For ABBYY's Mobile Capture SDK, should we optimize for faster processing speed or higher accuracy in document recognition?

Introduction

For ABBYY's Mobile Capture SDK, we're facing a critical trade-off between optimizing for faster processing speed or higher accuracy in document recognition. This decision will significantly impact user experience, resource allocation, and our competitive positioning in the mobile document capture market. 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 market position, I'm thinking accuracy might be our key differentiator. Could you share how our current accuracy rates compare to our main competitors?

Why it matters: Helps determine if we should focus on maintaining a competitive edge or catching up. Expected answer: We're slightly ahead but the gap is narrowing. Impact on approach: If we're ahead, we might prioritize speed to widen our overall advantage.

• Considering user behavior, I suspect processing speed significantly impacts user retention. Do we have data on user drop-off rates correlated with processing times?

Why it matters: Identifies the real-world impact of speed on user experience. Expected answer: Yes, we see a sharp increase in drop-offs after 3 seconds. Impact on approach: A clear correlation would push us towards prioritizing speed.

• Looking at our revenue model, I'm curious about how accuracy affects our pricing strategy. Are we charging premium rates based on our accuracy levels?

Why it matters: Helps understand the direct financial implications of accuracy. Expected answer: Yes, our higher accuracy allows us to charge 20% more than competitors. Impact on approach: Strong price correlation with accuracy would favor maintaining or improving it.

• From a technical standpoint, I'm wondering about the scalability of our current accuracy algorithms. How much additional processing power would be required to increase accuracy by 5%?

Why it matters: Assesses the feasibility and cost of improving accuracy. Expected answer: It would require a 30% increase in processing power. Impact on approach: High resource requirements might push us towards optimizing speed instead.

• Considering our product roadmap, how does this decision align with our plans for expanding into new document types or languages?

Why it matters: Ensures the decision supports long-term product strategy. Expected answer: We're planning to add support for handwritten documents next quarter. Impact on approach: Expansion plans might require maintaining high accuracy levels.