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Product Management Trade-off Question: Balancing automation and manual control in advertising platforms

The Ads team is discussing: should we add more automation features that reduce control, or maintain manual options?

Product Trade-Off Hard Member-only
Trade-Off Analysis Metric Selection Experiment Design Digital Advertising MarTech SaaS
Product Strategy A/B Testing Automation User Segmentation Ad Tech

Introduction

The Ads team is facing a critical decision: should we enhance automation features at the expense of manual control, or maintain the current level of manual options? This trade-off involves balancing efficiency and scalability with user flexibility and customization. I'll analyze this scenario through multiple lenses, considering stakeholder impacts, metrics, and potential outcomes.

Analysis Approach

I'd like to outline my approach to ensure we're aligned on the key areas I'll cover in my analysis.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm assuming this is for our main advertising platform. Could you confirm if this applies to all ad types or specific formats?

Why it matters: Different ad formats may have varying automation needs. Expected answer: Applies to all major ad formats. Impact: Would need to consider cross-format implications.

  • Business Context: Based on our recent earnings, I'm thinking this might be tied to improving our ROAS for advertisers. How does this align with our current strategic priorities?

Why it matters: Helps prioritize the solution against business objectives. Expected answer: High priority, directly impacts main revenue stream. Impact: Would justify faster timeline and more resources.

  • User Impact: Considering our diverse advertiser base, I'm curious about the segments most affected. Can you share any data on which advertiser segments are pushing for more automation vs. manual control?

Why it matters: Helps tailor the solution to key user needs. Expected answer: Small businesses prefer automation, large enterprises want manual control. Impact: Might lead to a segmented approach rather than one-size-fits-all.

  • Technical Feasibility: I'm wondering about our ML capabilities. How advanced is our current automation technology, and what's the projected timeline for significant improvements?

Why it matters: Determines the viability and timeline of automation enhancements. Expected answer: Solid foundation, 6-12 months for major improvements. Impact: Influences the aggressiveness of the automation rollout.

  • Resource Allocation: Given the potential scope, I'm curious about our team capacity. Do we have dedicated resources for this initiative, or would it compete with other priorities?

Why it matters: Affects implementation timeline and quality. Expected answer: Limited dedicated resources, some competition with other projects. Impact: Might need to phase the rollout or adjust other project timelines.

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