Statsig Developer Tier
StatsigReviews from AWS customer
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Reliable and flexible experimentation platform
What do you like best about the product?
Statsig makes experimentation genuinely easy to adopt and operate at scale.
Experiment setup is simple and intuitive, which lowers the barrier to running experiments quickly.
It’s easy to verify that exposures work as expected using overrides and by checking the Diagnostics tab.
Custom metrics are easy to define, which is critical for tailoring experiments to real product and business outcomes.
A major strength is the ability to define custom user dimensions for each exposure, which enables much more effective and flexible analysis of experiment data.
The analysis experience is strong, especially when breaking down metrics across different user dimensions.
Experiment setup is simple and intuitive, which lowers the barrier to running experiments quickly.
It’s easy to verify that exposures work as expected using overrides and by checking the Diagnostics tab.
Custom metrics are easy to define, which is critical for tailoring experiments to real product and business outcomes.
A major strength is the ability to define custom user dimensions for each exposure, which enables much more effective and flexible analysis of experiment data.
The analysis experience is strong, especially when breaking down metrics across different user dimensions.
What do you dislike about the product?
One area where Statsig could improve is identifying bot traffic more effectively.
We’ve observed some experiment exposures coming from bots and had to proactively report these cases to help improve detection. While the Statsig team was responsive, stronger built-in bot identification would help reduce noise in experiment results.
We’ve observed some experiment exposures coming from bots and had to proactively report these cases to help improve detection. While the Statsig team was responsive, stronger built-in bot identification would help reduce noise in experiment results.
What problems is the product solving and how is that benefiting you?
Statsig solves the problem of running reliable, production-ready experiments without excessive setup or operational overhead. In my role as a Principal Search Engineer, it allows me to quickly design, launch, and validate experiments with confidence, while ensuring exposures and metrics are behaving as expected. This significantly reduces the time and effort required to go from hypothesis to insight and enables faster, more informed product decisions in a production environment.
Effortless Experimentation and Feature Flags with Statsig
What do you like best about the product?
Statsig excels at fast, reliable experimentation. It makes feature flags, A/B tests, and impact measurement easy to run at scale, with strong statistical rigor and minimal engineering overhead.
What do you dislike about the product?
The UI and analysis workflows can feel opinionated and less flexible for deep, exploratory analysis, and advanced use cases still require engineering involvement.
What problems is the product solving and how is that benefiting you?
Statsig solves the problem of safely shipping and validating changes. It enables controlled rollouts, rigorous experimentation, and clear impact measurement, reducing risk while helping teams iterate and learn faster.
Powerful Features Deliver Actionable Results Effortlessly
What do you like best about the product?
Powerful and complex features under the hood but operators don't need to understand the details to get actionable results.
What do you dislike about the product?
Unable to query for any meaningful data via console. For example a query or metric with filters returned as a time series view.
What problems is the product solving and how is that benefiting you?
Feature and content experimentation and product analytics
Effortless Experimentation and Insightful Dashboards
What do you like best about the product?
Statsig makes it really easy to run experiments and roll out features safely. I love how simple the dashboards are and how quickly I can see the impact of my changes.
What do you dislike about the product?
Sometimes the interface can feel a bit overwhelming
What problems is the product solving and how is that benefiting you?
Statsig helps us run experiments and roll out features safely, so we can test improvements to the listener and creator experience without risking stability. It gives us clear metrics on how changes affect engagement and performance, which helps us make data-driven decisions faster.
Effortless Feature Rollouts and Experimentation
What do you like best about the product?
I love using Statsig for its intuitive and fast workflow, which makes managing feature rollouts and running experimentation workflows across our product efficient and straightforward. The clean user interface and reliable metrics and analysis provide a seamless experience. Having previously built an experimentation platform, I am particularly impressed by the statistical depth Statsig offers. The support for sequential testing and safe peeking is a huge advantage, allowing our teams to avoid waiting for a fixed sample size or worrying about inflating false positives, which significantly enhances our workflow. The transition from our internally built system was smooth, thanks to its straightforward and easy initial setup. Overall, Statsig effectively addresses the challenges we faced with more flexibility, features, and reduced operational complexity, making it an invaluable tool for shipping features safely and making data-informed decisions.
What do you dislike about the product?
One area that could be improved in Statsig is the workflow for sharing experiments or feature gates in development with colleagues. Although using overrides is an option, it can be somewhat cumbersome.
