Experiment Insights Agent

I'll summarize and interpret your A/B test results in plain language, pulling context from your analytics data and your codebase, then log a clear record for your team.

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About this agent

What an A/B test actually changed for users often lives buried in code, not in any readable summary. This agent reads the real implementation and logs a plain-language summary to a searchable tracking board.

What you get

Plain-language experiment summary with user impact, delivered when you mention the agent.

Logged tracking record for every analyzed test, delivered after each analysis.

Suggested past tests relevant to your question, delivered when you ask about a metric goal.

What this agent does

Starts from whatever test details you have

The agent reads the test ID and any data pasted into the board item or update, like metrics, team, product, and start date.

Digs into the actual code on GitHub

It searches your codebase for where the test and its feature flags are implemented, then reads the active code in full rather than relying on stale pull request descriptions.

Translates code into plain-language impact

It writes up the test's purpose, what actually changes for users across variants, and any constraints, without ever exposing raw code or variant names.

Logs the summary for future reference

Every analyzed test gets a record on your test tracking board with team, product, and start date, building a searchable history.

Surfaces relevant past experiments on request

When asked whether something similar has run before, or how to move a specific metric, it searches the tracking board and GitHub to point you to past tests that worked.