Should SoundHound's voice AI platform prioritize expanding language support or improving accuracy for existing languages?

Introduction

The trade-off between expanding language support and improving accuracy for existing languages on SoundHound's voice AI platform is a critical decision that will shape our product strategy and user experience. This scenario involves balancing the breadth of our offering against the depth of our core functionality. I'll analyze this trade-off by examining our current product state, potential impacts, and key metrics, then design an experiment to inform our decision-making process.

Step 1

Clarifying Questions (3 minutes)

• Based on our current market position, I'm thinking language expansion might be crucial for growth. Could you share our current market share in existing languages versus potential in new markets?

Why it matters: Helps assess the growth potential of expansion vs. improvement Expected answer: Strong in English markets, untapped potential in others Impact on approach: High growth potential in new markets would favor expansion

• Considering user behavior, I suspect accuracy might be more critical for retention. What are our current user satisfaction and churn rates across different language markets?

Why it matters: Indicates whether accuracy or language availability is a bigger pain point Expected answer: Lower satisfaction in non-English markets due to accuracy issues Impact on approach: Low satisfaction would prioritize improving existing languages

• From a technical standpoint, I'm curious about the scalability of our language models. How much effort is required to add a new language compared to improving an existing one?

Why it matters: Affects resource allocation and timeline for each option Expected answer: New languages require significant initial investment but scale well Impact on approach: If new languages are much more resource-intensive, might favor improvement

• Regarding our team capacity, I'm wondering about our current expertise distribution. Do we have more linguists or machine learning experts available for this project?

Why it matters: Influences our ability to execute on either option effectively Expected answer: Stronger in ML, but with a growing linguistics team Impact on approach: Team composition could determine which option is more feasible short-term

• Considering our product roadmap, how urgent is this decision in relation to other priorities?

Why it matters: Helps frame the decision within our overall strategy Expected answer: High priority due to increasing competition in voice AI Impact on approach: High urgency might favor quicker wins in accuracy improvement