YouTube · Metrics · Mid · 45 to 60 minutes

Shorts watch time fell 25 percent

YouTube is a video platform where people watch, share, and upload content, including short vertical videos called Shorts. Answer this product management case and get it graded line by line against a weighted rubric.

Metrics thinking
Root cause analysis
Segmentation
Prioritization
Product judgment

The situation

You are the PM for YouTube Shorts engagement. Your director asks you to prepare a recommendation for the weekly product review after a sudden 25 percent drop in Shorts watch time over the last 2 weeks. Early checks show no major UI redesign and no major recommendation model launch during that window, so leadership is unsure whether this is a measurement issue, a viewer behavior shift, a creator supply problem, or an external market change. Assume this decline is large enough to put the quarter's engagement target at risk. The drop matters because Shorts is a key habit product, but acting too quickly could lead the team to ship the wrong fix, hurt creator trust, or trade off revenue for engagement without understanding the cause. You need to frame the problem, identify the most likely drivers, and propose the first actions the team should take. Your audience is a cross functional group of engineering, data science, design, and business leads who want a clear diagnosis plan and a practical path forward.

What to produce

Write a 1 to 2 page PM diagnosis memo.

Your answer must

Define the metric problem precisely, including whether you would evaluate total watch time, watch time per user, or both, and what business goal you would clarify first.
Specify the first cuts of analysis that would narrow scope, such as user tenure, region, platform, and level of Shorts usage.
Present 3 to 5 testable hypotheses that cover viewer demand, creator supply, distribution or discovery, and external factors, and name the key signal you would check for each.
Map a Shorts usage funnel from entry to return behavior and identify where you would look for drop off, including the metrics you would use at each stage.
Recommend a ranked action plan for the next review cycle, separating fast diagnostic steps from potential fixes and explaining the tradeoffs.

Constraints

No major UI redesign or recommendation model change is known to have launched in the period.
Work from existing product analytics and internal logs, there is no time for new surveys or a large market study before the review.
Your first proposed moves should be low risk and reversible, not a full rebuild of Shorts or a broad ranking rewrite.

Format

Use sections for problem framing, scope cuts, hypotheses, funnel diagnosis, and next actions.

How YouTube actually played it

A root cause case for declining YouTube Shorts usage, with the habit of structuring questions, funnel and fixes.

Decide whether the drop is supply, demand or distribution
Look at creators and viewers separately
Prioritize the fix that targets the confirmed cause

Built from YouTube Shorts declining: Root Cause Analysis case by Sreerag Panat.