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📺 What is Statsig? (And Who Is It For?) Beginner's Guide
In the video above, Zain, Adasight's experimentation lead, gives a beginner's tour of Statsig, starting with its feature management tools. This article zooms in on that first part: what feature gates, dynamic configs, and parameter stores actually do, and why they matter. If you'd rather see it in the product, the video is the quickest way in.
The short version: Feature management in Statsig is the set of tools that let you control what's live in your product without shipping new code. It has three main parts: feature gates (turn features on or off and roll them out to specific user segments), dynamic configs (change in-product settings and values remotely), and parameter stores (update things like logos and banners on the fly). Together they let you decouple releasing a feature from deploying code — so you can launch, limit, or roll back changes instantly.
What "feature management" actually means
Normally, changing something in your product means a developer edits code, and that change goes live when the next deploy ships. Feature management breaks that link. You wrap a change in a control you can flip from a dashboard, so the code can already be deployed but stay switched off until you decide otherwise, and switched on for whoever you choose, whenever you choose.
In Statsig, you'll find these tools grouped under Feature Management in the left-hand menu: feature gates, dynamic configs, parameter stores, and a control panel to manage them. If you're brand new to the platform, our complete guide to Statsig is a good primer on how the whole thing fits together.
Feature gates: turn features on and off, safely
A feature gate is a remote switch for a product feature. Instead of a feature being simply live or not, it sits behind a gate you control from Statsig — so you can turn it on or off without touching code, and roll it out to specific user segments rather than everyone at once.
That unlocks a few everyday patterns:
- Gradual rollouts — release a new feature to 5% of users, watch for problems, then ramp to 100%.
- Kill switch — if something breaks in production, flip the gate off instantly instead of scrambling for an emergency deploy.
- Targeted access — open a feature to beta users, a single account, or users in one region.
Dynamic configs: change settings without deploying
Dynamic configs work in a similar spirit, but instead of a simple on/off, they let you update values and configurations in your product remotely. Rather than hard-coding a setting and redeploying every time it changes, you point your product at a dynamic config and update it from Statsig — the change takes effect without new code. It's the difference between "edit, commit, deploy, wait" and "change the value, done."
Parameter stores: update content on the fly
Parameter stores handle the smaller, content-like things that still technically live in your code — a logo, a banner, a piece of copy. Normally, changing one means a developer and a deploy. With a parameter store, those individual parameters become things you can update directly from Statsig, no deploy required. It's a clean way to hand routine content tweaks off the engineering queue.
The control panel
Tying it together, Statsig's control panel is where all of this is managed — the single place your team views and adjusts gates, configs, and stores. That centralization is part of the point: instead of feature control being scattered through the codebase, it lives in one dashboard the whole team can see.
Why this matters — and who it's for
The through-line across all three tools is decoupling release from deploy. That's valuable for a few reasons: launches get safer (roll out slowly, roll back instantly), engineering time gets freed up (product and marketing can flip switches without a ticket), and shipping gets faster (you deploy code once and control exposure separately).
It's most useful for product and growth teams that ship often and want control over who sees what, when — without a deploy standing between them and every change.
Where feature gates meet experimentation
Here's the part that makes feature management more than a convenience: the same gate that controls a rollout is also how you run an experiment. Split users into groups behind a gate, show each group a different experience, and you've got a controlled test. It's why feature-flagging and experimentation platforms tend to be the same tool — and it's a big reason Statsig shows up in comparisons like the best A/B testing tools in 2026. (We'll cover Statsig's experimentation features — layers, holdouts, and power analysis — in a follow-up post.)
See it in action
Zain walks through feature management and the rest of Statsig in his beginner's guide — the fastest way to get oriented before you log in.
▶ Watch "What is Statsig? (And Who Is It For?)" and follow along in your own workspace.
And if you're starting from scratch, grab our free Statsig 101: Getting Started Guide — a beginner-friendly walkthrough to get you up and running.
Building a real experimentation capability
Feature flags are the foundation, but turning them into a consistent, trustworthy experimentation practice is a bigger job. If you want help getting there — from setup to a repeatable testing cadence — our Experimentation Growth Engine is built for exactly that.
If you're just getting Statsig set up, our step-by-step Statsig setup guide walks through the basics first.
Frequently asked questions
What is feature management in Statsig?
It's the group of tools that let you control what's live in your product without deploying new code — feature gates, dynamic configs, and parameter stores, all managed from a central control panel.
What is a feature gate?
A feature gate is a remote on/off switch for a product feature. You can turn a feature on or off from the Statsig dashboard and roll it out to specific user segments, without changing or redeploying code — useful for gradual rollouts, targeted access, and instant rollbacks.
What's the difference between a feature gate and a dynamic config?
A feature gate is essentially on/off — it controls whether a feature is shown. A dynamic config controls values and settings within your product (not just whether something is on), letting you update configurations remotely without a deploy.
What are parameter stores used for?
Parameter stores let you update individual parameters that live in your app — things like logos, banners, or copy — directly from Statsig, without a code deploy. They're handy for routine content changes that would otherwise need a developer.
Do you need to be an engineer to change features in Statsig?
The initial setup (wiring gates, configs, and stores into your product) is a developer task, but once that's in place, non-engineers can turn features on or off, adjust configs, and update parameters from the dashboard — no deploy required.
