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Root cause a sudden decline in retention among podcast fans using Podcasts
- Root Cause Analysis
- Spotify
- Medium
- 10 min
Problem Statement Description
Product context: Spotify is an audio streaming company; its products include music, podcasts, audiobooks, playlists, recommendations, creator tools, subscriptions, and ads.
Spotify has observed a sudden decline in retention among podcast fans using its Podcasts experience. These users are typically recurring podcast listeners who follow shows, receive new episode updates, browse recommendations, resume partially played episodes, download for offline listening, and may move between music, podcasts, audiobooks, and other audio formats within the same app.
Your task is to investigate the anomaly as a product RCA. The drop may be related to changes in user behavior, product experience, content supply, recommendation quality, notifications, playback reliability, advertising load, competitive pressure, measurement issues, or external seasonality. You should frame the problem clearly before jumping into causes, and distinguish between an actual user-retention issue and a tracking or reporting artifact.
The experience should consider:
- How “podcast fan” and “retention” should be defined, including denominator, time window, and expected baseline
- Segmentation by geography, platform, app version, subscription tier, listening frequency, followed shows, content genre, and acquisition source
- Funnel steps such as discovery, show follow, episode start, completion, resume, download, notification open, and return listening session
- Instrumentation checks for event logging, identity resolution, attribution, bot/filtering changes, and dashboard or cohort-definition changes
- Product hypotheses around recommendations, search, library access, playback, offline mode, notifications, ads, and cross-format navigation
- Supply-side and creator ecosystem factors, including show availability, release cadence, exclusivity, catalog removals, or content quality shifts
- External factors such as seasonality, major competitor moves, platform changes, media trends, or changes in user attention patterns
- Mitigation and prevention paths, including how to prioritize evidence, communicate impact, and monitor recovery
The goal is to present a structured investigation plan that narrows the issue from broad retention decline to the most likely root cause, identifies what data you would examine, explains how you would validate or reject hypotheses, and outlines immediate containment and longer-term prevention without assuming a solution upfront.
What this question tests
- Root Cause Analysis
- Data Decomposition
- Hypothesis Testing
- Prioritization
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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