics reduce the usual questions about results being real. It also allows make results comparable across teams overtime
-Scale - the collaboration model between Product Teams -> Experimentation Hub <-> Statsig allows for more concurrent tests being supported and Statsig is quick to ship improvements based on our feedback
The benefit for Product Analytics is: clearer reads on domain main. KPIs, fewer bespoke analyses (meaning more time for analysts to focus on more complex, higher value analysis), and faster, safer iteration on features that improve our customer experiences
STATSIG and SampleApp.ai are killing the game!
What do you like best about the product?
I've been testing a lot of different no code (vibe code) builders lately, and I think that SampleApp.ai is one of the best ones I've used thus far!
What do you dislike about the product?
I think it's brand new, so the only thing I noticed was a slight hallucination when using SampleApp.ai that I'm sure is an easy fix. Other than that, I was VERY impressed with the speed and quality that it build my app. Some of these no code builders do a crappy job and the end product looks trashy. With these guys, my app had a much more modern and sleek look that matched up with the times (Sept. 3, 2025). Highly recommended. Don't sleep on this one! : -)
What problems is the product solving and how is that benefiting you?
It's helping me bring my ideas to life FAST and run A/B tests to determine the optimal way to create and deploy my applications. I come from a pay-per-click (PPC) advertising background, so A/B testing is something I think that should be in EVERY product online (SaaS, Web Apps, Websites, etc.).
Best experimentation platform
What do you like best about the product?
It is super easy to set up experiments, track them and get insights. It’s an excellent experimentation platform!
What do you dislike about the product?
Honestly nothing. I can do almost anything needed for my experiments
What problems is the product solving and how is that benefiting you?
It’s allowing us to conduct A/B test. It is making us more efficient and helping us to take scientific decisions.
Feature flags, experiments, and impact in one place
What do you like best about the product?
It’s the tight join between shipping and learning. We plan rollouts, define success metrics once, then let Statsig run trustworthy analysis (including CUPED and switchbacks) and Autotune traffic. Results are clear, decisions are auditable, and the warehouse-native mode means our source of truth stays in Snowflake/BigQuery. We’ve genuinely cut time to insight while increasing confidence in product decisions.
What do you dislike about the product?
There’s a mild learning curve when you first set up metrics, guardrails, and experiment taxonomy. Event-based pricing is fair, but you do need to watch noisy clients and background events. The UI is dense in places, though it pays off once your team’s rhythm is set.
What problems is the product solving and how is that benefiting you?
We needed to move quickly without breaking things. Statsig lets us ramp features safely, prove impact with clear dashboards, and automatically steer traffic to winners. Pricing scales sensibly, SDKs are robust, and the UI is powerful once you learn the basics. It’s materially improved release safety, experiment velocity, and confidence in product decisions.
An Intuitive, Performant and Constantly Improving A/B testing Platform
What do you like best about the product?
The platform makes it easy for non-technical users to setup A/B tests, and for our experimentation team to help them every step of the way. Any concerns we raise usually receive a response within 24 hours.
What do you dislike about the product?
The documentation lags behind current functionality because of the release cycle.
Would be great if these two were kept in sync
Would be great if these two were kept in sync
What problems is the product solving and how is that benefiting you?
A/B testing features before they are shipped.
Facilitating exploratory analyses and meta-analyses on historical experimental data.
Facilitating exploratory analyses and meta-analyses on historical experimental data.
Great way to run experiments!
What do you like best about the product?
Once your system is integrated, not difficult to link a new experiment to your code.
What do you dislike about the product?
Sometimes the UI is a bit confusing, could definitely use more tooltips when editing an experiment.
What problems is the product solving and how is that benefiting you?
It lets us iterate with our business logic, to ensure we are making positive changes and lets us validate assumptions about our platform.
A Feature Flagging Platform That Scales with Confidence and Velocity
What do you like best about the product?
Statsig strikes the perfect balance between power and ease of use. Its developer-friendly SDKs, real-time flagging, and rich experimentation tools make it incredibly easy to build, test, and deploy features with confidence. The integration experience is smooth, the documentation is clear, and their governance features—like approval workflows and audit logs—are exactly what teams need to stay safe while moving fast. Statsig has become an essential part of our product development lifecycle, from gated beta launches to controlled rollouts to full A/B tests with measurable impact.
