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Thoughts and insights from the team at Statsig
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Click-through rate demystified: How to turn impressions into actions
The Statsig Team
Mon Feb 10 2025
Mon Feb 10 2025
How APM improves DevOps workflows
The Statsig Team
Sun Feb 09 2025
Sun Feb 09 2025
Why CTR matters: Connecting clicks to user engagement
The Statsig Team
Sat Feb 08 2025
Sat Feb 08 2025
Containerization in DevOps: Best practices
The Statsig Team
Thu Feb 06 2025
Thu Feb 06 2025
Tools for conducting power analysis in online experiments
The Statsig Team
Thu Feb 06 2025
Thu Feb 06 2025
Best practices for setting up APM in production
The Statsig Team
Wed Feb 05 2025
Wed Feb 05 2025
Exponential growth basics: Strategies to skyrocket product adoption
The Statsig Team
Wed Feb 05 2025
Wed Feb 05 2025
Container orchestration with Kubernetes
The Statsig Team
Tue Feb 04 2025
Tue Feb 04 2025
Maximizing ARR: Tips for growing subscription-based businesses
The Statsig Team
Mon Feb 03 2025
Mon Feb 03 2025
Using behavioral triggers to drive retention
The Statsig Team
Sun Feb 02 2025
Sun Feb 02 2025
Kafka security: Protecting your event streaming platform
The Statsig Team
Wed Jan 29 2025
Wed Jan 29 2025
User journey vs. user flow: Differences and why they matter
The Statsig Team
Tue Jan 28 2025
Tue Jan 28 2025
ARR defined: Why annual recurring revenue drives sustainable growth
The Statsig Team
Tue Jan 28 2025
Tue Jan 28 2025
How to build a data-driven culture
The Statsig Team
Tue Jan 28 2025
Tue Jan 28 2025
When should you use containerization?
The Statsig Team
Mon Jan 27 2025
Mon Jan 27 2025
Troubleshooting ETL failures: Common issues and fixes
The Statsig Team
Sat Jan 25 2025
Sat Jan 25 2025
Data analytics for product teams
The Statsig Team
Sat Jan 25 2025
Sat Jan 25 2025
Retention cohort experiments: Segmenting loyal vs. fickle users
The Statsig Team
Tue Jan 21 2025
Tue Jan 21 2025
Making data-backed decisions: A practical intro to business analytics
The Statsig Team
Tue Jan 21 2025
Tue Jan 21 2025
Measuring APM success: Key metrics to track
The Statsig Team
Mon Jan 20 2025
Mon Jan 20 2025
Bayesian methods in data science: Applications and examples
The Statsig Team
Mon Jan 20 2025
Mon Jan 20 2025
Enhancing edge performance with Vercel and Statsig
The Statsig Team
Sun Jan 19 2025
Sun Jan 19 2025
Automating workflows with Webhooks and Statsig
The Statsig Team
Sun Jan 19 2025
Sun Jan 19 2025
Kafka vs. RabbitMQ: Which message broker should you use?
The Statsig Team
Sat Jan 18 2025
Sat Jan 18 2025
Exploring edge computing: Bringing cloud resources closer
The Statsig Team
Sat Jan 18 2025
Sat Jan 18 2025
Dev vs. staging vs. production: Key differences
The Statsig Team
Fri Jan 17 2025
Fri Jan 17 2025
Managing tech debt in a fast-paced development environment
The Statsig Team
Wed Jan 15 2025
Wed Jan 15 2025
ARR vs. MRR: Finding the right revenue model for your product
The Statsig Team
Tue Jan 14 2025
Tue Jan 14 2025
Churn prevention experiments: Hypotheses to test right now
The Statsig Team
Mon Jan 13 2025
Mon Jan 13 2025
Common causes of 502 bad gateway errors
The Statsig Team
Mon Jan 13 2025
Mon Jan 13 2025
Containers vs. serverless computing: Which to choose?
