Introduction
To improve Voices' talent search filters for more efficient voice actor discovery, we need to analyze the current user experience, identify pain points, and develop targeted solutions. I'll approach this by examining user segments, analyzing their journey, and proposing data-driven improvements to the search functionality.
Clarifying Questions
Why it matters: This helps us tailor filters to the most common client needs. Expected answer: Commercial voiceovers, e-learning narration, and audiobook production. Impact on approach: We'd prioritize filters relevant to these specific project types.
Why it matters: This indicates the current efficiency of the search process. Expected answer: Clients spend an average of 30 minutes and review 20-30 profiles. Impact on approach: If high, we'd focus on reducing search time and streamlining results.
Why it matters: This helps us understand if we need to focus on quantity, quality, or specific niches. Expected answer: Large pool but less diverse in certain language or accent categories. Impact on approach: We might prioritize filters that highlight our strengths or improve discoverability in weaker areas.
Why it matters: This informs whether we should optimize for new user acquisition or retention of existing users. Expected answer: Mature product with slowing growth, seeing increased demand for niche voices. Impact on approach: We'd focus on advanced filters to help retain power users and attract specialized clients.
I'd like to take a minute to organize my thoughts before moving to the next section. Is that alright with you?
Practice similar questions
Subscribe to access the full answer