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Product Management Root Cause Analysis Question: Investigating sudden conversion rate drop for 6sense's Intent Data feature
Image of author vinay

Vinay

Updated Dec 29, 2024

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What caused the sudden 30% decrease in conversion rates for 6sense's Intent Data feature last week?

Data Analysis Problem Solving Product Strategy B2B SaaS Marketing Technology Sales Intelligence
Conversion Optimization Product Metrics Data Analytics Root Cause Analysis B2B SaaS

Introduction

The sudden 30% decrease in conversion rates for 6sense's Intent Data feature last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent product update. Has there been any significant change to the Intent Data feature in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a UI update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.

  • Given the magnitude of the drop, I'm wondering about data accuracy. Have there been any changes to our tracking or analytics systems recently?

Why it matters: Ensures we're solving a real problem, not a data anomaly. Expected answer: No changes to analytics. Impact on approach: If yes, we'd investigate the data collection process first.

  • Considering user segments, I'm curious if this affects all users equally. Do we see this 30% drop across all customer types, or is it concentrated in specific segments?

Why it matters: Helps narrow down potential causes and affected users. Expected answer: The drop is more pronounced in enterprise customers. Impact on approach: If segmented, we'd focus on that specific user group; if universal, we'd look at broader issues.

  • Thinking about external factors, have there been any significant changes in the competitive landscape or market conditions that might explain this shift?

Why it matters: External factors can sometimes cause sudden metric changes. Expected answer: No major market shifts noted. Impact on approach: If yes, we'd consider market adaptation strategies; if no, we'd focus more on internal factors.

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