Skill UI

A comprehensive framework for high-stakes negotiation, drawing from tactical empathy and behavioral science. It teaches users how to move beyond logical arguments by understanding the emotional drivers and underlying needs of the counterpart. Techniques include tactical empathy, mirroring, calibrated questioning, and accusation audits. Ideal for salary negotiations, contract discussions, sales objections, and difficult conversations, ensuring you uncover hidden information and build genuine rapport to achieve better outcomes.

A comprehensive coaching guide for advancing careers in the technology industry, covering roles like Software Engineering, Data Science, and Product Management. It provides actionable strategies for resume optimization (ATS format), technical interview preparation (Algorithms, System Design, Behavioral), salary negotiation, and navigating complex career paths (IC vs. Management). It adapts advice to both global (FAANG) and Chinese tech ecosystems.

A comprehensive guide for polishing sophisticated academic manuscripts, particularly those in Information Systems Research (ISR). This skill helps ensure the contribution is front-loaded, the structure is clear for diverse disciplinary audiences (behavioral, economic, design-science), and the formatting adheres to strict academic standards (e.g., INFORMS author-date style, abstract length limits). Ideal for late-stage editing passes before submission.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.