I went straight for the creator angle and almost forgot to think about YouTube's business side entirely.
Start by clarifying the goal: is this tool meant to increase creator retention, video quality, or platform engagement? Then evaluate the proposal against YouTube's creator ecosystem, focusing on user needs, business impact, and technical feasibility. Conclude with a recommendation and a phased rollout plan.
Pro tip: Emphasize that YouTube's success depends on creator success, so any AI tool must augment—not replace—human creativity, and you should consider potential backlash from creators who fear AI homogenization.
Ask clarifying questions to understand the primary goal: is it to help new creators overcome writer's block, increase upload frequency, or improve video performance? Align with YouTube's mission and creator needs.
Identify which creators would benefit most (e.g., small creators, niche genres) and validate the problem through data or research. Consider if idea generation and scriptwriting are true bottlenecks.
Estimate potential impact on key metrics like creator retention, upload frequency, watch time, and ad revenue. Consider both short-term and long-term effects on the platform's health.
Assess technical feasibility (AI quality, scalability), resource requirements, and risks such as creator backlash, content homogenization, and ethical concerns about AI-generated content.
Based on the analysis, recommend whether to build, buy, or partner. If proceeding, suggest a phased approach (e.g., pilot with select creators) and define success metrics.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.