Statsig Developer Tier
StatsigReviews from AWS customer
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Statsig is awesome.
What do you like best about the product?
As a developer found multiple good point about Statsig.
1) Integration is easy
2) Code snippet available on dashboard, so became easy to add in codebase.
3) Staging Environment available along with production.
4)Customer Support team is awesome. They response very fast and accurate.
1) Integration is easy
2) Code snippet available on dashboard, so became easy to add in codebase.
3) Staging Environment available along with production.
4)Customer Support team is awesome. They response very fast and accurate.
What do you dislike about the product?
Statsig just need to improve there autopilot chatbot (Statbot) because some time not giving accurate response.
What problems is the product solving and how is that benefiting you?
It helps in multiple way as follow.
1) Enable/Disable any UI/Feature on our application using statsig feature gate.
2) We can do experiment for testing our new UI i.e we can show 50% user to new UI and 50% user to old UI. So by this way we can understand pattern
4)We track user activity.
1) Enable/Disable any UI/Feature on our application using statsig feature gate.
2) We can do experiment for testing our new UI i.e we can show 50% user to new UI and 50% user to old UI. So by this way we can understand pattern
4)We track user activity.
Launching experiments at blaze speed
What do you like best about the product?
Ease of use,quick implementation and integration to our system was so nice to bring in experiments from ideas to product was just few steps away
What do you dislike about the product?
Not as of now but initial training was little less intutive but team picked up after feedback
What problems is the product solving and how is that benefiting you?
We used used have manual featre configs in git and experiments were difficult to introduce at scale.After statsig we are able to launch experiemnts during the ideation itself with quick steps not atall difficult
Statis is great!
What do you like best about the product?
Statsig helps run experiments and test product improvements easily. It allows provides allows an extensive set of analysis to review the experiments.
What do you dislike about the product?
Tertiary analysis or complex experiments are hard to integrate with statsig.
What problems is the product solving and how is that benefiting you?
It has helped us test product offerings and shaped our product for the better.
StatSig has exceeded our expectations ... and occasionally pocketbooks
What do you like best about the product?
StatSig is a lightweight, fast, and extensible solution for experimentation, optimization, analytics, and technical operations. Beyond the classic experimentation features, it also
- allow us to automatically optimize using multi-arm-bandit (aka 'AutoTune')
- use their metrics explorer to conduct deeper analysis and reporting, without other BI tools
- operate and optimize an extensible series of product components within their dynamic configs, allowing non technical users to onboard new clients, change settings, and modify core product behavior at a low-level.
- allow us to automatically optimize using multi-arm-bandit (aka 'AutoTune')
- use their metrics explorer to conduct deeper analysis and reporting, without other BI tools
- operate and optimize an extensible series of product components within their dynamic configs, allowing non technical users to onboard new clients, change settings, and modify core product behavior at a low-level.
What do you dislike about the product?
Their pricing for event-level data storage and analysis has been cost prohibitive, however generally this is easily overcome with minor architectural changes / addons.
What problems is the product solving and how is that benefiting you?
Statsig tackles three big pain points for us and delivers clear wins in each area:
Slow, manual experimentation → Automated, faster learning
- Statsig’s lightweight A/B framework lets us spin up tests in minutes instead of days.
- “AutoTune” (their multi-armed-bandit feature) shifts traffic to winners on-the-fly, so we harvest gains without waiting for a fixed test horizon.
Fragmented analytics stack → One place for answers
- The built-in Metrics Explorer lets product and growth teams slice results, run significance checks, and build reports—no separate BI tool or SQL gymnastics required.
Hard-coded product settings → Self-serve, dynamic configs
- Dynamic Configs act like a remote control panel for our app. Non-technical teammates can onboard new clients, toggle features, or tweak pricing/UX variables without engineering deploys, which shortens iteration cycles and frees dev hours for bigger work.
Net result: we learn faster, ship safer, and iterate on product logic without piling work onto engineers.
