How do we measure mobile app user engagement effectively using Firebase since their latest dashboard update broke our custom reports?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we measure mobile app user engagement effectively using Firebase since their latest dashboard update broke our custom reports?
1 real search · 1 real-search pass
Firebase Google Analytics dashboard custom reports update 2026 Firebase console reports changes custom reports BigQuery export official documentationGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Firebase Google Analytics dashboard custom reports update 2026 Firebase console reports changes custom reports BigQuery export official documentation Google ↗
- Firebase Analytics events · firebase.google.com
- Firebase BigQuery export setup · firebase.google.com
- Link BigQuery to Firebase · support.google.com
- Set up BigQuery Export · support.google.com
- Firebase Analytics reports · firebase.google.com
- Understand your Analytics reports | Google Analytics for Firebase · firebase.google.cn