Statsig Developer Tier
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Easy to use A/B Testing Platform With More Than Meets The Eye
What do you like best about the product?
Statsig has become one of my favorite tools because it makes it so easy to run A/B tests and get clear results fast. On top of that, it gives me all the analytics I need to understand user behavior and product impact without bouncing between platforms. Their customer support is also incredibly responsive and helpful—they’ve jumped in quickly any time I’ve hit a snag or had a question about setup or interpretation.
What do you dislike about the product?
One thing that’s been a bit confusing as a product manager is understanding when to use dynamic configs, experiments, or feature gates. The lines between them can feel blurry, especially when you're trying to balance testing with rollout strategies. For example, setting up an experiment might seem straightforward, but if you're also using a feature gate to manage exposure or a dynamic config to control behavior, it’s not always clear which tool should be the source of truth. The documentation explains each separately, but in practice, it takes some trial and error to figure out how they all fit together in a real-world product flow. It’s powerful, but not always intuitive.
What problems is the product solving and how is that benefiting you?
Statsig solves two big problems for me. It makes A/B testing easy to set up and trust so I can quickly see what’s working and what’s not. It also gives me the product analytics I need to understand how users are engaging overall. Instead of waiting on data teams or jumping between tools I get everything in one place. That means faster decisions clearer insights and more time to focus on building the right things.
Flexible tool for remote configurations. Reporting features coming along.
What do you like best about the product?
Remote config, feature gates and the related.
What do you dislike about the product?
Perhaps it's our company setup, but reports are delayed by one day. In today's world, how can that be?
What problems is the product solving and how is that benefiting you?
It provides behavior reports, without those it would be impossible to make good decisions and find issues. It provides remote config/feature flag tools to ease testing and releasing.
Great for experimentation, data analysis - at scale
What do you like best about the product?
Love the experimentation features, doing ad hoc analyses with custom assignment sources, dimensionality, etc. Has enabled my team to ship impactful features for the product and business with insights about how our users respond to our feature changes
What do you dislike about the product?
Nothing stands out - some small nits/quirks around more functionality in documentation, meta analysis, and dashboarding views across experiments for a given team/surface
What problems is the product solving and how is that benefiting you?
Understanding impact of our changes
Integration and first experiment
What do you like best about the product?
Fast support, easy integration via libraries
What do you dislike about the product?
It takes a while to understand how configuration of whole thing like key, environment and experiment works
What problems is the product solving and how is that benefiting you?
It solves decisions if new features are valuable for customers
Effective and Powerful Experimentation Tool with a Learning Curve
What do you like best about the product?
What I like most about Statsig is how easy it is to set up experiments and actually understand the results. The built-in metrics and holdouts save a lot of time, and I like that it shows lift and significance clearly without needing to dig through a bunch of stats. It’s been really helpful for making quick, data-informed decisions.
What do you dislike about the product?
There are many powerful features our team could potentially leverage, but it’s been challenging to fully understand how to use them correctly. Needs more onboarding sessions!
What problems is the product solving and how is that benefiting you?
Statsig helps solve the challenge of running reliable experiments and rolling out features safely. It makes it easier to test ideas quickly with real users and measure impact without guesswork. For me, that means faster decision-making based on data, less risk when launching new features, and a clearer understanding of what’s actually working.
Huge Upgrade!
What do you like best about the product?
Statsig has been awesome to work with. The integration was super smooth — getting it into our codebase took barely any time, and the SDKs were super easy to understand. Everything just worked, which was a nice change of pace from our in-house A/B testing solution
The UI is also a huge plus. It's clean, intuitive, and makes it easy to manage feature flags and experiments without having to dig through a bunch of settings. I especially love the dashboards — they give a clear view of how things are performing, and the segmentation features are great for diving into how different groups are behaving. It's powerful, but still easy to use, which is rare.
The UI is also a huge plus. It's clean, intuitive, and makes it easy to manage feature flags and experiments without having to dig through a bunch of settings. I especially love the dashboards — they give a clear view of how things are performing, and the segmentation features are great for diving into how different groups are behaving. It's powerful, but still easy to use, which is rare.
What do you dislike about the product?
Not much, honestly. If I had to pick something, maybe some of the deeper features could use a bit more guidance the first time around. But once you get the hang of it, it all makes sense. The docs are solid, and their support is super helpful.
What problems is the product solving and how is that benefiting you?
Statsig makes it really easy to roll out features safely and run experiments without a ton of overhead. Before, we were either hardcoding flags or using super manual setups to A/B test things — which was time-consuming and not super reliable.
Best feature flag platform for startups
What do you like best about the product?
The ability to change the value of feature flag based on parameters across any environments
What do you dislike about the product?
There is not automated rollback of feature flag if some metric is bad.
What problems is the product solving and how is that benefiting you?
Able to turn on and turn off the feature flag outside of the standard release cycle.
Relatively easy to use
What do you like best about the product?
The UI is very easy to use to set up gates, experiments, configs. High level documentation is easy to follow and understand, and I found some YouTube videos that further explain concepts which is great. Slack support from the Statsig team was appreciated!
What do you dislike about the product?
Setting up the SDK had some limited documentation and we ran into a unique bug about login and value flashing that we didn't really have any reference for. Additionally there's some limitations about experiment setup and environments - you can choose different distributions for different environments but you can't choose different populations (50% of population in prod vs 100% of population in staging).
What problems is the product solving and how is that benefiting you?
We primarily use Statsig for A/B testing as well as feature rollout. The experiment support in Statsig is quite good with the ability to track primary and secondary metrics, set up holdout groups easily, and view comprehensive results after enough time has passed.
Lacking the
What do you like best about the product?
Statsig is very robust and have been very useful in setting up the experiments.
We have integrated Statsig with our vendors like SFMC. CDP and it has supported pretty well.
We have integrated Statsig with our vendors like SFMC. CDP and it has supported pretty well.
What do you dislike about the product?
We are doing POC with our vendor and since, we would like to know adhoc investigation and do lot of monitoring. We would need dashboards. We tried running dashboards in stastig but we felt it lacks maturity and can show only basic graphs. In future, this could be good opportunity to make complex dashboards as leadership have access to stastig and sometimes don't have tableau/databricks notebook access.
What problems is the product solving and how is that benefiting you?
Statsig have been helping our team in setting up and analyzing experiments and we have also use feature flag of statsig.
Earlier we were using RCS for feature flag but we found that was creating lot of bugs. Moving to feature flag have been one of the success stories for using stastig.
Earlier we were using RCS for feature flag but we found that was creating lot of bugs. Moving to feature flag have been one of the success stories for using stastig.
Easy to self-serve creating experiment dashboards and deep-dive results analysis by cohorts
What do you like best about the product?
I appreciate that I can self-serve create experiment dashboards and not having to wait on data science resources to create them to quickly monitor the health immediately after experiment launch. The ease of use of being able to deep-dive analysis by different cohorts defined by the data science team is very helpful as well.
What do you dislike about the product?
This is more of a setup rather than a downfall, but though I enjoy the self-serve aspect, it required a lot of coordination and time to get there. In order to onboard new funnel events to measure as primary and secondary metrics or even new cohorts, it requires data science resources. I also wish I can rerun past queries without having to clone it, or even save past queries but adjust the experiment id.
What problems is the product solving and how is that benefiting you?
Self-serve experiment dashboards and experiment analysis. It's helping me get to a decision quicker and run additional experiments faster.
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