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Warehouse ingestion tab makeover
Dec 2025
- 🕵️ AI Knowledge Bank Search [Beta]
- 🚀 AI-Powered Experiment Summary
- 🧹 AI Stale Gate Cleanup
- ⭐ Github AI Integration
- ✏️ Contextual AI Descriptions
- 📊 Session Analytics on Warehouse Native
- 🧩 Segment Filters on Dashboards
- 🔎 Global Filters in Funnels
- 🧭 Warehouse Explorer
- 🔐 OAuth Support for Statsig MCP Server
- 🕵 Traces Explorer
Nov 2025
Oct 2025
- 🪵 Console Logs in Session Replay + Activity Pane Revamp
- 🧮 Sum Property Values at Funnel Conversion
- ⏰ Schedule Experiment Start
- 💪 Power Analysis Enhancements
- 🔎 Warehouse Events
- 🚪Feature Gate Exposures in Metrics Explorer
- 👨⚕️ Docs v2
- 📈 Autocapture Updates
- 📝 Statsig Visual Editor
- 💰 Rich Text Widgets on Dashboards
Sep 2025
- 📈 Change Alerts
- 🧪 Exposure Imbalance / Sample Ratio Mismatch (SRM) Debugging in Metrics Explorer
- ✍️ Custom Chart Annotations in Drilldown
- 🔍 Conversion Drivers in Funnels on WHN
- 🚢 Custom Experiment Decision Framework
- ✅ Personal Console API Key
- 🎶 API Endpoints for archiving and unarchiving Dynamic Configs
- 🧪 Sampling Across All Charts
Aug 2025
Jul 2025
Jun 2025
- 🔄 Automatic Dashboard Refreshes
- 🎯 Conditional Recording Triggers for Session Replay
- 🧪 Experiment Exposure Events Metrics Explorer
- 👁️🗨️ Chart Annotations
- 📉 Fieller Interval
- 🕵️♂️ Log Explorer
- 🧙🏻♂️ AI Onboarding Wizard
- 📊 Data Table View in Metric Drilldown
- 🛫 Pulumi Statsig Provider
- 🌩️ Statsig MCP Server
- 🪨 Geotest Experiments
- 📸 Results Snapshot
May 2025
- 📈 Delta Comparison View for Time Series
- 🧑🏼🏭 Braze Integration
- 🧮 Unique Values Aggregation
- 🚢 Experiment Decision Framework
- 📝 Setup Page's New Layout
- 🗂️ Multiple Group-Bys in Funnels
- 📐 Format Y-Axis Units in Time Series Charts
- 📋 Copy Experiment Metrics
- 📊 Experiment Histograms
- 🕒 Compute Scheduling
- 🖥️ Warehouse & Compute Mappings
Apr 2025
- 🚨 Topline Alerts Enhancements
- 🔮 Surrogate Metrics
- 📊 Compare more Groups in Funnels
- 🧭 User Journeys on Warehouse Native
- ✋ Holdout Analysis in Product Analytics
- 🎯 Cohort Filters on Dashboards
- 🍩 Donut Chart & World Map 🌍
- 📊 New Aggregation: Count per User
- ⚙️ New Chart Options in Metrics Explorer
- 💉 CURE (CUPED vNext)
- 📜 Helm Charts for Forward Proxy
Mar 2025
Feb 2025
Jan 2025
- 📊 Distribution Charts++
- 👤 User Profiles
- ⚙️ Custom Metrics in Funnels
- 🐍 Python Server Core
- 🕵Differential Impact Detection
- 💾 Results in your Warehouse
- ☕️ Java Server Core
- ⚔️ Interaction Detection
- ⚙️ Improved Console Settings
- Slicing by frequently used user properties
- Debug Data Ingestion Errors
- 👥 Filtering by User Dimensions in Custom Metrics
Dec 2024
Nov 2024
Oct 2024
- 📋 Dynamic Configs Now Have Templates!
