Product analytics copilot
Ask your product data anything.
Mitzuo creates the query, runs it, and explains the result. Product managers without a data analyst get answers in minutes rather than days.
The challenge
One data question can leave your team waiting a week.
Product managers ask more than their data team can answer in time. Funnel checks for feature decisions, retention figures for sprint retros, and cohort splits for roadmap meetings all land in the queue.
The analyst works through it. A week later, the decision still relies on instinct because the meeting has already passed.
How it works
How Mitzuo works
Ask in plain language
Write what you want to know in everyday language. SQL knowledge is unnecessary. Mitzuo interprets product questions the way product teams ask them.
Mitzuo creates and runs the query
Your question becomes SQL or an API call. Mitzuo runs it on your connected data source and returns the result with the complete query visible.
See and share the answer
Review the answer, chart, and exact query. Save them to your library or send them to Slack. You can see precisely how the number was produced.
Features
For product teams that move quickly
Ask with natural language
Ask in plain English. Mitzuo identifies your intent, matches it to your schema, and creates the query without requiring SQL from you.
See the full query
Each answer includes the exact SQL or API call behind it. Inspect, copy, or change the query whenever you need.
Charts and tables
Results appear as a chart or table based on the question. Pick the format, then export to CSV or share a link.
Library of saved answers
Store an answer alongside its query. Create a shared reference for the team and stop answering the same question next sprint.
Send to Slack
Deliver any answer to a Slack channel, including the chart, summary, and query link, so your team can see the insight and its source.
Multiple data sources
Connect PostgreSQL, BigQuery, Snowflake, Mixpanel, Amplitude, and more. Mitzuo queries whichever source you select, wherever your data is stored.
Testimonials
Early teams share their experience
We once waited a full sprint for funnel data from our analyst. Now I ask Mitzuo before standup and get the answer before it ends. Seeing the query makes the number trustworthy.
I doubted a natural-language tool could answer cohort retention questions. Its SQL is clear enough for me to read and understand. That also gave our data team confidence in it.
On a good week, our analyst queue used to hold 11 tickets. Mitzuo takes care of about 7. The remaining work involves complex models, which is where the analyst's time belongs.
Pricing
Pricing that stays predictable
Begin free, then upgrade when your team needs additional queries or sources.
- 300 monthly queries
- 5 data sources maximum
- Saved answer library
- Slack integration
- Share with up to 5 seats
- Queries without limits
- Data sources without limits
- Seats without limits
- API access
- Priority support
From the blog
The Mitzuo blog
Why Product Teams Stay Stuck in the BI Backlog
Last quarter, a five-person product team raised 47 analytics questions. Its sole data analyst answered 11. The remaining 36 became parking-lot tickets, guesses about strategy, or questions left unasked.
What Makes a Good Product Question
Product teams rarely lack curiosity. What they lack is the right question structure. Learn to frame questions your data can answer.
How to Read Funnel Drop-off Without a Data Analyst
Funnel analysis is often seen as a three-day task for a data analyst. It need not be. A PM can learn to read drop-off directly.
Your first answer is one question away.
Connect a data source, ask your first question, and see the query behind the answer.