The Statsig Team
Sun Jan 12 2025
Sun Jan 12 2025
PMF unpacked: The key to sustainable growth in tech
The Statsig Team
Sun Jan 12 2025
Sun Jan 12 2025
Managing feature gates with GitHub and Statsig
The Statsig Team
Sat Jan 11 2025
Sat Jan 11 2025
Correlation vs causation: How to not get duped
The Statsig Team
Fri Jan 10 2025
Fri Jan 10 2025
A/B testing in high-dimensional spaces: Challenges and solutions
The Statsig Team
Thu Jan 09 2025
Thu Jan 09 2025
A/B testing vs. split testing: is there a difference?
The Statsig Team
Wed Jan 08 2025
Wed Jan 08 2025
Designing for scalability: Principles every engineer should know
The Statsig Team
Wed Jan 08 2025
Wed Jan 08 2025
Container networking: How it works and why it matters
The Statsig Team
Tue Jan 07 2025
Tue Jan 07 2025
Calculating CTR correctly: Formulas and practical examples
The Statsig Team
Tue Jan 07 2025
Tue Jan 07 2025
What is SaaS? Breaking down the basics for aspiring founders
The Statsig Team
Tue Jan 07 2025
Tue Jan 07 2025
Code reviews: Best practices for maintaining code quality
The Statsig Team
Tue Jan 07 2025
Tue Jan 07 2025
Building cross-platform applications with Flutter
The Statsig Team
Sun Jan 05 2025
Sun Jan 05 2025
The benefits and challenges of serverless architecture
The Statsig Team
Sun Jan 05 2025
Sun Jan 05 2025
How to fix 502 bad gateway errors
The Statsig Team
Sat Jan 04 2025
Sat Jan 04 2025
Leveraging Heap data in Statsig for smarter experiments
The Statsig Team
Sat Jan 04 2025
Sat Jan 04 2025
What does bias mean in experimentation?
The Statsig Team
Fri Jan 03 2025
Fri Jan 03 2025
How to make comparisons across cohorts
The Statsig Team
Thu Jan 02 2025
Thu Jan 02 2025
What is an ETL pipeline?
The Statsig Team
Thu Jan 02 2025
Thu Jan 02 2025
Overcoming sample size and priors in Bayesian tests
The Statsig Team
Tue Dec 31 2024
Tue Dec 31 2024
Monitoring Kafka clusters: Tools and techniques
The Statsig Team
Mon Dec 30 2024
Mon Dec 30 2024
Using correlation coefficients to prioritize experiment ideas
The Statsig Team
Mon Dec 30 2024
Mon Dec 30 2024
Using Google Analytics data to inform Statsig experiments
The Statsig Team
Mon Dec 30 2024
Mon Dec 30 2024
Experiment vs exploration: What's the difference? (And when to use each)
The Statsig Team
Sun Dec 29 2024
Sun Dec 29 2024
How to use cohort analyses to generate hypotheses
The Statsig Team
Sun Dec 29 2024
Sun Dec 29 2024
Is SQL an ETL tool?
The Statsig Team
Sun Dec 29 2024
Sun Dec 29 2024
Understanding Kafka consumers and producers
The Statsig Team
Sun Dec 29 2024
Sun Dec 29 2024
Avoiding false positives and false negatives with power analysis
The Statsig Team
Sat Dec 28 2024
Sat Dec 28 2024
Using KPIs to prioritize experiment ideas across teams
The Statsig Team
Sat Dec 28 2024
Sat Dec 28 2024
Why mobile developers should put their changes behind feature flags
The Statsig Team
Sat Dec 28 2024
Sat Dec 28 2024
Exponential growth vs. linear growth: What it means for your product
The Statsig Team
Sat Dec 28 2024
Sat Dec 28 2024
Balancing acquisition and retention: Dual-path experiment design
The Statsig Team
Fri Dec 27 2024
Fri Dec 27 2024
Building custom CI/CD pipelines with GitHub Actions
The Statsig Team
Fri Dec 27 2024
Fri Dec 27 2024
Using survey data as a springboard for quantitative experiments
The Statsig Team
Thu Dec 26 2024
Thu Dec 26 2024
Experiment planning: Timelines, teams, and tools
The Statsig Team
Thu Dec 26 2024
Thu Dec 26 2024
Real-time monitoring vs. historical APM analysis
The Statsig Team
Tue Dec 24 2024
Tue Dec 24 2024
502 bad gateway in cloud environments: Solutions
The Statsig Team
Tue Dec 24 2024
Tue Dec 24 2024
The role of observability in modern DevOps
The Statsig Team
Tue Dec 24 2024
Tue Dec 24 2024
Managing configuration specs in Fastly using Statsig
The Statsig Team
Mon Dec 23 2024
Mon Dec 23 2024
Finding product-market fit: Step-by-step strategies for startups
The Statsig Team
Sat Dec 21 2024
Sat Dec 21 2024
Machine learning monitoring: Keeping models healthy in production
The Statsig Team
Thu Dec 19 2024
Thu Dec 19 2024
What's the difference between longitudinal and cross-sectional cohort tests?
