Experiments

Publisher

Google Cloud

URL

https://cloud.google.com/dialogflow/cx/docs/concept/experiments

Published

2026-09-24

Updated

unknown

Accessed

2026-09-30

HTTP status

200

License

Google Cloud documentation; site terms apply; no-redistribution; short excerpts and locators only

Source notes citing this source

• Dialogflow CX experiments support automatic rollout that raises a variant's traffic in defined steps under rollout rules and halts on configured stop conditions, and automatic rollout supports only one variant flow. in context
• In Dialogflow CX experiments the Contained metric is the count of sessions that reached END_SESSION without triggering live agent handoff, callback or abandonment, and it is available only to agents using a telephony integration. in context
• Dialogflow CX experiment metrics also include live agent handoff rate, callback rate, abandoned rate, session end rate, total no-match count, total turn count and average turn count, with callback and abandoned rates limited to telephony integrations. in context
• Running a Dialogflow CX experiment requires the agent's Enable conversation history setting to be on, and a flow can have only one experiment running at a time. in context
• Dialogflow CX experiments compare one or more flow versions (variants) against a control version while serving live traffic, with a chosen share of traffic allocated to each version. in context
• The vendor success measures read for this packet are not interchangeable: Dialogflow CX 'Contained' counts sessions ending without handoff, callback or abandonment; Lex V2 conversation 'Success' depends on the final intent being fulfilled; and the Webex Virtual Agent V2 'Handled' outcome fires when virtual agent execution completes; so a containment figure cannot be compared across platforms, or with a legacy DTMF IVR, without restating the definition. inferred in context
• The vendor tooling read for this packet supports a staged cutover pattern of baseline test set, immutable version, partial live-traffic experiment against a control, then stepped rollout with stop conditions, but none of these sources prescribes a sequence for migrating a DTMF IVR to conversational AI. inferred in context

Cite this source record

APA

WarmTransfer. (2026, September 24). Experiments. WarmTransfer. https://warmtransfer.net/knowledge/sources/google-dfcx-experiments

BibTeX

@misc{warmtransfer-google-dfcx-experiments,
  title  = {Experiments},
  author = {{WarmTransfer}},
  year   = {2026},
  url    = {https://warmtransfer.net/knowledge/sources/google-dfcx-experiments},
  note   = {Google Cloud, accessed 2026-09-30}
}