Introduction
The unexpected 25% increase in bounce rates for Digitas's recently redesigned client websites compared to the previous versions is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpoints the timeframe for investigation. Expected answer: Within the last 1-3 months. Impact on approach: Narrows the focus to changes made during that period.
Why it matters: Helps identify if the issue is universal or specific to certain segments. Expected answer: Varies by client, with some more affected than others. Impact on approach: May lead to investigating industry-specific or design-related factors.
Why it matters: Could reveal if the issue is related to user expectations or marketing changes. Expected answer: Some changes in traffic sources, possibly more mobile or social media traffic. Impact on approach: Might focus on mobile optimization or landing page relevance.
Why it matters: Slow load times often correlate with higher bounce rates. Expected answer: Some performance changes, possibly slower load times on certain devices. Impact on approach: Could lead to prioritizing technical optimization strategies.
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