The Statsig Team
Thu Dec 19 2024
Thu Dec 19 2024
how to determine sample size for your A/B test
The Statsig Team
Wed Dec 18 2024
Wed Dec 18 2024
What is Apache Kafka?
The Statsig Team
Tue Dec 17 2024
Tue Dec 17 2024
What is a 502 bad gateway error?
The Statsig Team
Mon Dec 16 2024
Mon Dec 16 2024
Data analytics 101: Transforming raw information into product growth
The Statsig Team
Sun Dec 15 2024
Sun Dec 15 2024
Raising your CTR: Practical tips to surpass averages and grow faster
The Statsig Team
Sat Dec 14 2024
Sat Dec 14 2024
Optimizing data-driven experiments with Segment and Statsig
The Statsig Team
Fri Dec 13 2024
Fri Dec 13 2024
Common experiment design pitfalls
The Statsig Team
Fri Dec 13 2024
Fri Dec 13 2024
Minimizing bugs with proper staging workflows
The Statsig Team
Fri Dec 13 2024
Fri Dec 13 2024
Crafting an experiment dashboard: Essential KPIs to track
The Statsig Team
Fri Dec 13 2024
Fri Dec 13 2024
Avoiding pitfalls in exponential growth
The Statsig Team
Thu Dec 12 2024
Thu Dec 12 2024
Balancing short-term vs. long-term metrics in experiment design
The Statsig Team
Wed Dec 11 2024
Wed Dec 11 2024
The role of data science in feature engineering
The Statsig Team
Tue Dec 10 2024
Tue Dec 10 2024
Building resilient microservices: Lessons from the field
The Statsig Team
Tue Dec 10 2024
Tue Dec 10 2024
T-testing on conversions, clicks, and revenue
The Statsig Team
Mon Dec 09 2024
Mon Dec 09 2024
What is containerization?
The Statsig Team
Mon Dec 09 2024
Mon Dec 09 2024
Troubleshooting issues in staging environments
The Statsig Team
Sat Dec 07 2024
Sat Dec 07 2024
Leveraging Amplitude and Statsig for enhanced product analytics
The Statsig Team
Fri Dec 06 2024
Fri Dec 06 2024
How to interpret p-values and confidence intervals in t-tests
The Statsig Team
Thu Dec 05 2024
Thu Dec 05 2024
From CTR to conversions: Tracking the full user journey
The Statsig Team
Wed Dec 04 2024
Wed Dec 04 2024
How to set up a dev staging environment
The Statsig Team
Wed Dec 04 2024
Wed Dec 04 2024
How to build a robust ETL pipeline
The Statsig Team
Tue Dec 03 2024
Tue Dec 03 2024
Building fault-tolerant systems with circuit breakers
The Statsig Team
Tue Dec 03 2024
Tue Dec 03 2024
Calculating ARR: Simple steps to track subscription growth
The Statsig Team
Tue Dec 03 2024
Tue Dec 03 2024
Handling failures in distributed systems: Patterns and anti-patterns
The Statsig Team
Tue Dec 03 2024
Tue Dec 03 2024
Tracking experiment outcomes with LogDNA and Statsig
The Statsig Team
Mon Dec 02 2024
Mon Dec 02 2024
Using experimentation in your marketing funnel
The Statsig Team
Mon Dec 02 2024
Mon Dec 02 2024
Designing experiments to improve user retention
The Statsig Team
Mon Dec 02 2024
Mon Dec 02 2024
Staying informed on feature updates with Slack and Statsig
The Statsig Team
Sun Dec 01 2024
Sun Dec 01 2024
502 vs. 504 errors: What’s the difference?
