How can we enhance SnapScan's QR code scanning speed and accuracy?

Introduction

To enhance SnapScan's QR code scanning speed and accuracy, we need to delve deep into the user experience, technical capabilities, and market positioning of the product. I'll approach this challenge by first clarifying key aspects of the product, then analyzing user segments and pain points, before proposing and evaluating solutions. Let's begin with some critical questions to ensure we're aligned on the context and objectives.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking SnapScan might be in a competitive market where speed and accuracy are key differentiators. Could you share insights on our current market position and how we compare to our main competitors in terms of scanning speed and accuracy?

Why it matters: Determines if we need to focus on catching up or maintaining a lead Expected answer: We're in the top 3, but not leading in speed or accuracy Impact on approach: Would prioritize performance optimization over new features

• Considering user behavior, I'm curious about the most common use cases for SnapScan. Can you tell me the top 3 scenarios where users are scanning QR codes and if there are any particular environments or conditions that are challenging for our current scanning technology?

Why it matters: Helps identify specific areas for improvement and prioritization Expected answer: Payment transactions, event check-ins, and product information lookup; low light conditions are challenging Impact on approach: Would focus on optimizing for these specific use cases and addressing low light performance

• From a technical standpoint, I'm wondering about our current architecture and any constraints we might be facing. Could you provide an overview of the current tech stack and any known bottlenecks in the scanning process?

Why it matters: Identifies technical limitations and opportunities for optimization Expected answer: Using standard mobile camera APIs with custom image processing algorithms; bottleneck in image preprocessing Impact on approach: Would explore ways to optimize preprocessing or consider hardware-level improvements

• Thinking about company alignment, I'm interested in understanding the key metrics driving this improvement initiative. What specific KPIs are we aiming to impact, and are there any target improvements we're shooting for?

Why it matters: Ensures our solutions align with broader company goals Expected answer: Aiming to reduce average scan time by 30% and increase successful first-scan rate by 20% Impact on approach: Would focus on solutions that directly impact these metrics and propose ways to measure and validate improvements