What do you dislike about the product?
The only downside is that Statsig's powerful feature set can be overwhelming for new team members who aren't familiar with experimentation platforms. While the UI is clean, some advanced capabilities—like experiment analysis or parameterized gates—have a learning curve that requires onboarding. This makes initial easy of implementation challenging. That said, their customer support is responsive, and their learning resources continue to improve, so the ramp-up is manageable with the right guidance.
What problems is the product solving and how is that benefiting you?
Statsig is solving the challenge of confidently releasing and iterating on features without compromising stability or speed. By giving us fine-grained control over feature exposure, it eliminates the risks of full-scale rollouts and enables us to test in production with real users. Their built-in experimentation and observability tools let us measure the actual impact of every feature on key metrics, which has transformed the way we make product decisions. We’ve moved from gut-feel launches to data-informed releases, which reduces rework, builds trust across teams, and accelerates our development cycle.
So easy to use
What do you like best about the product?
Statsig has been an absolute game-changer for my workflow. What stood out immediately was how easy it is to get started—the setup is smooth, the documentation is clear, and within minutes I was up and running. Unlike other platforms that feel heavy or over-engineered, Statsig strikes the perfect balance between power and simplicity.
The two features I use most are feature flags and dynamic configs, and they’ve both worked flawlessly. Feature flags make it effortless to roll out new functionality safely, test changes incrementally, and toggle features on and off without hassle. Dynamic configs give me flexible control over application behavior in real time, which has saved me countless redeploys and made experimentation seamless.
Overall, I love how intuitive and developer-friendly the platform is. Statsig feels like it was designed with usability in mind, and it has quickly become a core part of how I ship and manage features. I’d recommend it to any team that values speed, safety, and simplicity in feature delivery.
The two features I use most are feature flags and dynamic configs, and they’ve both worked flawlessly. Feature flags make it effortless to roll out new functionality safely, test changes incrementally, and toggle features on and off without hassle. Dynamic configs give me flexible control over application behavior in real time, which has saved me countless redeploys and made experimentation seamless.
Overall, I love how intuitive and developer-friendly the platform is. Statsig feels like it was designed with usability in mind, and it has quickly become a core part of how I ship and manage features. I’d recommend it to any team that values speed, safety, and simplicity in feature delivery.
What do you dislike about the product?
Honestly, there is nothing that I dislike
What problems is the product solving and how is that benefiting you?
Statsig is most useful for dynamic feature management.
A powerful, fast, and affordable feature flagging + experimentation tool
What do you like best about the product?
Statsig makes it incredibly easy to get started with feature flags, A/B testing, and remote configuration. The SDKs are fast and reliable, integrations are straightforward, and the platform offers a great balance of powerful features without unnecessary complexity. I really appreciate the generous free tier and the affordable pricing after that, it makes experimentation accessible to both small teams and large organizations. Their YouTube channel and learning resources also do a fantastic job of explaining not just the product but also experimentation best practices.
What do you dislike about the product?
There isn’t much to dislike. Statsig does a lot really well. The UI can feel a little overwhelming at first because of how many features are packed in, and some advanced capabilities take time to fully understand. That said, the documentation and videos help bridge the gap quickly, so it’s a minor issue.
What problems is the product solving and how is that benefiting you?
Statsig helps us release features more confidently both internally and externally—by letting us control rollouts safely and roll back instantly if needed. It also makes it easy to experiment with new features through A/B testing and gather analytics on how those changes impact users. This gives our team faster feedback loops, reduces risk in deployments, and helps us make data-informed decisions instead of relying on guesswork.
Simple to use, makes sense intuitively, complexity hidden from user
What do you like best about the product?
The best thing I like is how easy it is to add new gates and run experiments. All the things like ensuring user bases dont collide, rerunning experiments etc have all been made very easy
What do you dislike about the product?
Not so much so dislike, but i would like if feature flags could be defined for multiple scopes simultaneously.
What problems is the product solving and how is that benefiting you?
to understand positive impact, ease of entry for user base through experiments
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