Dashboards tell you what happened. The harder question is why: why revenue dipped in March, why one region outperformed, why churn went up. Answering that means breaking a change down into its drivers, which is exactly the kind of tedious slicing AI is good at.
Plumb is a privacy-first data platform. We think AI should do the tedious parts of analysis, like reading every row, spotting patterns and drafting charts, while you keep control of the questions and the conclusions. Every answer Plumb gives points back to the rows and columns it came from, so you can check the work instead of taking it on faith.
How Plumb helps: Plain-English explanations
Plumb explains changes in your metrics in plain English. Ask 'why did revenue drop last month?' and it breaks the change down by product, region, channel and customer segment, ranks the biggest contributors, and shows the numbers behind each one.
How It Works
How Plumb explains a change.
- You ask about a metric and a period, for example revenue in March vs February.
- Plumb computes the total change.
- It splits the change across each dimension in your data (product, region, channel and so on).
- It ranks the biggest contributors and checks for mix effects, such as fewer orders vs smaller orders.
- It writes a short explanation with a chart and links to the underlying rows.
Where This Helps
Revenue reviews
Explain month-over-month changes to leadership in one paragraph.
Cost control
Find which categories are driving spend up.
Customer health
Understand which segments are behind a rise in churn.
Try Plumb in early access
Plumb is in early access. Join the waitlist on tryplumb.pro to get an invite. Early access covers Excel (.xlsx), CSV and JSON files, and we are adding more sources as people ask for them. Your files are processed privately and are never used to train models.
Know why, not just what
Now you have a repeatable way to do it, by hand or with Plumb. Join the waitlist and tell us what your data looks like; we read every reply.
Join the waitlist