For Turnitin's Similarity Report, should we focus on increasing the granularity of match detection or simplifying the output for easier interpretation by students?

Introduction

The trade-off we're examining for Turnitin's Similarity Report is between increasing the granularity of match detection and simplifying the output for easier student interpretation. This decision impacts the core functionality of Turnitin's plagiarism detection service, balancing technical sophistication with user experience. I'll analyze this trade-off by considering user needs, technical feasibility, and business implications to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on recent user feedback, I'm thinking there might be issues with student comprehension of the current report. Could you share any data on how students are currently interacting with and understanding the Similarity Report?

Why it matters: Helps identify if simplification is truly needed or if the issue lies elsewhere. Expected answer: Low engagement or high support ticket volume related to report interpretation. Impact on approach: Would prioritize simplification if confirmed, or focus on education/onboarding if not.

• Considering our market position, I'm curious about our competitive landscape. How do our detection capabilities compare to our main competitors in terms of accuracy and granularity?

Why it matters: Informs whether increasing granularity is a differentiator or catch-up move. Expected answer: We're either leading or lagging in detection capabilities. Impact on approach: Would influence whether to prioritize granularity improvements or focus on other areas.

• From a technical standpoint, I'm wondering about the scalability of our current detection system. What's our current processing load, and how much headroom do we have for increasing granularity?

Why it matters: Determines the feasibility and cost of improving detection granularity. Expected answer: Either significant available capacity or nearing system limits. Impact on approach: Would impact the timeline and resources needed for granularity improvements.

• Thinking about our product roadmap, how does this decision align with our longer-term vision for the Similarity Report and overall Turnitin suite?

Why it matters: Ensures the decision supports our strategic direction. Expected answer: Clear alignment with either simplification or increased sophistication. Impact on approach: Would guide the balance between short-term improvements and long-term product evolution.