The complete schema flexibility of HoneyHive allows you to run online experiments on any part of your system and analyze the results in HoneyHive. You can do this by filtering data for your specific feature flag and segmenting your data by config properties like version to analyze how different prompt or model versions perform.

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How to run online experiments

Preqrequisites: Expected Time: 5-10 minutes
1

Set a metadata field to track the online experiment

Set a metadata field to track the experiment ID.Feel free to use the experiment_id from any pre-existing experimentation tool you are using (eg: Statsig or Launchdarkly).
HoneyHiveTracer.set_metadata({
  "prompt-experiment-id": 12345,
})
2

Configure user feedback on the trace

Configure user feedback on the trace to track the experiment results.
HoneyHiveTracer.set_feedback({
  "liked": True,
})
3

Analyze the results

Analyze the results of the experiment using the HoneyHive dashboard.You can
  • Pick the Session or Event view depending on the level of granularity you need.
  • Filter by the prompt-experiment-id metadata field to only look at the data from the experiment.
  • Chart the liked field with whichever aggregation function you are interested in measuring
  • Group by the config.version field to see the results across your control and treatment groups.

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Learn more

Grouping charts by metadata

Learn how to group charts by metadata in HoneyHive