x-experimental-ops

name	x-experimental-ops
description	Use this skill when reasoning about how the algorithm is tuned, why different users see different behaviors, or how "Success" is defined by X's engineering team.
metadata	{"author":"elemontcapital"}

X Experimental Ops

Knowledge of X's A/B testing infrastructure (DuckDuckGoose) and the metrics used to measure algorithmic success.

Context

The algorithm is never "finished." It is a living system managed by DuckDuckGoose (DDG), X's internal experimentation platform. Every change to a weight or a filter is first tested on a small percentage of the user base.

• DuckDuckGoose (A/B Testing)
• Metrics & Alignment

What it does

• Explains Bucketing:
  • Details the mechanics of DuckDuckGoose, X's internal experimentation platform that uses salt-based consistent hashing to deterministically assign users to "Control" or "Treatment" variants.
  • Ensures "sticky" assignments so a user's experience remains consistent across sessions while maintaining statistically sound percentage-based rollouts (e.g., 1%, 5%, or 10% cohorts).
• Decodes Success Metrics:
  • Breaks down the "Unregretted User Minutes" (UUM) North Star metric, which prioritizes high-value time spent (replies, likes, and deep reads) over passive scrolling or "clickbait" interactions that lead to user regret.
  • Analyzes how experimental changes impact the Multi-Task Learning (MTL) "heads" to ensure a boost in one engagement signal (like Retweets) doesn't negatively correlate with platform health or retention.
• Analyzes Feature Flags:
  • Identifies how the system uses Dynamic Configuration and Feature Gates to toggle ranking logic or retrieval sources on and off for specific cohorts in real-time.
  • Explains the "Kill Switch" architecture that allows engineers to instantly roll back a new algorithmic feature if it causes a spike in latency or negative feedback without requiring a full code redeployment.

Example Trigger Prompts

• "/run-experiment salt-based hashing for user buckets"
• "/run-experiment Unregretted User Minutes vs dwell time"
• "Trace feature flag logic for latest Grok retrieval test"
• "Show holdout group parameters for current Heavy Ranker A/B"
• "Compare control vs variant metrics for feed engagement test"
• "Explain how a new signal is staged in an experiment pipeline"

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