Statsig Developer Tier
StatsigReviews from AWS customer
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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 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
good experience on statsig
What do you like best about the product?
easiness to navigate
functionalities provided
demonstration function is good for rule checking
functionalities provided
demonstration function is good for rule checking
What do you dislike about the product?
sometimes things get complicated, takes a while to find stuff
What problems is the product solving and how is that benefiting you?
ramping
provides all kinds of API / protocol for different use cases
provides all kinds of API / protocol for different use cases
Statsig for Engineering experiments
What do you like best about the product?
The team answered my questions in a very timely and effective manner. The bot was also great at performing an initial assessment and guidance. Overall, my experience with Statsig has been great and unlocked the true potential of our tem either experimentation
What do you dislike about the product?
I would like to have integration with Snowflake to view my experiment results. Also the Snowflake sync to bring data in is not always consistently on schedule
What problems is the product solving and how is that benefiting you?
Easy distribution of entries across experiment groups, without the overhead of keeping track of which group should go where. Easy for any person to run an experiment, whether from Engineering or not. Helping us make conscious decisions about our changes that affect the core of the business
Simple and efficient
What do you like best about the product?
Incredibly easy for my engineer to integrate. Experiment results are quite easy to follow
What do you dislike about the product?
more controls on experiment reporting - particularly around conversion metrics. I have an experiment optimizing a purchase event. The only change I made was a UI update just before the purchase
The denominator on the experiment is EVERYONE in the cohort, as opposed to just the users that got deep enough in the funnel to see the paywall. This means my conversion rate is a smaller number and thus takes longer to hit statsig
The denominator on the experiment is EVERYONE in the cohort, as opposed to just the users that got deep enough in the funnel to see the paywall. This means my conversion rate is a smaller number and thus takes longer to hit statsig
What problems is the product solving and how is that benefiting you?
Simple experimentation
Really powerful experimentation platform
What do you like best about the product?
I like that it's so easy (when set up correctly) to read your experimentation results and to break it down by different dimensions
What do you dislike about the product?
Not dislike, but it is worth considering that it still takes time to maintain and processes to set up metrics, but when set up correctly it speed up experimentation
What problems is the product solving and how is that benefiting you?
as a ds, I dont have to do all post-experimental analysis manually
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