Introduction
Taboola's publisher onboarding completion rate decline from 80% to 65% in the past quarter is a significant issue that requires immediate attention. This drop could have far-reaching implications for Taboola's business model, which relies heavily on a robust network of publishers. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term 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: Product changes often impact user behavior and completion rates. Expected answer: Yes, there was a UI redesign of the onboarding flow. Impact on approach: If confirmed, we'd focus on analyzing the new UI's impact on user experience.
Why it matters: Different publisher types may have varying needs and completion rates. Expected answer: We've seen an increase in smaller, niche publishers. Impact on approach: We'd investigate if the onboarding process is less suitable for these new publisher types.
Why it matters: External pressures can influence publisher behavior and priorities. Expected answer: A major competitor launched an aggressive onboarding incentive program. Impact on approach: We'd need to consider how to remain competitive while maintaining quality.
Why it matters: Metric definition changes can lead to apparent performance shifts. Expected answer: No changes to the metric definition or measurement system. Impact on approach: We'd focus on actual performance issues rather than measurement anomalies.
Practice similar questions
Subscribe to access the full answer