Skill UI

This skill provides expert guidance on applied behavioral science for marketing. It helps users analyze conversion roadblocks, optimize pricing, and improve copywriting by applying 70+ established psychological principles and mental models. Ideal for CRO specialists, marketers, and product managers seeking data-backed, psychologically informed strategies.

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.

Organize, query, validate, and convert neuroscience datasets using the Brain Imaging Data Structure (BIDS) standard. Supports MRI, EEG, and behavioral data. Use PyBIDS for indexing and bids-validator for compliance checking. Ideal for preparing data for analysis pipelines and repository submission.

This framework guides authors on positioning their Information Systems (IS) research manuscripts by joining existing, ongoing academic conversations rather than simply cataloging gaps. It emphasizes the necessity of demonstrating an intradisciplinary move by bridging multiple theoretical silos (e.g., economic, behavioral, design-science) and engaging core IS scholarship to maximize academic impact in top-tier journals.

This guide ensures that the chosen research methodology genres (e.g., behavioral empirical, analytical modeling, design science) are correctly aligned with the core research claim or phenomenon. It helps researchers identify the necessary design rigor, appropriate identification strategies (like DiD or IV), and the level of analysis required to ensure the study can genuinely support its contribution in the IS domain.

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.

This guide provides comprehensive methodological advice for academic submissions in Information Systems (IS), particularly for journals like JAIS. It covers selecting and rigorously defending diverse research designs—including behavioral experiments, causal inference (Economics of IS), design science, qualitative studies, and literature reviews. Use it when you need to validate the suitability of your methodology against your research claims and underlying phenomena.

A comprehensive guide for designing rigorous experimental studies in behavioral science. It covers establishing causal links, testing psychological mechanisms (mediation and moderation), controlling confounding variables, conducting power analysis, and adhering to modern academic standards like pre-registration, ensuring research meets the high bar of top-tier journals.

This guide details advanced best practices for creating publication-ready, APA-formatted tables and figures for academic research, particularly in behavioral sciences. It moves beyond simply presenting numbers, focusing instead on visualizing the underlying research mechanism, such as mediation paths, moderated effects, and multi-study comparisons. Mastery ensures rigor and clarity for top-tier submissions.

A comprehensive guide to structuring robustness checks for behavioral economics and empirical research. Instead of merely listing statistical tests, this framework mandates organizing checks by the underlying behavioral threat (e.g., experimenter demand, multiple comparisons, specification choice). It provides specific guidelines for experiments, observational data, and simulations, ensuring that findings are robust against alternative behavioral explanations and methodological choices.

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.