As PM for Assistant, would you add more voice commands that might reduce accuracy, or maintain current command set with higher reliability?

Introduction

The trade-off we're considering for the Assistant product is whether to expand the voice command set at the potential cost of accuracy, or maintain the current command set with higher reliability. This scenario touches on the core tension between feature expansion and quality maintenance in AI-powered voice assistants. I'll analyze this trade-off by examining user needs, technical constraints, business implications, and potential experiments to inform our decision.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about the current state of our voice assistant market share. Could you share where we stand compared to competitors in terms of user adoption and satisfaction?

Why it matters: Helps gauge the urgency of feature expansion vs. quality improvement Expected answer: Middle-tier market share with room for growth Impact: If lagging, might lean towards feature expansion; if leading, focus on maintaining quality

• Business Context: Based on our revenue model, I assume voice interactions drive user engagement and data collection. How critical is expanding voice functionality to our near-term revenue goals?

Why it matters: Aligns decision with business priorities Expected answer: Moderate importance, part of broader AI strategy Impact: High importance would favor expansion, lower would prioritize reliability

• User Impact: I'm curious about our user segments. What proportion of our users are power users who might benefit from expanded commands versus casual users who prioritize reliability?

Why it matters: Helps balance needs of different user groups Expected answer: Mix of both, with growing power user segment Impact: Large power user base might justify expansion, while casual majority would favor reliability

• Technical: Considering our current AI models, what's the estimated accuracy drop if we were to expand the command set by, say, 20%?

Why it matters: Quantifies the potential quality trade-off Expected answer: 5-10% accuracy drop initially Impact: Smaller drop might make expansion more feasible, larger drop more risky

• Resource: How much additional engineering and QA resources would be required to maintain our current accuracy standards while expanding the command set?

Why it matters: Assesses feasibility and cost of expansion Expected answer: Significant increase in resources needed Impact: High resource requirement might favor maintaining current set, lower might enable expansion