Automated Daily Product Analytics Report

Zero queries your production database on a schedule, analyzes user behavior trends, and posts a structured report to Slack before you open a dashboard.

Zero connects:

What Zero delivers

Automated Daily Product Analytics Report — sample output from Zero — screenshot 1

What the problem is

Wednesday, 10 AM. A power user just churned and you had no idea. Their usage dropped 80% over the past week, but nobody was watching the right metric. You could write a SQL query, but you'd need to remember the schema, join six tables, export the result, and format a report. Or you could let Zero run the same analysis every morning and flag the anomaly before the user even leaves.

How Zero fixes it

Step 1: Connect your tools

vm0

Required

vm0 - provides secure read-only access to your production database. Zero connects via your existing credential vault, runs SELECT queries only, and never exposes raw user data.

Connect

Slack

Required

Slack - delivers the structured analysis report to your team channel. Required if you want automated delivery instead of reading results inline.

Connect

Step 2: Ask Zero

@Zero connect to the production database and analyze external user behavior over the past 24 hours. Report on: total runs by org, top users by activity, trigger source breakdown (web vs CLI vs schedule), any anomalies or spikes. Post the summary to #user-insights.

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Zero connects to your production database

Zero securely connects to your read-only database using your existing credential management. It never writes to production - only runs SELECT queries against analytics tables.

Zero runs analysis queries and detects patterns

Zero executes a series of queries: total runs by organization, trigger source breakdown (web, CLI, scheduled), connector usage patterns, and anomaly detection - comparing current metrics against trailing averages to flag anything unusual.

Zero posts a structured report to Slack

The analysis lands in your analytics channel with clear tables, ranked lists, and flagged items. Power users, churn risks, and adoption patterns are called out explicitly - not buried in a spreadsheet you'll never open.

Step 3: Take it further

Dig deeper into a flagged user

Follow up on a user that Zero flagged as worth watching.

@Zero pull the full run history for org 8767e... - what prompts are they running?

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Export the data for a weekly review

Build on the daily analysis for a weekly or monthly rollup.

@Zero create a weekly summary from the past 7 days of user analysis reports and post it to #product

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Make it routine

Schedule this analysis to run every morning before standup.

@Zero every day at 7am, run the external user analysis and post to #user-insights

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Tips for better results

●Define your key metrics upfront - tell Zero which numbers matter (DAU, runs per org, connector adoption) so it knows what to flag versus what to summarize.

●Always de-identify user data in reports. Zero can hash org IDs and redact emails by default - just tell it to.

●Schedule this alongside your morning brief for a complete picture: system health from the brief, user health from the analysis.