I went straight to search intent as a signal for purchase readiness, which felt right but I think I underplayed the social discovery angle that makes TikTok actually different from other e-commerce platforms.
Start by clarifying the goal: growing TikTok Shop's user base through discovery features like search. Then, segment users by intent (e.g., browsers vs. searchers) and propose search enhancements that drive product discovery and conversion, while leveraging TikTok's unique content graph. Finally, prioritize initiatives by impact and feasibility, and outline success metrics.
Pro tip: Emphasize how search can bridge content and commerce by surfacing shoppable videos and products within search results, and consider the flywheel effect: more searches lead to better personalization, which drives more engagement and growth.
Confirm that the objective is user base growth for TikTok Shop via discovery features, and define what 'user base' means (e.g., new shoppers, active buyers).
Break down users by intent (e.g., explorers, searchers, buyers) and identify pain points in discovering products through search.
Suggest features like visual search, shoppable video results, personalized recommendations, and trending product searches to improve discovery.
Use a framework like RICE to prioritize initiatives, and define metrics such as search-to-purchase conversion, new user acquisition, and retention.
Outline a go-to-market plan for launching search features, including A/B testing, user education, and scaling based on feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.