December 2025 Summaries

Creating a successful AI-powered experience involves more than simply integrating a language model into a user interface; it requires refining prompts, model choices, and parameters, alongside establishing a continuous feedback loop to enhance the experience with each interaction. Statsig’s approach, demonstrated through their AI support agent Statbot, emphasizes the integration of offline evaluations, real-world feedback, and A/B experimentation to ensure robust and scalable AI solutions. Offline evaluations provide a foundation for trust by using a curated dataset to catch potential issues before updates are rolled out, while online evaluations focus on learning from real customer interactions, utilizing detailed traces to refine performance. A/B experiments are crucial for determining which model variations yield the best customer outcomes, as demonstrated by a playful experiment with Statbot’s persona that highlighted the balance between customer amusement and business metrics. Statsig combines these elements into a cohesive development platform, aligning product managers, engineers, and AI operators on data and metrics to promote continuous improvement and impactful AI deployment.

The Model Context Protocol (MCP) is a standard that facilitates the interaction between AI systems and software systems, crucial for accessing critical data and workflows, especially when using AI coding agents that operate outside the integrated development environment (IDE). The Statsig MCP server exemplifies this by integrating feature gates, experiments, and metrics directly into AI development workflows, enhancing visibility and control. This integration allows AI agents to interact seamlessly with Statsig tools, such as feature flags and experiment configurations, thereby reducing context-switching and enabling a streamlined development process. Through OAuth-based secure connections, AI coding assistants like Codex and Cursor can use the Statsig MCP server to manage configurations, retrieve data, and maintain consistent and informed development cycles. By embedding these capabilities into AI-driven workflows, developers can ensure that AI agents operate with necessary guardrails and measurement tools, thus supporting faster, more reliable, and data-driven coding practices without compromising on control or visibility.

In 2025, Statsig experienced significant growth, marked by the launch of a new feature every three days, expansion to 170 employees, and the acquisition of 20,000 weekly active users, culminating in a partnership with OpenAI. Founded in 2021 to bridge the gap in market availability of world-class experimentation tools, Statsig has evolved beyond product data tooling, enabling teams to make data-driven decisions, ship products faster, and continuously learn from user behavior. The company has collaborated with fast-growing companies like Notion, Figma, and OpenAI, providing them with platforms for rapid experimentation and optimization. Statsig's influence has expanded as experimentation becomes crucial for both digital natives and traditional enterprises, especially with the rise of AI-powered products that require real-world validation. In 2025, Statsig processed 3 trillion events daily and executed nearly 7 million analytics queries, reflecting a 2.5× year-over-year growth in experiments and feature gates. The company's future focus is on facilitating fast and reliable learning from users, ensuring that teams can adapt and innovate effectively in an increasingly AI-driven landscape.

Statsig has launched the Statsig Partner Program, aiming to enhance the adoption of experimentation, analytics, and feature management across modern companies by building a collaborative ecosystem of solutions experts, technology builders, and cloud and data partners. This initiative, led by Matt Lewis, seeks to strengthen the experimentation culture in organizations by integrating Statsig's capabilities into everyday tools and platforms, thereby reducing friction and increasing adoption. Solutions partners provide expertise in engineering and digital transformation, technology partners embed experimentation within their products, and cloud and data warehouse partners facilitate seamless integration into enterprise data environments. Through partnerships with companies like Speero, Vercel, and Snowflake, Statsig is creating a robust network that accelerates product development and enables companies to ship products faster, gain deeper insights, and build with greater confidence. The program is open to various partners, including consultancies, ISVs, SaaS platforms, and data infrastructure providers, to help modernize product development processes.