01
Home — Learn tab (path map)
Step 1 in the Duolingo Drill past mistakes flow. Atlas detected 18 UI elements on this screen.
Revyl Atlas flow
Duolingo Drill past mistakes flow
Navigate to Practice Hub and start a session focused on the 30+ previously missed exercises.
4Screens
PracticeFlow type
iOSPlatform
Home — Learn tab (path map)Starts at
Research notes
Why the Duolingo Drill past mistakes flow matters
Navigation pattern This flow shows how Duolingo carries a user from Home — Learn tab (path map) to Practice — Mistakes review (30+ items) across real app states.
Testing coverage The screen path gives QA and product teams concrete screens to verify, including visible UI density, transition order, and repeated mobile states.
Agent grounding Atlas makes this journey usable as navigation context for AI agents that need to understand the app before executing mobile tasks.
Screen path
Duolingo Drill past mistakes screenshots
This page is a crawlable breakdown of one real mobile journey. The screenshots, step labels, and element counts make the Duolingo Drill past mistakes path easier to compare against competing apps, reproduce during QA planning, and reuse as structured navigation context for app automation.
02
More sheet — Profile, Video Call, Practice
Step 2 in the Duolingo Drill past mistakes flow. Atlas detected 3 UI elements on this screen.
03
Practice Hub — Conversation and Skill Practice
Step 3 in the Duolingo Drill past mistakes flow. Atlas detected 7 UI elements on this screen.
04
Practice — Mistakes review (30+ items)
Step 4 in the Duolingo Drill past mistakes flow. Atlas detected 3 UI elements on this screen.
How to use it
Apply this flow to product and testing work
For product research Use the ordered path to understand which screens appear before and after key actions, how much interface density the user sees, and where the app introduces extra decisions or interruptions.
For QA planning Turn each screen in the path into a coverage checkpoint. The screenshot sequence helps teams verify expected states, navigation transitions, and UI inventory without manually rediscovering the journey.
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