Ask a question. Get the chart and the answer.
MetriQ is an AI metrics layer for the team that has 1 or 2 systems and no analyst on staff. Plug it into your data, ask in English, get a chart and an explanation.
What is MetriQ
A BI tool that talks back.
Dashboards show numbers. They do not explain them. MetriQ reads from your existing data and answers the question behind the chart — why margin dropped, which SKUs caused the stockout, which channel attribution shifted after the iOS update.
Ask in English
'Why did margin drop 4% on apparel last week?' MetriQ runs the diagnostic and shows the chart with the explanation.
Cited, never invented
Every answer cites the underlying query and rows. If MetriQ cannot answer with the data on hand, it says so. No hallucinations.
Sits on what you have
Snowflake, BigQuery, Postgres, Shopify, SAP, NetSuite, GA4 — direct connectors, no rip-and-replace.
Watches your KPIs
MetriQ pings Slack when something moves beyond expected variance — with the likely cause from prior patterns.
In the editor
Question in. Chart, answer, citation out.
Natural-language query bar at the top, the diagnostic chart in the middle, the cited answer with source rows on the right — and Slack pings when KPIs drift.
Metric library
What ships in MetriQ
Six layers of capability. Each one taps into the data sources you already run — no rip-and-replace, no warehouse rebuild.
Natural-language queries
'Why did conversion drop 8% in EU last week?' MetriQ pulls the segments, runs the diagnostic, returns the chart with the explanation.
Pre-built retail metrics
SKU velocity, stockout risk, return rate, channel attribution, basket affinity, full-funnel conversion. 60+ metrics ready on day 1.
Source-agnostic
Connects to warehouses, commerce, ERP, and ETL pipelines. Read-only by default. Use what you already have.
Anomaly detection
MetriQ watches your KPIs and pings Slack when something moves beyond expected variance. Includes the likely cause from prior patterns.
Custom metrics in SQL or English
Define a metric in plain English ('AOV for first-time buyers in California, last 30 days') or write the SQL. Both reusable across the org.
Cited answers, no hallucinations
Every answer cites the underlying query and rows. If MetriQ cannot answer with the data on hand, it says so. No invented numbers.
Integrations
Sits on top of what you have
Warehouses
Snowflake, BigQuery, Redshift, Databricks, Postgres. Read-only by default.
Commerce + ERP
Shopify, SAP, NetSuite, Magento — direct connectors with retail-aware schema mapping.
ETL pipelines
Plug into Airflow, dbt, Fivetran, Airbyte, or custom pipes — MetriQ reads the curated layer your team already trusts.
Slack + email digests
Daily, weekly, custom-trigger digests. Ask follow-up questions in thread.
Founding-partner program — 5 slots
Built by Destm — over a decade of retail data work, now packaged so SMB and mid-market teams get the same answers without an analyst on staff. Founding partners lock first-year pricing and shape the next vertical packs we ship.