Product sense
Diagnose a Spotify session drop
A product sense preview for diagnosing product metrics when DAU is steady but engagement falls.
Scenario
Prompt preview
DAU is steady, but average session length has fallen 15% over six weeks. Engineering says nothing changed. Where do you start?
Skills
Skills this rep trains
- Metric framing
- Hypothesis ranking
- Segment analysis
- Recommendation clarity
Rubric preview
How FLOW will score the full answer
The public preview shows what good evidence looks like. The app scores your actual answer and stores the receipt.
Frame: separates DAU, depth, and segment movement before naming a solution.
List: covers acquisition quality, recommendation changes, content mix, and seasonality.
Win: names the first investigation and what decision it would unlock.
Follow-ups
Hatch-style coaching prompts
Which user segment do you inspect first?
What hypotheses explain flat DAU but lower session depth?
What would you ship or test first?
Locked workspace
What unlocks after sign in
Answer workspace with timers, notes, schema or code context where relevant.
Hatch follow-ups that adapt to your weak move instead of giving generic hints.
FLOW score receipts across Frame, List, Optimize, and Win.
Next-drill routing into the career goal you are training for.
Open the full workspace to answer, run, and get scored.
Public previews show the map. The app gives you reps, Hatch follow-ups, FLOW feedback, weak-move drills, and saved proof of progress.