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KNOWLEDGE CULTURE

Why people love Statsig’s customer support

Thanks to our support team, our customers can feel like Statsig is a part of their org and not just a software vendor. We want our customers to know that we're here for them.

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TECH KNOWLEDGE

What migrating experimentation platforms actually entails

Migrating experimentation platforms is a chance to cleanse tech debt, streamline workflows, define ownership, promote democratization of testing, educate teams, and more.

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KNOWLEDGE

Understanding sample size

Calculating the right sample size means balancing the level of precision desired, the anticipated effect size, the statistical power of the experiment, and more.

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KNOWLEDGE

Recency bias: The silent saboteur in statistics

The term 'recency bias' has been all over the statistics and data analysis world, stealthily skewing our interpretation of patterns and trends.

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CULTURE

Early startup journey: Year two at Statsig

A lot has changed in the past year. New hires, new products, and a new office (or two!) GB Lee tells the tale alongside pictures and illustrations:

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TECH KNOWLEDGE

CUPED Explained

A deep dive into CUPED: Why it was invented, how it works, and how to use CUPED to run experiments faster and with less bias.

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TECH KNOWLEDGE FEATURED

Statsig x Langchain: Unlocking experimentation in Langchain apps using Statsig

With the statsig-langchain package, developers can set up event logging and experiment assignment in their Langchain application within minutes, unlocking online experimentation in Langchain applications

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KNOWLEDGE

Statsig @ Data Council 2023

As a data meeting, buzzwords were well-represented at Data Council 2023; Generative AI, the Semantic Layer, data observability—and did we say AI?

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KNOWLEDGE

The benefits of using feature flags

The benefits of feature flagging are plentiful and all relate to the ability to control and gather metrics around individual features rather than an app build as a whole.

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KNOWLEDGE

How to build an effective feature flagging and experimentation RFP

To ensure that your feature flagging and experimentation platform RFP meets your business needs, it's important to prepare before diving into writing the RFP.

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TECH KNOWLEDGE

AI Experimentation: How to optimize the performance of AI-powered features using Statsig (Webinar Recording)

Join the discussion: How to record important model inputs and outputs such as prompt, model choices, cost, and latency, and also measure performance and interpret results.

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TECH KNOWLEDGE

Experimenting on cached content

Sophisticated caching architecture ensures optimal performance when serving pages, assets, and API responses—and also caches responses for experimentation.

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TECH KNOWLEDGE

Online experimentation: The new paradigm for building AI applications

To embrace online testing of AI models, companies need the right set of tools to rapidly iterate on new ideas, learn from failures, and more on.

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TECH KNOWLEDGE FEATURED

AI Experimentation: How to Optimize Model Temperature with Statsig’s Autotune

Autotune can optimize model temperature for any apps that use language models, and doing so allows companies to find the right balance between variability and precision.

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TECH KNOWLEDGE

Build vs. buy: Making the right decision for your feature flagging and experimentation platform

The decision to build versus buy an experimentation and feature flagging platform is not an easy one. As a solutions engineer, this is a conversation I have regularly. These are my thoughts...

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Customer Stories
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Headspace
Shannon Priem
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Head of Data
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Whatnot
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Product Engineering Manager
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