- 🎉 SCIM User Provisioning
- ⏱️WHN Compute Transparency
- 🥇 First-Value metrics
- ⚡Inline Power Analysis
- 🔍 Focused Analysis with Top Group Limits
- 🪵🪄 Log transforms
- ⌚💰📊 Latest value metrics
- 🧲 Group-by in Retention Analysis
- 👯 Cohort analysis in all charts types
- 🪜Funnels Now Support Up to 15 Steps
- ⏱️ 2x Funnel Performance Improvements
- 🔗 Improved Segment Integration
- 📊 Cohort Analysis in Funnels
- 💥 Cross-Environment Feature Gates View
- 🚫 Metrics Update: Deprecating event_dau metric
Sep 2024
Aug 2024
- 🎛️ Dashboard Filters
- 🧠 Experiment Knowledge Base
- 🎓 Meta Analysis : August Release
- ✨🛤️✨User Journeys Overhaul
- 📧 Dashboard PDF Export
- 📅 Expanded Chart Granularities and MAU support
- 🚀❤️📊 Statsig <3 Funnels
- 🧲 Retention Overhaul
- 🕒 Session Analytics Private Beta
- 📋 Custom Experiment Checklist
- 📈 WHN Product Analytics
- 🤳 Parameter Stores
- 🤖 Bot Filtering
Jul 2024
- 📊 Benjamini-Hochberg
- 🔗 Combine Events in Funnel Steps
- 🌊 Session Streams
- 🔍 First-Time Filters in Funnels
- ⌨️ Keyboard Navigation
- 📊 Outlier Detection
- 💾 Reusable Cohorts
- 🕵 Differential Impact Detection
- 🧢 Capped Metrics (WHN)
- 💄 New look and feel on Statsig
- 👩💻 Statsig Managed API Proxy
- 🏠 New Home Experience
- 🧮 Improved Formula Support
- 🙋♀️ User Management v2
- 🎓 Meta Analysis : July release
Jun 2024
4/4/2023
Permalink ›
Warehouse ingestion tab makeover
We gave our Warehouse Ingestion tab a total makeover so that you can have better visibility into your import status! Some key improvements include:
A simple visual display to track your import progress, with an extended date range
Verify your imported data with ease and confidence using our import volume chart and data samples
Take actions more easily and stay in control of your imports (use the “…” menu), whether you want to trigger a backfill or edit your daily ingestion schedule
Loved by customers at every stage of growth
See what our users have to say about building with Statsig
"Statsig's experimentation capabilities stand apart from other platforms we've evaluated. The ease of use, simplicity of integration help us efficiently get insight from every experiment we run. Statsig's infrastructure and experimentation workflows have also been crucial in helping us scale to hundreds of experiments across hundreds of millions of users."
Paul Ellwood
Head of Data Engineering
"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."
Don Browning
SVP, Data & Platform Engineering
"Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate."
Rami Khalaf
Product Engineering Manager
"Statsig has enabled us to quickly understand the impact of the features we ship."
Shannon Priem
Lead PM
"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."
Partha Sarathi
Director of Engineering
"Working with the Statsig team feels like we're working with a team within our own company."
Jeff To
Engineering Manager
"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"Statsig has been an amazing collaborator as we've scaled. Our product and engineering team have worked on everything from advanced release management to custom workflows to new experimentation features. The Statsig team is fast and incredibly focused on customer needs - mirroring OpenAI so much that they feel like an extension of our team."
Chris Beaumont
Data Scientist
"The ability to easily slice test results by different dimensions has enabled Product Managers to self-serve and uncover valuable insights."
Preethi Ramani
Chief Product Officer
"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
Team Lead - Experimentation
"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
"We've processed over a billion events in the past year and gained amazing insights about our users using Statsig's analytics."
Ahmed Muneeb
Co-founder & CTO
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
Director of Product
"Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team."
David Sepulveda
Head of Data
"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."
Karandeep Anand
President
"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."
Partha Sarathi
Director of Engineering
"Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation."
Joel Witten
Head of Data
"We realized that Statsig was investing in the right areas that will benefit us in the long-term."
Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
"Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis."
Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
CTO
"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
Co-founder & CTO
"We finally had a tool we could rely on, and which enabled us to gather data intelligently."
Michael Koch
Engineering Manager
"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."
Mengying Li
Data Science Manager
"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."
Dave Cummings
Engineering Manager, ChatGPT
"Statsig has helped accelerate the speed at which we release new features. It enables us to launch new features quickly & turn every release into an A/B test."
Andy Glover
Engineer
"We knew upon seeing Statsig's user interface that it was something a lot of teams could use."
Laura Spencer
Chief of Staff
"The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases."
Evelina Achilli
Product Growth Manager
"Statsig is my most recommended product for PMs."
Erez Naveh
VP of Product
"Statsig helps us identify where we can have the most impact and quickly iterate on those areas."
John Lahr
Growth Product Manager
"With Warehouse Native, we add things on the fly, so if you mess up something during set up, there aren't any consequences."
Jared Bauman
Engineering Manager - Core ML
"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
"I appreciate how easy it is to set up experiments and have all our business metrics in one place."
Paulo Mann
Senior Product Manager