How can NAVEX balance the need for comprehensive data collection in its risk management software against user privacy concerns?

Introduction

Balancing comprehensive data collection in NAVEX's risk management software with user privacy concerns presents a critical trade-off. This scenario involves weighing the need for robust risk assessment against potential user resistance and regulatory compliance issues. I'll analyze this trade-off by examining product features, stakeholder impacts, metrics, and experimental approaches to find an optimal solution.

Step 1

Clarifying Questions (3 minutes)

• Based on the current regulatory landscape, I'm thinking data privacy might be a top concern for our enterprise clients. Could you share any recent feedback or concerns raised by our key accounts regarding data collection practices?

Why it matters: Helps prioritize privacy features based on client needs Expected answer: Increased scrutiny on data handling, especially in regulated industries Impact on approach: Would influence the balance towards stronger privacy controls

• Considering our revenue model, I assume comprehensive data collection is crucial for the effectiveness of our risk management solutions. Can you confirm how our pricing structure relates to the depth of data analysis we provide?

Why it matters: Determines the financial impact of potential data collection limitations Expected answer: Tiered pricing based on data analysis depth and customization Impact on approach: Would inform the trade-off between feature richness and privacy safeguards

• Looking at user behavior, I'm curious about the current data input patterns. What's the typical volume and sensitivity of data our users are inputting into the system?

Why it matters: Helps understand the scale of the privacy challenge and user expectations Expected answer: High volume of sensitive data across various risk categories Impact on approach: Would guide the design of privacy-preserving features and user education

• From a technical standpoint, I'm wondering about our current data anonymization capabilities. What methods are we currently employing to protect user data?

Why it matters: Identifies potential technical solutions to balance data collection and privacy Expected answer: Basic encryption and access controls in place Impact on approach: Would highlight areas for technical improvement in data protection

• Regarding our development resources, how flexible is our current sprint capacity to implement new privacy features?

Why it matters: Determines the feasibility of implementing complex privacy solutions Expected answer: Limited capacity due to ongoing feature development Impact on approach: Would influence the prioritization of privacy enhancements vs. other features