The Statsig Team
Sat Nov 30 2024
Sat Nov 30 2024
A/B testing tools comparison: picking the right one for your product
The Statsig Team
Fri Nov 29 2024
Fri Nov 29 2024
What is feature engineering?
The Statsig Team
Fri Nov 29 2024
Fri Nov 29 2024
Syncing experiment data between Mixpanel and Statsig
The Statsig Team
Wed Nov 27 2024
Wed Nov 27 2024
Improving project collaboration with Discord and Statsig
The Statsig Team
Wed Nov 27 2024
Wed Nov 27 2024
Cohort-based A/B tests
The Statsig Team
Tue Nov 26 2024
Tue Nov 26 2024
Manual vs. automated feature engineering
The Statsig Team
Mon Nov 25 2024
Mon Nov 25 2024
Feature engineering for time-series data
The Statsig Team
Mon Nov 25 2024
Mon Nov 25 2024
Experimentation beyond A/B tests: Exploring multivariate and sequential testing
The Statsig Team
Sun Nov 24 2024
Sun Nov 24 2024
Integrating Heap with Statsig for advanced user analytics
The Statsig Team
Sat Nov 23 2024
Sat Nov 23 2024
Monitoring operational health with Datadog and Statsig
The Statsig Team
Fri Nov 22 2024
Fri Nov 22 2024
What is ARR? A beginner’s guide to recurring revenue metrics
The Statsig Team
Fri Nov 22 2024
Fri Nov 22 2024
Bias and variance: Accounting for human factors in experiments
The Statsig Team
Fri Nov 22 2024
Fri Nov 22 2024
CTR myths debunked
The Statsig Team
Thu Nov 21 2024
Thu Nov 21 2024
Security considerations when using third-party APIs
The Statsig Team
Thu Nov 21 2024
Thu Nov 21 2024
Understanding the exponential function for growth planning
The Statsig Team
Wed Nov 20 2024
Wed Nov 20 2024
KPI deep-dive: conversions, retention, and engagement in experiments
The Statsig Team
Wed Nov 20 2024
Wed Nov 20 2024
Turning cohort observations into actionable experimentation strategies
The Statsig Team
Tue Nov 19 2024
Tue Nov 19 2024
Automating gate management using Datadog and Statsig
The Statsig Team
Sun Nov 17 2024
Sun Nov 17 2024
Feature adoption vs. retention: testing the right hypothesis
The Statsig Team
Sat Nov 16 2024
Sat Nov 16 2024
What is application performance monitoring (APM)?
The Statsig Team
Sat Nov 16 2024
Sat Nov 16 2024
ARR meaning and impact: Why it matters in product & growth
The Statsig Team
Sat Nov 16 2024
Sat Nov 16 2024
Blending qualitative and quantitative approaches in product experiments
The Statsig Team
Fri Nov 15 2024
Fri Nov 15 2024
Causal inference in product experimentation
The Statsig Team
Fri Nov 15 2024
Fri Nov 15 2024
Containerization vs. virtualization: What’s the difference?
The Statsig Team
Thu Nov 14 2024
Thu Nov 14 2024
Integrating Stitch with Statsig for seamless data sync
The Statsig Team
Tue Nov 12 2024
Tue Nov 12 2024
real-time A/B test monitoring: best practices for quick decisions
The Statsig Team
Sun Nov 10 2024
Sun Nov 10 2024
Interpreting average CTR: Setting realistic goals for growth
The Statsig Team
Sun Nov 10 2024
Sun Nov 10 2024
Combining correlation and regression in experiment result analysis
The Statsig Team
Sun Nov 10 2024
Sun Nov 10 2024
APM case studies: Lessons from top tech companies
The Statsig Team
Sat Nov 09 2024
Sat Nov 09 2024
Defining product-market fit: Why it’s crucial for growth
The Statsig Team
Sat Nov 09 2024
Sat Nov 09 2024
When CTR misleads: Understanding the downsides of this metric
The Statsig Team
Fri Nov 08 2024
Fri Nov 08 2024
Experimentation with KPIs: Choosing the right primary metric
The Statsig Team
Fri Nov 08 2024
Fri Nov 08 2024
Measuring ROI on Bayesian vs. traditional A/B testing approaches
The Statsig Team
Thu Nov 07 2024
Thu Nov 07 2024
Micro-conversions: The hidden funnel stages worth testing
The Statsig Team
Thu Nov 07 2024
Thu Nov 07 2024
Mixed-method experimentation (Quantitative and qualitative)
The Statsig Team
Thu Nov 07 2024
Thu Nov 07 2024
Power function inference: How it affects experiment design
The Statsig Team
Thu Nov 07 2024
Thu Nov 07 2024
Staging environment best practices for product teams
The Statsig Team
Wed Nov 06 2024
Wed Nov 06 2024
Feature engineering tools: What’s available?
