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Product Management Root Cause Analysis Question: Investigating decline in ad decisioning requests for broadcast clients
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Nextsprints

Updated Jan 22, 2025

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Why has FreeWheel's ad decisioning service seen a 15% drop in requests from major broadcast clients over the past month?

Problem Solving Data Analysis Technical Understanding Advertising Technology Broadcasting Digital Media
Data Analysis Root Cause Analysis API Management Ad Tech Client Communication

Introduction

FreeWheel's ad decisioning service has experienced a 15% drop in requests from major broadcast clients over the past month. This significant decrease warrants a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this decline.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to FreeWheel's ad decisioning algorithm. Have there been any updates to the service in the last 1-2 months?

Why it matters: Recent changes could directly impact client usage. Expected answer: Yes, there was a minor update to improve efficiency. Impact on approach: If confirmed, we'd focus on the update's effects on client integration.

  • Looking at the client base, I'm curious about the distribution of this 15% drop. Is the decrease uniform across all major broadcast clients, or are some affected more than others?

Why it matters: Helps determine if the issue is systemic or client-specific. Expected answer: The drop varies, with some clients more affected than others. Impact on approach: Uneven distribution would lead us to investigate client-specific factors.

  • Considering market dynamics, have there been any significant changes in the competitive landscape recently? Have any competitors launched new features or pricing models?

Why it matters: External competitive pressures could explain the decline. Expected answer: One competitor introduced a new pricing model last month. Impact on approach: If confirmed, we'd analyze our market positioning and value proposition.

  • Thinking about seasonal trends, is this 15% drop unusual for this time of year, or do we typically see fluctuations in ad decisioning requests during this period?

Why it matters: Helps distinguish between normal seasonal variations and actual problems. Expected answer: This level of decrease is atypical for the season. Impact on approach: If unusual, we'd focus on recent changes rather than cyclical factors.

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