Sample report

January product events — quality audit

Realistic scan output from app_events_january.csv: score, row status, issues, and event inventory before Mixpanel import.

Data quality scanapp_events_january.csv · 124,820 rows
Quality score
82/100

Row status

  • Ready 96,204
  • Auto-fixed 18,311
  • Needs review 8,912
  • Blocked 1,393

Top issues

Timestamp
12,406
Missing props
7,821
Event naming
4,218
Duplicates
3,104
User ID
2,144
Schema
92

Event categories

Engagement
42%
Activation
18%
Admin
16%
Unknown
14%
Retention
11%
Billing
9%
Integration
8%

Event quality

Event nameRowsStatus
Dashboard Viewed42,118Ready
Sign Up Completed18,420Ready
Trial Started6,811Auto-fixed
feature_use3,104Review
Payment Failed931Ready

This sample reflects a 124,820-row Mixpanel export from a B2B SaaS product team. Timestamp normalization and event naming were the highest-volume fixes; 8,912 rows required human review for user ID merges and schema edge cases.

Scan your analytics CSV before import.

Free preview on 10,000 rows · Human review before export to Mixpanel, Amplitude, or your warehouse.