For Onit's AI-powered contract review tool, should we emphasize improving accuracy or increasing processing speed to handle larger volumes of documents?

Introduction

For Onit's AI-powered contract review tool, we're facing a critical trade-off between improving accuracy and increasing processing speed to handle larger volumes of documents. This decision will significantly impact our product's value proposition and market positioning. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on our current market position, I'm thinking accuracy might be our key differentiator. Could you share how our accuracy compares to competitors, and if there's a specific accuracy threshold we're aiming for?

Why it matters: Helps determine if accuracy improvement is a must-have or a nice-to-have. Expected answer: We're slightly ahead but aiming for 95% accuracy. Impact on approach: If we're already leading in accuracy, speed might be more critical for growth.

• Considering user behavior, I'm assuming larger enterprises might prioritize speed due to high document volumes. Can you tell me about our current user segments and their primary pain points?

Why it matters: Aligns our decision with user needs and potential market expansion. Expected answer: Mix of SMBs and enterprises, with enterprises requesting faster processing. Impact on approach: Would influence whether we prioritize speed for enterprise growth or accuracy for SMB retention.

• From a technical standpoint, I'm curious about the current bottlenecks in our system. Are the accuracy and speed improvements mutually exclusive, or could we potentially improve both simultaneously?

Why it matters: Determines if this is truly an either/or decision or if we can find a balanced approach. Expected answer: Some improvements could benefit both, but significant gains in one area would impact the other. Impact on approach: Would explore potential for incremental improvements in both areas before making a binary choice.

• Regarding resources, I'm wondering about our current team capacity and expertise. Do we have the necessary talent in-house to tackle both accuracy and speed improvements, or would we need to hire or outsource?

Why it matters: Influences the feasibility and timeline of potential solutions. Expected answer: In-house expertise for accuracy, might need to hire for speed optimization. Impact on approach: Could lead to a phased approach, starting with accuracy while building speed capabilities.

• Considering our product roadmap, I'm thinking this decision might impact our release schedule. What's our timeline for implementing these improvements, and are there any upcoming feature releases or partnerships that could be affected?

Why it matters: Ensures alignment with broader product strategy and commitments. Expected answer: Aiming for improvements within the next two quarters, with a major partnership launch in Q4. Impact on approach: Would factor in the partnership requirements and potentially prioritize the improvement that best supports that launch.