Slow, manual experimentation → Automated, faster learning
- Statsig’s lightweight A/B framework lets us spin up tests in minutes instead of days.
- “AutoTune” (their multi-armed-bandit feature) shifts traffic to winners on-the-fly, so we harvest gains without waiting for a fixed test horizon.
Fragmented analytics stack → One place for answers
- The built-in Metrics Explorer lets product and growth teams slice results, run significance checks, and build reports—no separate BI tool or SQL gymnastics required.
Hard-coded product settings → Self-serve, dynamic configs
- Dynamic Configs act like a remote control panel for our app. Non-technical teammates can onboard new clients, toggle features, or tweak pricing/UX variables without engineering deploys, which shortens iteration cycles and frees dev hours for bigger work.
Net result: we learn faster, ship safer, and iterate on product logic without piling work onto engineers.
Great experience
What do you like best about the product?
Statsig is a very user-friendly tool that facilitates the interpretation and analysis of results. It is very reliable and greatly accelerates the experimentation processes.
What do you dislike about the product?
The implementation process can be a bit long. However, it is worth it.
What problems is the product solving and how is that benefiting you?
The generation of scorecards and analysis of results was very complex and took us a lot of time. Statsig helps us make everything faster so we can have more experiments with less operational load, and much more reliable results.
Great A/B testing and feature gating framework
What do you like best about the product?
So far I have only tried feature gating and dynamic config. It is very easy to use and absolutely helpful to speed up our development.
What do you dislike about the product?
Nothing so far. If I had to make a wish list: I'd hope it has better integration with our logging framework so that I can have a all-in-one A/B testing to metrics/logging analysis.
What problems is the product solving and how is that benefiting you?
It helped us easily run A/B testing and demo
A solid product that can get cluttered easily
What do you like best about the product?
I think statsig allows us to ship AB tests instantly. Its so quick and I can't imagine working without it.
What do you dislike about the product?
Statsig's combination of feature flags, experiments, and other features can get a bit messy to keep control of. Partially our implementation is to blame, but within each of these options on the statsig console, there is just too much going on. I often have to navigate for a bit to find what i'm looking for, and i wish it was easier to find my way around the site.
What problems is the product solving and how is that benefiting you?
A/B testing is instant, and helps us make decisions fast.
I improve the workflow and analysis times
What do you like best about the product?
Easy to use, maintains good experimentation practices, reduced analysis time, and improved workflow.
What do you dislike about the product?
Few compared to its benefits, but I would like to have the option to reconfigure an experiment with a historical change.
What problems is the product solving and how is that benefiting you?
The question in Spanish is not clear, bad translation.
Review
What do you like best about the product?
I really don't like much, I think it's very difficult to experiment with this.
What do you dislike about the product?
The table that we get in SQL only brings one impression per user and only when the user reach the screen in the experiment. For me it should bring impressions every time the user ENTERS the app. Also I don't like that the table doesn't load impressions form the same day. In the platform Is difficult to link 2 experiments and assign a proper configuration for both (you can do it with a hold out group but if I have two completely different experiment I cannot put 2 default configs in that).
What problems is the product solving and how is that benefiting you?
None, I preffered the old platform that we used to use
Powerful A/B testing that rivals the best toosls I’ve used at Meta and other companies
What do you like best about the product?
Statsig is a lot like the high-end experimentation tools I had at Meta. It's fast, accurate, and able to handle tests at scale but still has a nice UI and doesn't require a lot of heavy setup. I can launch an A/B test very quickly and easily share the dashboard with the rest of my team. It's also easy to dig into specific segments to find insights I’d probably miss otherwise. As a PM running lots of experiments, it’s become the main tool we use to reliably make run experiments and make launch decisions.
What do you dislike about the product?
Some of the advanced features to dig in and see different insights and cohorts takes some time to learn, but once you get the hang of them, they’re incredibly useful.
What problems is the product solving and how is that benefiting you?
Reliably running A/B experiments and making launch decisions on whether we should launch it or not.
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