Make product decisions
with data, not meetings.
You have product instincts and some technical skills. But pulling data still means waiting for analytics. With Caret, explore data yourself — validate hypotheses instantly, build specs with working examples.
No SQL required · Answers in minutes · Data-driven PRDs
The PM data struggle is real
You shouldn't need to file a ticket for basic product questions.
Data requests go into a black hole
You file a ticket for usage data. It goes into the sprint backlog. Three weeks later, the decision already got made.
Dashboards never have what you need
Analytics built the metrics dashboard. But your specific question isn't on it. Back to filing tickets.
SQL isn't your superpower
You can read SQL, maybe write basic queries. But joins? Window functions? That's a half-day adventure.
Gut feel wins too often
When data is hard to get, decisions get made on intuition. Sometimes that's fine. Often it's not.
From question to insight in 3 steps
Ask your question
Write it like you'd say it. No SQL syntax. “How many users upgraded last month?”
Get instant answers
Visual results formatted for understanding. Not raw SQL output. Ready to screenshot.
Dig deeper
Every answer raises questions. Ask follow-ups: “Break that down by plan type”
Feature Adoption Analysis: Dashboard Feature: 23% adoption • Enabled: 2,340 users • Total eligible: 10,200 users
Adoption by Plan: Enterprise: 45% (highest!) Pro: 28% Free: 15% Enterprise users 3x more likely to adopt.
Retention Analysis: Users with feature: 78% 30-day retention Users without feature: 63% 30-day retention +15% retention lift (statistically significant)
Questions PMs ask Caret
Real questions that get instant answers.
Built for product thinking
Tools that help you validate ideas and make decisions.
Natural Language Queries
Ask in plain English. Caret generates the SQL. You don't need to know table schemas or join syntax.
Instant Visualization
Results render as clean charts and tables. Funnel charts, cohort tables, trend lines — ready for your PRD.
Hypothesis Testing
Think users prefer feature A? Test it in 30 seconds. Build conviction with data before committing engineering time.
Living PRDs
Write specs in Caret with embedded analysis. Data and context together. Always up-to-date.
Share with Stakeholders
One link, full context. Eng, design, and leadership see your questions, data, and conclusions together.
Repeatable Analysis
Monthly metrics review? Create once, update the date range, re-run. No rebuild required.
How PMs use Caret
Feature Discovery
“How many users requested this?” “What's their revenue?” “Usage for similar features?”
Launch Analysis
“Adoption rate since launch?” “Compare to similar features?” “Correlation with retention?”
User Research Prep
“Find users who tried feature X but stopped” “Filter to last 90 days” “Export for outreach”
Quarterly Planning
“Features with declining usage?” “Where are users dropping off?” “Which segment has lowest NPS?”
PMs who make faster decisions
I used to schedule calls with analytics for simple questions. Now I get answers while drinking my coffee.
My PRDs used to say 'we believe users want X.' Now they say 'data shows 40% of users request X.' Engineering takes me seriously.
Quarterly planning went from 'opinions loudly stated' to 'here's what the data says.' We finally decide like a data company.
Stop guessing. Start knowing.
Join PMs who make every product decision with data.
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