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Amplitude AI

Amplitude AI

Ask your product analytics questions in plain English

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Data

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2 days ago

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Amplitude AI is the natural language layer built into Amplitude's product analytics platform, letting anyone type a question like "why did signups drop last week" and get back a chart, funnel, or retention curve instead of having to build a query by hand. The core piece is Ask Amplitude, which uses LLMs alongside Amplitude's existing schema and event taxonomy to translate plain English into the JSON query definitions its analytics engine runs on, so the answers are grounded in the same event data teams already track rather than a generic chatbot guess. It can also search existing charts and dashboards, answer how-to questions about using Amplitude, and navigate you to the right part of the product.

It's aimed at product managers, marketers, and other non-technical stakeholders who need answers from user behavior data but don't want to learn Amplitude's query builder or wait on a data analyst. Typical uses are spotting where users drop off in an onboarding flow, checking which cohorts are retaining better after a feature launch, or flagging accounts showing early churn signals, all without writing a query. Amplitude has also layered in AI agents that go a step further and run standard analyses like funnel breakdowns or retention curves on their own from a prompt.

What sets it apart from a general-purpose AI assistant bolted onto a dashboard is that it's tied directly into Amplitude's own data model and taxonomy, since Amplitude already has one of the more established event-tracking and cohort systems in product analytics. That grounding is meant to keep the answers specific to a company's actual product events rather than producing plausible-sounding but ungrounded output, which is the main risk with natural-language analytics tools layered over messy data.

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