Activation
Measure how many users reach first value and where others drop off.
Scenario · Product usage
Talk to your product data.
Ask a question in plain English. Onny explores your Supabase schema, writes and runs the required SQL, then turns the results into a clear conclusion about activation, usage, and retention.
Question asked to Onny
- QuestionWhere do we lose the most users during onboarding?Onny turns the objective into measurable indicators.
- SQLTables and events identifiedThe query connects signups, completed steps, and first value.
- AnalysisMain drop-off after importThe exit rate is compared with previous cohorts.
- ConclusionA product priority emergesSimplify import before adding another step.
Sourced answer · SQL query, results, and recommendation available
What Onny can analyze
Turn database rows into a product decision
Retention and cohorts
Compare user return rates by signup date, plan, or first behavior.
Feature adoption
Find features that are used, growing, or consistently ignored.
Accounts at risk
Surface accounts whose activity slows or stops before they cancel.
User journeys
Reconstruct action sequences to understand how customers move through the product.
Product anomalies
Find unusual changes after a release, campaign, or onboarding update.
From question to answer
You do not need to know SQL
Ask the question
Describe the behavior or decision in your own words.
Onny understands the schema
It finds relevant tables, columns, and relationships.
The query runs
Read SQL runs directly; changes follow the required approval flow.
Receive the analysis
Onny explains results, limitations, and the likely product priority.
Questions to ask your data
- What percentage creates a first project within 24 hours?
- Where do most users leave onboarding?
- Compare seven-day retention across the last three cohorts.
- Which features distinguish active from inactive accounts?
- Find workspaces whose activity declined for four weeks.
- Every Monday, summarize meaningful product usage changes.
Add context around the data
Supabase is enough to analyze product usage. Add Stripe, Linear, or X to connect behavior with revenue, turn findings into issues, and compare observed usage with public conversations.
Data access
Analysis remains separate from modification.
Read queries use a dedicated PostgreSQL role that cannot write. Any command that may change data or schema is presented separately and requires approval according to its impact.
- Dedicated read-only SQL role
- Supabase project always identified explicitly
- Bounded results interpreted by Onny
- Approval before writes and migrations
Frequently asked questions
Must I know SQL?
No. Ask in plain language and Onny builds the query from the actual schema.
Can Onny run the query?
Yes. Read queries run directly within the authorized scope.
Can it change data?
Yes when permissions allow it, but write commands are proposed and confirmed first.
Is Supabase enough?
Yes. Other integrations add context but are not required.
Can I schedule analysis?
Yes, a product question can become a recurring report comparing previous periods.
Stop waiting for another product dashboard
Connect Supabase and ask the question blocking your next decision. Onny handles schema, SQL, and analysis.