Checklist

Experimentation Infrastructure & Tooling Checklist

Interactive checklist to evaluate and set up the minimal infrastructure for reliable experimentation: feature flags, telemetry, assignment, statistical tooling, registry, access controls, data pipelines, and governance. Captures owners, compliance status, evidence, and next steps to create a living improvement record.

Interactive Tool

Experimentation Infrastructure & Tooling Checklist

This checklist helps teams evaluate and establish the minimum infrastructure required to run reliable, repeatable, and safe experiments. For each item indicate whether it is in place, who owns it, compliance status, and any evidence or notes. Use the saved responses to build a living experiment registry, track improvements across teams, and reduce noisy or invalid results.

Are feature flags available and covering the features and user segments you need for experiments?
Team or role owning the feature-flag platform (e.g., Platform Eng, Experimentation Team).
Does coverage meet experiment needs?
Examples: links to flag catalog, gaps, flag lifecycle docs.
Is there a documented event schema and naming conventions used by products and analytics?
Team or role that maintains telemetry/event schema (e.g., Analytics, Data Platform).
Is telemetry consistent, documented, and available for experiment analysis?
Examples: schema docs, example events, dashboards, data warehouse tables.
Are assignments deterministic, auditable, and independent of user behavior or rollout processes?
Who maintains assignment logic or service?
Is the assignment method robust for unbiased experiments?
Include hashing methods, seed policies, bucket allocations, or links to assignment service docs.
Are there accessible tools or guidelines for power analysis, stopping rules, and pre-registration?
Statistical SMEs or data-science support team.
Are power calculations and stopping rules routinely used?
Links to calculators, templates, or past experiment power analyses.
Is there a central catalog of planned, running, and completed experiments with IDs and owners?
Who coordinates and curates the experiment registry?
Is the registry actively used and kept up to date?
Include links to registry entries, experiment IDs, and summaries.
Are access, approval, rollback and emergency procedures defined for flags and experiment rollouts?
Owner of access and approval processes (e.g., Security, Product Ops).
Are controls sufficient for safety, privacy and rapid rollback?
Links to runbooks, approval flows, and rollback playbooks.
Can analysts reliably reproduce experiment datasets and exports for verification?
Team owning data pipelines or ETL for experiments.
Are experiment datasets reproducible and accessible?
Include example queries, dataset docs, and where to find raw and aggregated tables.
Is there a cadence for audits, privacy checks, and governance reviews of experimentation?
Who chairs governance reviews or audit cycles?
Are governance reviews happening and tracked?
Include last review date, actions taken, and policy links.
Quick subjective rating of how ready the environment is for safe, repeatable experiments.
1.0 10.0
List the top actions to move toward compliance or higher maturity (3 items max).
Name or role of the person completing this checklist.
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