Should Dialpad prioritize adding new AI-powered features to UberConference or focus on improving the stability and call quality of existing functionalities?

Introduction

The trade-off we're examining today is whether Dialpad should prioritize adding new AI-powered features to UberConference or focus on improving the stability and call quality of existing functionalities. This scenario touches on the classic product management dilemma of innovation versus optimization. I'll approach this analysis by first clarifying key aspects of the situation, then diving into a structured evaluation of both options, considering their impacts on various stakeholders and metrics. Finally, I'll propose a recommendation and outline next steps.

Step 1

Clarifying Questions (3 minutes)

• Based on recent market trends, I'm thinking AI features might be a key differentiator. Could you share how our competitors are positioned in terms of AI capabilities?

Why it matters: Helps assess the urgency of adding AI features Expected answer: Some competitors have basic AI, but there's room for innovation Impact on approach: If we're behind, might lean towards prioritizing AI features

• Considering our user base, I'm assuming stability issues are impacting a significant portion of users. What percentage of calls are experiencing quality problems?

Why it matters: Quantifies the scale of the stability problem Expected answer: Around 15-20% of calls have issues Impact on approach: If higher, might prioritize stability improvements

• Looking at our engineering resources, I'm guessing we have separate teams for AI development and infrastructure. How are our technical resources currently allocated?

Why it matters: Determines if we can pursue both paths simultaneously Expected answer: Limited overlap between AI and infrastructure teams Impact on approach: If separate, might consider a dual-track approach

• Thinking about our revenue model, I assume call quality directly impacts customer retention. How closely do we see churn correlating with call stability issues?

Why it matters: Helps quantify the business impact of stability problems Expected answer: Strong correlation between stability issues and churn Impact on approach: If high correlation, might lean towards prioritizing stability

• Considering our product roadmap, I'm curious about the timeline for potential AI features. Do we have any AI initiatives already in development?

Why it matters: Assesses the readiness and potential time-to-market for AI features Expected answer: Early-stage AI projects in R&D, 6-12 months from production Impact on approach: If far along, might influence decision to prioritize AI features