Should Voices prioritize expanding its voice actor database or improving the existing talent search algorithm to enhance client satisfaction?

Introduction

The trade-off question at hand is whether Voices should prioritize expanding its voice actor database or improving the existing talent search algorithm to enhance client satisfaction. This scenario involves balancing the quantity of available talent with the quality of search results for clients. I'll approach this analysis by examining the current product ecosystem, evaluating potential impacts, and designing experiments to inform our decision.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Voices is a platform connecting voice actors with clients. Could you confirm if this is correct and provide any additional context about the platform's current market position?

Why it matters: Helps frame the trade-off within the broader business context Expected answer: Confirmation and brief overview of market position Impact on approach: Would influence prioritization of growth vs. optimization strategies

• Business Context: Based on the focus on client satisfaction, I'm thinking this might be a key differentiator in a competitive market. How does Voices currently measure and prioritize client satisfaction in relation to other business metrics?

Why it matters: Helps align solution with core business objectives Expected answer: Details on client satisfaction metrics and their importance Impact on approach: Would guide the weighting of different metrics in our decision-making process

• User Impact: Considering the two options, I'm curious about the current user behavior. What percentage of clients typically go beyond the first page of search results, and how does this impact their likelihood of finding a suitable voice actor?

Why it matters: Helps understand the potential impact of algorithm improvements vs. database expansion Expected answer: Data on search behavior and conversion rates Impact on approach: Would influence the focus on search algorithm optimization vs. talent pool expansion

• Technical: Regarding the existing search algorithm, I'm wondering about its current capabilities and limitations. What are the main factors it considers, and where do you see the most room for improvement?

Why it matters: Helps assess the feasibility and potential impact of algorithm enhancements Expected answer: Overview of current algorithm functionality and known issues Impact on approach: Would guide the specific areas to target for algorithm improvement

• Resource: Considering both options require different types of resources, I'm curious about our current team composition. Do we have more capacity in talent acquisition or in engineering/data science?

Why it matters: Helps understand the feasibility of each option given current resources Expected answer: Overview of team capacities in relevant areas Impact on approach: Would influence the recommendation based on resource availability and potential timeline