πŸ“Š Storytelling with Experiments

Statsig Product Updates
< All updates
12/10/2024

Vineeth Madhusudanan

Product Manager, Statsig

Storytelling with Experiments

Good experimenters who bring others along, are often good storytellers. We've heard from many of our customers that they want to offer a narrative arc with experiments that includes the ability to set up context, dive into conflict and offer resolution - a narrative layer around our out-of-the-box Scorecards.

Today we are adding the ability to include live, interactive widgets in Experiment Summary that allow experimenters to craft this narrative for their audience.

A few examples of how customers are using this:

  • Embedding the results of a Custom Explore Query to add context from relevant deep dives (e.g. analyzing the experiment time period while removing outliers like Black Friday, or specific days that had data blips)

  • Adding rich charts such as the conversion funnel being experimented on to contextualize experiment Scorecards

  • Breaking out metrics to match the mental model for good AI experimenters, for example:

    • Direct model measurement : latency, tokens produced, cost

    • Direct user feedback : explicit - thumbs up/thumbs down, implicit - dwell time, regeneration requested

    • Longer-term effects : user activity level over the next week, retention, subscriptions

The original experiment Scorecard is still available as part of Experiment Summary.

Our eventual goal is to have all the context around an experiment - including experiment design, critique, q&a and readouts- centralized in one place. This is the first step toward that.

This feature is rolling out gradually. To embed rich charts in your Experiment Summary, go to the "Summary" tab in your experiment, tap into "Experiment Notes" and select the "+ Add Charts" CTA on the right. Happy storytelling!

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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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
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