Solutions
Paradime for Product Teams
Product analytics on modeled, tested data. You define funnels and retention once in dbt™. Build an agent to post a weekly digest of metrics to Slack. Connect the MCP and get answers to product questions from Claude, ChatGPT, or Cursor.
#product-analytics
Maya@Paradime can we see activation by plan?
- Filed PROD-482 in
Linear
- Built mart_activation with 4 tests
- Added it to Monday's metrics pulse
Use Cases
What product teams get from Paradime
Reliable product metrics without a request queue.
Monitor
A weekly metrics pulse in Slack
A scheduled agent queries your marts and compares the last complete week with the one before. It posts a digest: what moved, what stayed stable, and any caveats about the numbers.
Ask
Answer product questions in Claude, ChatGPT, or Cursor
The Paradime MCP server brings the catalog, lineage, and warehouse to any MCP client with your own role and permissions. Business and read-only seats are free.
Request
Send data request from Slack or MS Teams
DM the Paradime bot in plain language. An intake agent creates a well-formed Jira or Linear ticket with priority, labels, and acceptance criteria.
Model
Define retention metrics in code
Create activation, retention, and feature-adoption metrics as version-controlled dbt™ models. Use DinoAI to write them from your event schema.
Trust
Column-level lineage
Column-level lineage runs from Looker, Tableau, Power BI, Sigma, or Metabase back through every model to the raw event.
Activate
rETL product signals
After a successful run, trigger Census or Hightouch syncs in Bolt so product-qualified leads and usage flags reach the CRM.
Customers
Why product-led companies choose Paradime
Customer.io, PushPress, and Mr & Mrs Smith run their product analytics on Paradime.
“From the first call on, it was clear that if we chose Paradime we would get above and beyond help on the human side to succeed.”
Prompts
Ask DinoAI the product questions
DinoAI reads your code base, warehouse schema, run logs, and lineage before it acts. Run these in the Code IDE, from Slack, on a Bolt schedule, or from Claude or Cursor through the MCP server.
Schedule a metrics digest for the team
Build the agent in the Agent UI, then run it from a Bolt schedule every Monday at 8am. Three to five metrics is plenty to start.
Try it in ParadimeEvery Monday at 8am, compare activation rate, D7 retention, and feature adoption for the last complete week against the 8-week average. Post a short digest to #product-metrics with what moved, what stayed stable, and any caveats.
Roles
Built for everyone who works on the product
What each role gets out of Paradime and DinoAI.
One definition of activation, retention, and adoption
An agent posts a Monday digest of what changed
Ask a data question from Slack or Claude and get an answer with lineage
Answer a few questions in Slack to file a data request
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Enterprise security
SOC 2 Type II and GDPR. Single sign-on with Okta, Microsoft Entra ID, Google, and JumpCloud. IP allowlisting for the app, API, and CLI.
Deploy in your cloud
Run as managed SaaS, or deploy the Paradime data plane inside your own AWS, GCP, or Azure account with PrivateLink support.
Every agent action on the record
Agent session logs and traces are accessible. Paradime logs every run, change, and DinoAI action, and you can query them through the API. Store run artifacts in your own S3 bucket.
Agents propose, people approve
Agents ship changes as pull requests that run through CI like any other change. Admins manage warehouse access for DinoAI. Monthly credit budgets cap background agents per workspace, user, and agent.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.