How Othor's Chat with Data lets users ask natural-language questions across connected sources and get grounded answers linked to the underlying metrics.

Conversational analytics

Ask Othor a question — "Which products had the biggest revenue growth last quarter?" — and receive a concise answer with supporting links and charts. This feature appears in the product tour on inner pages and is an important part of adoption for non-technical stakeholders.

How it stays accurate

To avoid hallucinations, answers link to the exact metric definition, the SQL used, and the underlying time window. If a question needs more context, Othor asks clarifying questions rather than guessing.

Example query flow

  1. User: "Which cohorts had rising churn this month?"
  2. Othor: replies with top 3 cohorts and a recommended drilldown.
  3. Click: Analyst views the query and exports the data for further analysis.

Test coverage goal

This post verifies long-form content, Figures, accessibility (alt text), and that component mapping in MDX produces the expected layout.