For Sema4's carrier screening tests, should we prioritize increasing the number of conditions screened or improving the accuracy of current screenings?

Introduction

The trade-off we're examining today is whether to prioritize increasing the number of conditions screened or improving the accuracy of current screenings for Sema4's carrier screening tests. This decision is crucial for the company's product strategy and market positioning. I'll analyze this trade-off by considering user needs, business objectives, and technical feasibility.

Step 1

Clarifying Questions (3 minutes)

• Based on the competitive landscape, I'm thinking accuracy might be a key differentiator. Could you share how our current accuracy compares to leading competitors in the carrier screening market?

Why it matters: Helps determine if improving accuracy is a strategic necessity or a nice-to-have. Expected answer: We're slightly behind in accuracy for some key conditions. Impact on approach: If we're behind, it might justify prioritizing accuracy improvements.

• Considering our revenue model, I assume we charge per test. Is there a pricing difference between tests that screen for more conditions? How would expanding our condition list impact our pricing strategy?

Why it matters: Helps understand the direct revenue implications of increasing conditions screened. Expected answer: Tests with more conditions have a higher price point. Impact on approach: If true, it could make expanding conditions more attractive from a revenue perspective.

• From a user perspective, I'm curious about the feedback we've received. What's the primary concern from our users - the breadth of conditions screened or the reliability of results?

Why it matters: Aligns our priorities with user needs and expectations. Expected answer: Users are more concerned about reliability but also want comprehensive screening. Impact on approach: Would help balance the trade-off based on user priorities.

• Technically speaking, how interlinked are accuracy improvements and condition expansion in our current system? Would focusing on one significantly impact our ability to work on the other?

Why it matters: Determines if there's a technical constraint forcing us to choose. Expected answer: Some overlap, but largely independent efforts. Impact on approach: If highly interlinked, might need to prioritize one to enable the other.

• Regarding our team capacity, do we have separate teams for accuracy improvement and condition expansion, or would this be a resource allocation decision within the same team?

Why it matters: Helps understand the resource trade-offs and potential timeline implications. Expected answer: Same team would handle both initiatives. Impact on approach: Would require careful prioritization and potentially phased approach.