What problems is the product solving and how is that benefiting you?
I use Statsig to manage feature rollouts and run experiments efficiently. It offers flexibility, reduces operational complexity, and improves decision-making with reliable metrics and analysis. The support for sequential testing enhances our workflow without inflating false positives.
Simplifies Experimentation with Powerful Features
What do you like best about the product?
I really appreciate Statsig for its fast feature introduction, which helps keep our projects moving forward efficiently. The user interface is excellent and well-designed, making navigation intuitive and straightforward, which enhances overall usability. The experimentation features stand out as highly valuable, allowing easy and effective implementation of A/B testing, bucketing, and feature gating. What I love most is how it makes experimentation straightforward by providing the ability to roll forward and backward on exposures, ensuring flexibility and control during testing phases.
What do you dislike about the product?
I find some aspects of Statsig to be opaque, resembling a black box, which makes them hard to comprehend. Better explanations and transparency regarding these complex features could greatly enhance my understanding and user experience.
What problems is the product solving and how is that benefiting you?
I find Statsig makes experimentation easy with effective A/B testing, fast feature introduction, and an intuitive UI, allowing easy exposure changes.
Exceptional Support and Seamless Setup with Statsig
What do you like best about the product?
I am thoroughly impressed with Statsig for several reasons. First and foremost, I love the robust support offered, both in terms of comprehensive documentation and versatile SDKs, that facilitate the use of Statsig on client and server sides, and enable seamless cross-domain implementation. The documentation is particularly commendable for its clarity and ease of readability, providing insightful guidance on leveraging SDKs across various scenarios and concepts, which greatly aids in understanding and applying the tool efficiently. Additionally, the straightforwardness of Statsig's initial setup was a notable advantage, as it was supported with prompt and effective assistance whenever our team had queries, making the transition from our previous product, Amplitude, a smooth process. Moreover, I greatly appreciate the export functionality to a Redshift cluster, which enhances our data management capabilities. The efficiency with which Statsig allows us to conduct product analytics—logging events, running A/B tests, and gaining valuable customer insights into site interactions, as well as experimenting with user subsets—has been a game-changer for us. Overall, these features combine to create an invaluable tool that I am highly likely to recommend to others.
What do you dislike about the product?
Nothing
What problems is the product solving and how is that benefiting you?
I use Statsig for product analytics, gaining customer insights, and conducting A/B tests effectively. Its clear documentation, robust SDKs, and support streamline our analytics, facilitating client and server-side operations.
ScalingExperimentation with Exceptional Support
What do you like best about the product?
I use Statsig primarily for assisting in the running product experiments, and it has become an invaluable tool for our Product team's efforts to scale experimentation. It provides a centralized platform for running tests and analyzing results, which significantly enhances our ability to experiment efficiently. I am particularly impressed with the exceptional level of support provided by the Statsig team. Even though in a recent example the initial auto-response was helpful, having a team member reach out to fully understand and address the issue made me appreciate their dedication to customer service. I also like that as analysts, we have the capability to track our metrics outside of experiments to monitor their performance. Additionally, Statsig offers a central repository for storing our metrics definitions, providing a single source of truth across the business. This feature simplifies our workflow and ensures consistency in our data analytics approach.
What do you dislike about the product?
I think the user interface could be made more user-friendly, especially for product people who might not be as familiar with some of the statistical terminology and methods around experimentation - although I appreciate this is universally a difficult problem to solve for.
What problems is the product solving and how is that benefiting you?
It's helping us scale our testing across the business and helping to build an experimentation mindset towards product development by making testing accessible.
Reliable Automation and Outstanding Support
What do you like best about the product?
This platform automates analysis effectively and has proven to be trustworthy. Its commitment to experimental rigor stands out, and the support team is always responsive.
What do you dislike about the product?
Slow to refresh analysis, some feature gaps between experiment analysis and power analysis
What problems is the product solving and how is that benefiting you?
Automating the process of handling experiment results has helped us save time.
Nodus Statsig Review
What do you like best about the product?
Statsig provides all the tools your team need to effectively manage the daunting process of Feature Flags. Their UI provides a great way for team members to collaborate and launch new feature flags.
What do you dislike about the product?
The interface can be a bit overwhelming to start, but once you get started it starts to feel like second nature.
What problems is the product solving and how is that benefiting you?
Statsig has helped us create a robust Feature Flag management system for our product.
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