The Statsig Team
Tue Nov 05 2024
Tue Nov 05 2024
Feature engineering techniques for better model accuracy
The Statsig Team
Tue Nov 05 2024
Tue Nov 05 2024
Using RevenueCat data to inform subscription-based experiments in Statsig
The Statsig Team
Tue Nov 05 2024
Tue Nov 05 2024
Troubleshooting performance bottlenecks with APM
The Statsig Team
Mon Nov 04 2024
Mon Nov 04 2024
Tracking cohort changes over time
The Statsig Team
Sat Nov 02 2024
Sat Nov 02 2024
Qualitative insights in quantitative experiments: Balancing both worlds
The Statsig Team
Sat Nov 02 2024
Sat Nov 02 2024
Simpson’s Paradox Explained
The Statsig Team
Sat Nov 02 2024
Sat Nov 02 2024
In plain English: How data analytics fuels product growth
The Statsig Team
Sat Nov 02 2024
Sat Nov 02 2024
Keeping your team in sync with Microsoft Teams and Statsig
The Statsig Team
Fri Nov 01 2024
Fri Nov 01 2024
multi-armed bandits: when A/B testing isn’t enough
The Statsig Team
Fri Nov 01 2024
Fri Nov 01 2024
Troubleshooting API gateway errors (502 & beyond)
The Statsig Team
Fri Nov 01 2024
Fri Nov 01 2024
Funnel segmentation 101
The Statsig Team
Thu Oct 31 2024
Thu Oct 31 2024
Crafting a memorable user journey: Stages, touchpoints, and goals
The Statsig Team
Wed Oct 30 2024
Wed Oct 30 2024
Bridging the gap: Using qualitative insights to interpret quantitative results
The Statsig Team
Wed Oct 30 2024
Wed Oct 30 2024
Understanding statistical power in A/B testing
The Statsig Team
Wed Oct 30 2024
Wed Oct 30 2024
Beyond CTR: Other KPIs to measure real product engagement
The Statsig Team
Sun Oct 27 2024
Sun Oct 27 2024
How to scale your analytics from basic dashboards to real insights
The Statsig Team
Sun Oct 27 2024
Sun Oct 27 2024
The role of user interviews in hypothesis generation
The Statsig Team
Sun Oct 27 2024
Sun Oct 27 2024
Optimizing user flows: Minimizing friction throughout the journey
The Statsig Team
Sun Oct 27 2024
Sun Oct 27 2024
Common pitfalls in feature engineering
The Statsig Team
Fri Oct 25 2024
Fri Oct 25 2024
T-test vs z-test: Which should you use for online experiments?
The Statsig Team
Fri Oct 25 2024
Fri Oct 25 2024
What is power in statistics?
