How do I measure active user engagement inside our native iOS app to see where users are dropping off after the latest update.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I measure active user engagement inside our native iOS app to see where users are dropping off after the latest update.
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Firebase Analytics iOS recommended events funnels user engagement app version comparison documentation Google ↗
Apple MetricKit documentation app launch performance crashes hangs iOS Google ↗
- MetricKit · developer.apple.com
- Monitoring app performance with MetricKit · developer.apple.com
- Track performance by app state using MetricKit · developer.apple.com
- Firebase iOS setup · firebase.google.com
- Amplitude website · amplitude.com
- Apple analytics documentation · developer.apple.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Firebase Analytics iOS recommended events funnels user engagement app version comparison documentation OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Apple MetricKit documentation app launch performance crashes hangs iOS OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |