Here is a dataset showing the conversion rate for our electronics category over the last month. It dropped from 3.2% to 1.8% week over week despite consistent traffic. Walk me through how you would diagnose the root cause and propose a growth experiment to reverse this trend.

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In my previous role as a junior growth associate at a local e-commerce startup, I noticed our mobile accessories category had a sudden conversion drop from 4% to 2.5% over two weeks. I needed to identify why the drop happened and run a quick experiment to recover conversions before the monthly targets were missed. I first segmented the data by traffic source and device type, finding that 70% of the decline came from users on older Android versions after a site update. I then proposed an A/B test where I reverted the checkout button placement for that user segment while keeping the new design for others. I coordinated with the dev team to deploy the variant within three days and set up daily monitoring on Google Analytics. The old placement recovered the conversion rate to 3.8% for that segment, and the overall category conversion returned to 3.5% within a week, saving approximately 200 lost orders for the month.

Here is a dataset showing the conversion rate for our electronics category over the last month. It dropped from 3.2% to 1.8% week over week despite consistent traffic. Walk me through how you would diagnose the root cause and propose a growth experiment to reverse this trend.

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