The Statsig Team
Fri Oct 25 2024
Fri Oct 25 2024
Extract, transform, load: The essential guide
The Statsig Team
Fri Oct 25 2024
Fri Oct 25 2024
Using cohort analysis to identify and fix retention problems
The Statsig Team
Thu Oct 24 2024
Thu Oct 24 2024
How to build a data-driven product growth strategy
The Statsig Team
Thu Oct 24 2024
Thu Oct 24 2024
Automating deployments to staging with CI/CD
The Statsig Team
Thu Oct 24 2024
Thu Oct 24 2024
How to optimize the user funnel
The Statsig Team
Thu Oct 24 2024
Thu Oct 24 2024
Multi-variant funnel testing
The Statsig Team
Wed Oct 23 2024
Wed Oct 23 2024
How to communicate experiment results to stakeholders using KPIs
The Statsig Team
Wed Oct 23 2024
Wed Oct 23 2024
Types of validity in statistics explained
The Statsig Team
Tue Oct 22 2024
Tue Oct 22 2024
Enhancing experiment flexibility with Webhooks and Statsig
The Statsig Team
Tue Oct 22 2024
Tue Oct 22 2024
CTR calculations made easy: A quick guide for product marketers
The Statsig Team
Tue Oct 22 2024
Tue Oct 22 2024
Improving code transparency with GitHub and Statsig
The Statsig Team
Mon Oct 21 2024
Mon Oct 21 2024
How to handle outliers before running a t test
The Statsig Team
Sun Oct 20 2024
Sun Oct 20 2024
Securing your containerized applications
The Statsig Team
Sat Oct 19 2024
Sat Oct 19 2024
How to scale feature engineering for big data
The Statsig Team
Sat Oct 19 2024
Sat Oct 19 2024
feature flagging in A/B testing: a practical guide
The Statsig Team
Sat Oct 19 2024
Sat Oct 19 2024
Credible intervals vs confidence intervals: A Bayesian twist
The Statsig Team
Thu Oct 17 2024
Thu Oct 17 2024
Firebase and Dynamic Yield compared
The Statsig Team
Wed Oct 16 2024
Wed Oct 16 2024
CTR made simple: Understanding click-through rates for beginners
The Statsig Team
Wed Oct 16 2024
Wed Oct 16 2024
Unbounce and Flagsmith compared
The Statsig Team
Wed Oct 16 2024
Wed Oct 16 2024
Eppo and Justuno compared
The Statsig Team
Wed Oct 16 2024
Wed Oct 16 2024
Best practices for scaling Apache Kafka
The Statsig Team
Tue Oct 15 2024
Tue Oct 15 2024
AB Tasty and Flagsmith compared
The Statsig Team
Tue Oct 15 2024
Tue Oct 15 2024
From data to decisions: How to communicate findings to non-technical teams
The Statsig Team
Mon Oct 14 2024
Mon Oct 14 2024
Eppo and Amplitude compared
The Statsig Team
Sun Oct 13 2024
Sun Oct 13 2024
Unbounce and Dynamic Yield compared
The Statsig Team
Sun Oct 13 2024
Sun Oct 13 2024
The evolution of CI/CD pipelines in high-traffic applications
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
The future of containerization: Beyond Docker
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
Container orchestration beyond Kubernetes
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
VWO and Justuno compared
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
Power and sample size: tools for experiment precision
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
Optimizely and Firebase compared
The Statsig Team
Sat Oct 12 2024
Sat Oct 12 2024
ETL pipeline best practices for data engineers
The Statsig Team
Wed Oct 09 2024
Wed Oct 09 2024
Leading vs. lagging indicators: Experimenting to find the best predictors
The Statsig Team
Wed Oct 09 2024
Wed Oct 09 2024
Split and LaunchDarkly compared
The Statsig Team
Tue Oct 08 2024
Tue Oct 08 2024
High correlation vs high impact in product tests
The Statsig Team
Tue Oct 08 2024
Tue Oct 08 2024
PostHog and Taplytics compared
The Statsig Team
Tue Oct 08 2024
Tue Oct 08 2024
Breaking it down: Data analytics explained for non-technical teams
The Statsig Team
Tue Oct 08 2024
Tue Oct 08 2024
The role of caching in high-performance web applications
The Statsig Team
Mon Oct 07 2024
Mon Oct 07 2024
Boosting web performance with Cloudflare and Statsig
The Statsig Team
Mon Oct 07 2024
Mon Oct 07 2024
Scaling APM for high-traffic applications
The Statsig Team
Mon Oct 07 2024
Mon Oct 07 2024
Pendo and Contentsquare compared
The Statsig Team
Sun Oct 06 2024
Sun Oct 06 2024
Why the best build with us
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering