Should Morning Consult prioritize expanding its survey sample size for greater statistical accuracy or focus on faster turnaround times for its political polling reports?

Introduction

The trade-off between expanding survey sample size for greater statistical accuracy and focusing on faster turnaround times for political polling reports is a critical decision for Morning Consult. This scenario involves balancing data quality with speed of delivery, both of which are crucial in the fast-paced world of political polling. I'll analyze this trade-off by examining the product, stakeholders, metrics, and potential experiments to inform our decision.

Step 1

Clarifying Questions (3 minutes)

• Based on the competitive landscape, I'm thinking speed might be a key differentiator. Could you share how our turnaround times compare to our main competitors?

Why it matters: Helps understand our market position and potential competitive advantage. Expected answer: We're currently in the middle of the pack. Impact on approach: If we're lagging, it might justify prioritizing speed over sample size.

• Considering our revenue model, I assume we charge clients based on report depth and frequency. Is this correct, and how does pricing vary with sample size?

Why it matters: Clarifies the direct financial impact of our decision. Expected answer: Yes, larger sample sizes command higher prices. Impact on approach: If larger samples significantly increase revenue, it could outweigh the benefits of faster turnaround.

• Looking at user behavior, I'm curious about how our clients typically use our reports. Do they value depth of analysis or quick snapshots more?

Why it matters: Aligns our product offering with client needs. Expected answer: It varies by client type, with media preferring speed and campaigns valuing depth. Impact on approach: Might lead to a segmented solution based on client type.

• From a technical perspective, I'm wondering about our current data processing capabilities. How scalable is our system for handling larger sample sizes?

Why it matters: Determines the feasibility of expanding sample sizes without major infrastructure changes. Expected answer: Our system can handle moderate increases but would need upgrades for significant expansion. Impact on approach: Could limit how much we can realistically expand sample sizes in the short term.

• Regarding resources, I'm thinking this might require additional staff or technology investments. What's our current capacity for expanding either sample size or processing speed?

Why it matters: Helps understand the practical constraints on our options. Expected answer: We have some budget for technology upgrades but limited hiring capacity. Impact on approach: Might favor solutions that leverage technology over those requiring significant new hires.