I went straight into user personas and forgot to ask any clarifying questions first, which I regret.
Start by clarifying the goal and constraints, then segment the market and prioritize a target user. Focus on solving a key pain point with a differentiated product, and outline a sustainable monetization strategy.
Pro tip: Anchor your design around trust and authentication, as these are the biggest barriers in high-value antique transactions. Show how your solution leverages Splunk's data capabilities to enhance trust and user experience.
Ask questions to understand the goal (e.g., revenue, user acquisition), target market, and any constraints (budget, timeline, platform).
Define user personas (buyers, sellers, browsers) and their key pain points such as authenticity verification, price discovery, and logistics.
Select a primary user segment and core problem to solve, then outline the minimum viable product features that address that problem.
Describe the main features (e.g., authentication, search, bidding) and how users will interact with them to complete transactions.
Propose a revenue model (e.g., commission, subscription) and key success metrics (e.g., GMV, active users, retention).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.