AI Tool for Product Managers
An AI tool for product managers reads your usage, retention, and feature adoption exports and surfaces which cohorts churn fastest, which features correlate with long-term retention, and how this sprint's metrics compare to last. You ask in plain language; it skips the dashboard setup.
Find which features your retained users rely on and which cohorts are at risk — from a single upload.
Drop your file in and ask a question — no account needed.
Upload your spreadsheet.xlsx .xls .csv — free to try, no accountWhat this export contains
| User ID |
| Feature Name |
| Adoption Date |
| Session Count |
| Retention Day 30 (Y/N) |
| Churn Date |
| Plan Tier |
| Segment |
| Sprint Number |
| NPS Score |
What usually goes wrong with it
Feature adoption and retention live in separate exports
Usage data shows which features users activated, but retention data is in a separate cohort export. Cross-referencing them to see if Feature X users retain at higher rates requires a join most PMs outsource to data engineers.
DataMimi Datamimi cross-references feature adoption with retention data when both are in the upload and shows which features correlate with 30-day retention.
Cohort analysis requires a pivot table most product teams rebuild every sprint
Seeing retention by signup week requires grouping users into cohorts, calculating what % remained active after 7, 14, and 30 days, and rebuilding this table every sprint when new data comes in.
DataMimi It builds cohort retention tables by signup week or month without a pivot table, showing day-7, day-14, and day-30 retention rates.
Sprint-over-sprint metric comparisons are done manually in slide decks
Comparing DAU, activation rate, and churn from this sprint to last sprint means pulling numbers from two separate exports and populating a deck — a process that takes 30–60 minutes before the retrospective.
DataMimi It compares metrics across sprint numbers when a sprint column is present and shows which metrics improved or declined sprint over sprint.
Common questions
What does an AI tool for product managers actually do?
It reads your usage, retention, and feature adoption exports, cross-references them, and answers questions about which cohorts churn fastest, which features drive retention, and how this sprint compares to the last.
How much does Datamimi cost?
Datamimi has five plans: Free ($0/month, 40 credits, no credit card required), Lite ($9/month, 400 credits), Starter ($24/month, 1,500 credits, up to 3 simultaneous files), Pro ($59/month, 5,000 credits with rollover), and Team ($199/month, 20,000 credits, 5 users).
Can it help me prioritize which features to build next?
It can show you which features retained users rely on most and which segments have the highest churn — giving you the data to argue for retention-focused features over new ones in your roadmap review.
Does it work with exports from Mixpanel, Amplitude, or Heap?
Yes. Any CSV or Excel export with user IDs, event names, and dates works. Datamimi reads the column structure and maps it without configuration.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileWhat DataMimi costs
Every plan does everything — slides, written reports, cleaned exports, dashboards. They differ in how much work they cover.
Free
Free
40 credits a month
Starter
$24 /month
1,500 credits a month
Pro
$59 /month
5,000 credits a month