Skill UI

Guides teams through planning, designing, and running statistically sound A/B tests with hypothesis framing, sample sizing, metric selection, implementation strategies, and analysis checkpoints for systematic growth experimentation.

This comprehensive checklist guides teams through the entire process of deploying Granola in a production or enterprise environment. It covers critical phases including plan selection, security hardening (SSO, data retention), integration setup (Slack, Notion, CRM), pilot testing, and post-launch monitoring, ensuring a smooth and successful organizational rollout.

A comprehensive framework for global expansion, guiding businesses through market selection, evaluating entry modes (export, partnership, subsidiary), and executing localization strategies. Covers product adaptation, go-to-market planning, regulatory compliance, and operational setup for new international regions.

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

Build a complete, actionable social media strategy for any brand, product, or creator. This skill covers audience deep dives, platform selection rationale, content pillar definition, tone of voice guidelines, and a full posting cadence framework. Ideal for marketing teams, founders, or agencies needing an immediate execution plan.

This skill guides users through assessing the viability and timeliness of a research topic for a high-level policy journal. It evaluates whether a question meets stringent criteria—including first-order policy stakes, current global relevance, and empirical tractability—to be featured in a panel debate. It is essential for turning an academic idea into a publishable, policy-relevant narrative.

This guide provides comprehensive methodological frameworks for designing research studies in the field of entrepreneurship. It helps users match specific entrepreneurial theories or questions (e.g., founder cognition, financing signals) to appropriate research designs, covering qualitative, quantitative, and mixed methods. Crucially, it details how to address endemic challenges unique to studying new ventures, such as selection bias, survivorship bias, and establishing proper temporal precedence.

This guide provides a rigorous framework for evaluating finance research topics before writing begins. It helps authors ensure the topic is general-interest, practically relevant to decision-makers (CFOs, investors, regulators), highly topical, and genuinely original. It ensures the work meets the standards of top general-interest finance journals.

A comprehensive tool for sanity-checking research questions intended for Information Systems Research (ISR). It guides users to test the topic's fitness across four dimensions: IT-artifact centrality, sociotechnical framing, intradisciplinary potential, and level of analysis. It helps determine if the topic belongs in ISR or neighboring venues like MISQ or JMIS.

This guide helps researchers refine and elevate preliminary marketing findings into high-impact, publishable questions suitable for JAMS. It teaches the rigorous standards required for a question to be broad, theoretically generative, and managerially consequential, ensuring proper positioning against competing academic journals.

This guide provides a rigorous framework for designing empirical and qualitative studies in the field of entrepreneurship. It emphasizes a 'theory-first' approach, guiding researchers on how to structure designs that effectively test theoretical mechanisms while addressing common methodological challenges such as selection bias, survivorship bias, and establishing temporal precedence. Essential for manuscripts targeting top-tier journals in the field.

This guide assists researchers in elevating a simple observed 'effect' into a theoretically robust and conceptually advanced research contribution suitable for the Journal of Consumer Research (JCR). It provides frameworks for assessing interdisciplinary relevance, distinguishing between behavioral and interpretive genres, and ensuring the question genuinely advances existing consumer theory.